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


16 17 18 19+
Mean distance
 Number of nodes 

20 most tightly coupled nodes.
Below are the Physiology Academic Tree nodes with shortest mean distance.

Rank Mean dist Name Institution Area Date
1 15.98 Andrew S. Greene (Info) The Jackson Laboratory 2012-05-03
2 16.19 George A. Kimmich (Info) University of Rochester 2009-09-03
3 18.16 John Arthur Faulkner (Info) University of Michigan, Ann Arbor Molecular & Integrative Physiology 2015-06-24
4 18.19 Howard Rasmussen (Info) Medical College of Georgia parathyroid hormone, vitamin D, calcitonin and aldosterone action 2013-05-13
5 19.77 Jeffery William Walker (Info) University of Arizona control of cardiac myocyte function 2012-05-03
6 25.09 William Olaf Hancock (Info) Pennsylvania State University Bioengineering, Biophysics, Cell Biology 2019-04-20
7 23748 Joseph Meites (Info) Michigan State University Physiology 2009-05-07
8 32059.8 Charles Wesley Turner (Info) University of Missouri 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 43 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution


1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+
Number of connections
 Node count