Year |
Citation |
Score |
2020 |
Wang G, Huang W, Zhou G, Mayes MA, Zhou J. Modeling the processes of soil moisture in regulating microbial and carbon-nitrogen cycling Journal of Hydrology. 585: 124777. DOI: 10.1016/J.Jhydrol.2020.124777 |
0.328 |
|
2019 |
Medvigy D, Wang G, Zhu Q, Riley WJ, Trierweiler AM, Waring BG, Xu X, Powers JS. Observed variation in soil properties can drive large variation in modeled forest functioning and composition during tropical forest secondary succession. The New Phytologist. PMID 30980535 DOI: 10.1111/Nph.15848 |
0.311 |
|
2019 |
Liang J, Wang G, Ricciuto DM, Gu L, Hanson PJ, Wood JD, Mayes MA. Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements Geoscientific Model Development. 12: 1601-1612. DOI: 10.5194/Gmd-12-1601-2019 |
0.322 |
|
2019 |
Wang G, Huang W, Mayes MA, Liu X, Zhang D, Zhang Q, Han T, Zhou G. Soil moisture drives microbial controls on carbon decomposition in two subtropical forests Soil Biology and Biochemistry. 130: 185-194. DOI: 10.1016/J.Soilbio.2018.12.017 |
0.329 |
|
2018 |
Li J, Wang G, Mayes MA, Allison SD, Frey SD, Shi Z, Hu XM, Luo Y, Melillo JM. Reduced carbon use efficiency and increased microbial turnover with soil warming. Global Change Biology. PMID 30417564 DOI: 10.1111/Gcb.14517 |
0.317 |
|
2018 |
Liang J, Wang G, Ricciuto DM, Gu L, Hanson PJ, Wood JD, Mayes MA. Evaluating the E3SM Land Model at a temperate forest site using flux and soil water measurements Geoscientific Model Development Discussions. 1-20. DOI: 10.5194/Gmd-2018-34 |
0.322 |
|
2018 |
Sulman BN, Moore JAM, Abramoff R, Averill C, Kivlin S, Georgiou K, Sridhar B, Hartman MD, Wang G, Wieder WR, Bradford MA, Luo Y, Mayes MA, Morrison E, Riley WJ, et al. Multiple models and experiments underscore large uncertainty in soil carbon dynamics Biogeochemistry. 141: 109-123. DOI: 10.1007/S10533-018-0509-Z |
0.324 |
|
2017 |
Wang K, Peng C, Zhu Q, Zhou X, Wang M, Zhang K, Wang G. Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX-GHG Journal of Advances in Modeling Earth Systems. 9: 2368-2384. DOI: 10.1002/2017Ms000920 |
0.317 |
|
2016 |
Yu X, Wang G, Chen S, Wei G, Shang Y, Dong L, Schön T, Moradigaravand D, Parkhill J, Peacock SJ, Köser CU, Huang H. Mycobacterium tuberculosis wild-type and non-wild-type MIC distributions for the novel fluoroquinolone antofloxacin compared with ofloxacin, levofloxacin, and moxifloxacin. Antimicrobial Agents and Chemotherapy. PMID 27324769 DOI: 10.1128/AAC.00393-16 |
0.482 |
|
2016 |
Yu X, Ma YF, Jiang GL, Chen ST, Wang GR, Huang HR. Sensititre® MYCOTB MIC plate for drug susceptibility testing of Mycobacterium tuberculosis complex isolates. The International Journal of Tuberculosis and Lung Disease : the Official Journal of the International Union Against Tuberculosis and Lung Disease. 20: 329-334. PMID 27046713 DOI: 10.5588/ijtld.15.0573 |
0.457 |
|
2016 |
Jiao X, Tang Q, Chen S, Deng Y, Cao H, Wang G, Yang Y. Spatial distribution and temporal trends of farmland soil PBDEs: processes and crop rotation effects. Environmental Science and Pollution Research International. PMID 27005276 DOI: 10.1007/s11356-016-6442-6 |
0.352 |
|
2016 |
Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K, Adhihetty PJ, Adler SG, Agam G, Agarwal R, Aghi MK, ... ... Wang G, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 12: 1-222. PMID 26799652 DOI: 10.1080/15548627.2015.1100356 |
0.692 |
|
2015 |
