| Year |
Citation |
Score |
| 2018 |
Gao X, Petricoin Iii EF, Ward KR, Goldberg SR, Duane TM, Bonchev D, Arodz T, Diegelmann RF. Network proteomics of human dermal wound healing. Physiological Measurement. PMID 30524050 DOI: 10.1088/1361-6579/Aaee19 |
0.382 |
|
| 2016 |
Chandrasekaran S, Bonchev D. Network analysis of human post-mortem microarrays reveals novel genes, microRNAs, and mechanistic scenarios of potential importance in fighting huntington's disease. Computational and Structural Biotechnology Journal. 14: 117-130. PMID 27924190 DOI: 10.1016/J.Csbj.2016.02.001 |
0.684 |
|
| 2016 |
Chandrasekaran S, Bonchev D. Network Topology Analysis of Post-Mortem Brain Microarrays Identifies More Alzheimer's Related Genes and MicroRNAs and Points to Novel Routes for Fighting with the Disease. Plos One. 11: e0144052. PMID 26784894 DOI: 10.1371/Journal.Pone.0144052 |
0.687 |
|
| 2015 |
Arodz T, Bonchev D. Identifying influential nodes in a wound healing-related network of biological processes using mean first-passage time New Journal of Physics. 17. DOI: 10.1088/1367-2630/17/2/025002 |
0.478 |
|
| 2013 |
Chandrasekaran S, Bonchev D. A network view on Parkinson's disease. Computational and Structural Biotechnology Journal. 7: e201304004. PMID 24688734 DOI: 10.5936/Csbj.201304004 |
0.66 |
|
| 2013 |
Arodz T, Bonchev D, Diegelmann RF. A Network Approach to Wound Healing. Advances in Wound Care. 2: 499-509. PMID 24527361 DOI: 10.1089/Wound.2012.0386 |
0.451 |
|
| 2010 |
Taylor DT, Cain JW, Bonchev DG, Fong SS, Apte AA, Pace LE. Toward a classification of isodynamic feed-forward motifs. Journal of Biological Dynamics. 4: 196-211. PMID 22876986 DOI: 10.1080/17513750903144461 |
0.41 |
|
| 2010 |
Thomas S, Bonchev D. A survey of current software for network analysis in molecular biology. Human Genomics. 4: 353-360. PMID 20650822 DOI: 10.1186/1479-7364-4-5-353 |
0.644 |
|
| 2010 |
Mazurie A, Bonchev D, Schwikowski B, Buck GA. Evolution of metabolic network organization. Bmc Systems Biology. 4: 59. PMID 20459825 DOI: 10.1186/1752-0509-4-59 |
0.407 |
|
| 2010 |
Bonchev D, Thomas S, Apte A, Kier LB. Cellular automata modelling of biomolecular networks dynamics. Sar and Qsar in Environmental Research. 21: 77-102. PMID 20373215 DOI: 10.1080/10629360903568580 |
0.432 |
|
| 2008 |
Managbanag JR, Witten TM, Bonchev D, Fox LA, Tsuchiya M, Kennedy BK, Kaeberlein M. Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity. Plos One. 3: e3802. PMID 19030232 DOI: 10.1371/Journal.Pone.0003802 |
0.439 |
|
| 2008 |
Mazurie A, Bonchev D, Schwikowski B, Buck GA. Phylogenetic distances are encoded in networks of interacting pathways. Bioinformatics (Oxford, England). 24: 2579-85. PMID 18820265 DOI: 10.1093/Bioinformatics/Btn503 |
0.432 |
|
| 2008 |
Apte AA, Cain JW, Bonchev DG, Fong SS. Cellular automata simulation of topological effects on the dynamics of feed-forward motifs. Journal of Biological Engineering. 2: 2. PMID 18304325 DOI: 10.1186/1754-1611-2-2 |
0.484 |
|
| 2007 |
Witten TM, Bonchev D. Predicting aging/longevity-related genes in the nematode Caenorhabditis elegans. Chemistry & Biodiversity. 4: 2639-2655. PMID 18027377 DOI: 10.1002/Cbdv.200790216 |
0.41 |
|
| 2007 |
Bonchev D, Buck GA. From molecular to biological structure and back. Journal of Chemical Information and Modeling. 47: 909-17. PMID 17407281 DOI: 10.1021/ci7000617 |
0.322 |
|
| 2005 |
Kier LB, Bonchev D, Buck GA. Modeling biochemical networks: a cellular-automata approach. Chemistry & Biodiversity. 2: 233-243. PMID 17191976 DOI: 10.1002/Cbdv.200590006 |
0.377 |
|
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