Node connection strength in Physiology Academic Tree.
Each node in Physiology Academic Tree can be characterized by its mean distance from every other node. Below is a histogram of mean distances for every node in the tree. The final bin includes nodes that are not connected to the main tree. Note also that only individuals whose primary affiliation is this tree are included. Nodes cross-listed from other academic trees are included on their primary tree.
Mean inter-node distance|
|Number of nodes|
20 most tightly coupled nodes.
Below are the Physiology Academic Tree nodes with shortest mean distance.
|1||12.73||Torsten Thunberg (Info)||Lund University||tissue respiration||2012-01-03|
|2||15.98||Andrew S. Greene (Info)||The Jackson Laboratory||2012-05-03|
|3||16.19||George A. Kimmich (Info)||University of Rochester||2009-09-03|
|4||17.49||Michael A. Holinstat (Info)||University of Michigan, Ann Arbor||Pharmacology, cardiovascular, thrombosis, human, mice, platelets||2016-04-13|
|5||17.78||John Scott Haldane (Info)||University of Oxford||respiration||2011-07-30|
|6||18.16||John Arthur Faulkner (Info)||University of Michigan, Ann Arbor||Molecular & Integrative Physiology||2015-06-24|
|7||18.19||Howard Rasmussen (Info)||Medical College of Georgia||parathyroid hormone, vitamin D, calcitonin and aldosterone action||2013-05-13|
|8||19.47||Asrar B. Malik (Info)||University of Illinois at Chicago||2016-04-13|
|9||19.77||Jeffery William Walker (Info)||University of Arizona||control of cardiac myocyte function||2012-05-03|
|10||21.45||Maria Konstantoulaki (Info)||University of Illinois at Chicago, Health Sciences Center||Pharmacology||2016-04-18|
|11||21.45||David H. Jho (Info)||University of Illinois at Chicago, Health Sciences Center||Pharmacology, Molecular Biology, General||2016-04-18|
|12||21.45||Irene K. Klein (Info)||University of Illinois at Chicago, Health Sciences Center||Pharmacology, Cell Biology, Molecular Biology||2016-04-18|
|13||25.09||William Olaf Hancock (Info)||Pennsylvania State University||Bioengineering, Biophysics, Cell Biology||2019-04-20|
|14||23748||Joseph Meites (Info)||Michigan State University||Physiology||2009-05-07|
|15||32059.8||Charles Wesley Turner (Info)||University of Missouri-Columbia||endocrinology and lactation||2009-05-07|
Distribution of individual connectivity.
Another way to look at the Physiology Academic Tree graph is to plot a histogram of researchers (nodes) based according to the number of immediate connections (edges) they have to other researchers. The final bin includes nodes with 16 or more connections. The actual distribution has a very long tail, with a maximum of 45 connections. Thanks to Adam Snyder for suggesting this analysis!
Edge vs node distribution|
|Number of connections|