Yang S, Luo C, Gu Q, Xu Q, Wang G, Sun H, Qian Z, Tan Y, Qin Y, Shen Y, Xu X, Chen SH, Chan CC, Wang H, Mao M, et al. Activating JAK1 mutation may predict the sensitivity of JAK-STAT inhibition in hepatocellular carcinoma. Oncotarget. PMID 26701727 DOI: 10.18632/Oncotarget.6684 |
0.312 |
|
2015 |
Wang G, Chen S, Zhao C, Li X, Zhang L, Zhao W, Chang C, Xu C. Gene expression profiles predict the possible regulatory role of opn-mediated signaling pathways in rat liver regeneration. Gene. PMID 26581507 DOI: 10.1016/j.gene.2015.11.008 |
0.3 |
|
2015 |
Yu XJ, Yang MJ, Zhou B, Wang GZ, Huang YC, Wu LC, Cheng X, Wen ZS, Huang JY, Zhang YD, Gao XH, Li GF, He SW, Gu ZH, Ma L, et al. Characterization of Somatic Mutations in Air Pollution-Related Lung Cancer. Ebiomedicine. 2: 583-590. PMID 26288819 DOI: 10.1016/J.Ebiom.2015.04.003 |
0.475 |
|
2015 |
Wang G, Li XJ, Hu YS, Cheng Q, Wang CF, Xiao Q, Liu J, Ma JF, Zhou HY, Pan J, Tan YY, Wang Y, Chen SD. Mortality from Parkinson's disease in China: Findings from a five-year follow up study in Shanghai. The Canadian Journal of Neurological Sciences. Le Journal Canadien Des Sciences Neurologiques. 42: 242-7. PMID 26153040 DOI: 10.1017/Cjn.2015.49 |
0.464 |
|
2015 |
Wang G, Jagadamma S, Mayes MA, Schadt CW, Steinweg JM, Gu L, Post WM. Microbial dormancy improves development and experimental validation of ecosystem model. The Isme Journal. 9: 226-37. PMID 25012899 DOI: 10.1038/Ismej.2014.120 |
0.318 |
|
2015 |
Moore JAM, Jiang J, Patterson CM, Mayes MA, Wang G, Classen AT. Interactions among roots, mycorrhizas and free-living microbial communities differentially impact soil carbon processes Journal of Ecology. 103: 1442-1453. DOI: 10.1111/1365-2745.12484 |
0.306 |
|
2015 |
He Y, Yang J, Zhuang Q, Harden JW, McGuire AD, Liu Y, Wang G, Gu L. Incorporating microbial dormancy dynamics into soil decomposition models to improve quantification of soil carbon dynamics of northern temperate forests Journal of Geophysical Research G: Biogeosciences. 120: 2596-2611. DOI: 10.1002/2015Jg003130 |
0.33 |
|
2014 |
Wang G, Mayes MA, Gu L, Schadt CW. Representation of dormant and active microbial dynamics for ecosystem modeling. Plos One. 9: e89252. PMID 24558490 DOI: 10.1371/Journal.Pone.0089252 |
0.313 |
|
2014 |
Li J, Wang G, Allison SD, Mayes MA, Luo Y. Soil carbon sensitivity to temperature and carbon use efficiency compared across microbial-ecosystem models of varying complexity Biogeochemistry. 119: 67-84. DOI: 10.1007/S10533-013-9948-8 |
0.314 |
|
2014 |
Wang G, Barber ME, Chen S, Wu JQ. SWAT modeling with uncertainty and cluster analyses of tillage impacts on hydrological processes Stochastic Environmental Research and Risk Assessment. 28: 225-238. DOI: 10.1007/S00477-013-0743-9 |
0.434 |
|
2013 |
Wang G, Chen S. Evaluation of a soil greenhouse gas emission model based on Bayesian inference and MCMC: Parameter identifiability and equifinality Ecological Modelling. 253: 107-116. DOI: 10.1016/J.Ecolmodel.2012.09.011 |
0.431 |
|
2013 |
Wang G, Chen S. Evaluation of a soil greenhouse gas emission model based on Bayesian inference and MCMC: Model uncertainty Ecological Modelling. 253: 97-106. DOI: 10.1016/J.Ecolmodel.2012.09.010 |
0.428 |
|
2012 |
Wang G, Chen S, Frear C. Estimating greenhouse gas emissions from soil following liquid manure applications using a unit response curve method Geoderma. 170: 295-304. DOI: 10.1016/J.Geoderma.2011.12.001 |
0.418 |
|
2012 |
Wang G, Chen S. A review on parameterization and uncertainty in modeling greenhouse gas emissions from soil Geoderma. 170: 206-216. DOI: 10.1016/J.Geoderma.2011.11.009 |
0.43 |
|
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