Fred M. Snell

560 citations
35 papers · 454 · h-index 13

Impact in

Papers in

Fred M. Snell

34 papers receiving 380 citations

Peers

Fred M. Snell
Comparison fields: 5 of 105
  • Statistical and Nonlinear Physics 58
  • Atmospheric Science 74
  • Global and Planetary Change 80
  • Filtration and Separation 7
  • Cellular and Molecular Neuroscience 59
Replace John G. Atwood with:
John G. Atwood United States
Karl W. Kratky Austria
John Shepanski United States
J Gérardy Belgium
Robert A. Harte United States
P. J. McNulty United States
Bruce L. Clarke Canada
Satoshi Yasuda Japan
H Cook United States
F. Heinmets United States
Fred M. Snell relative to John G. Atwood United States John G. Atwood's profile →
Citations per field
00.5×4.5×
John G. Atwood · 1×
Citations per year

Countries citing papers authored by Fred M. Snell

Since Specialization
Citations

This map shows the geographic impact of Fred M. Snell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fred M. Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred M. Snell more than expected).

Fields of papers citing papers by Fred M. Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred M. Snell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fred M. Snell. The network helps show where Fred M. Snell may publish in the future.

Co-authors

The 13 scholars most cited alongside Fred M. Snell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fred M. Snell Line = papers co-authored together Fred M. Snell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196150
2 197436
3
Biophysical principles of structure and function
196533
4 195728
5 196526
6 196723
7 196522
8 196721
9 197619
10 196719
11 196018
12 197418
13 196017
14 196011
15 197711
16 196011
17 196710
18 196810
19 197510
20 19659

About Fred M. Snell

Fred M. Snell is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Electrochemistry, Atomic and Molecular Physics, and Optics and Global and Planetary Change, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (7 papers), Electrochemical Analysis and Applications (6 papers), Lipid Membrane Structure and Behavior (5 papers), Atmospheric aerosols and clouds (3 papers), Atmospheric Ozone and Climate (3 papers), Neuroscience and Neural Engineering (3 papers), Analytical Chemistry and Sensors (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (58 citations), Atmospheric Science (74 citations), Global and Planetary Change (80 citations), Filtration and Separation (7 citations) and Cellular and Molecular Neuroscience (59 citations). Fred M. Snell has collaborated with scholars based in United States. Frequent co-authors include Robert A. Spangler, Bryan C. Weare, Cavin P. Leeman, Oleg Jardetzky, Paul S. Lee, O. Ross McIntyre, John R. Menninger, Barry Stein, H. Olin Spivey and Geoffrey Iverson. Their work appears in journals such as Journal of the Atmospheric Sciences, Journal of Theoretical Biology, The Journal of Physical Chemistry, The Journal of Chemical Physics and Biophysical Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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