Paul W. Fenimore

4.7k citations
42 papers · 3.5k indexed · 2 hit papers · h-index 20
Topics
Protein Structure and Dynamics (16 papers)Hemoglobin structure and function (7 papers)Spectroscopy and Quantum Chemical Studies (6 papers)

In The Last Decade

Paul W. Fenimore

42 papers receiving 3.4k citations

Hit Papers

A unified model of protein dynamics200220262010201820092002200400600

Peers

Paul W. Fenimore
Comparison fields: 5 of 145
  • Molecular Biology 1.7k
  • Atomic and Molecular Physics, and Optics 967
  • Materials Chemistry 832
  • Modeling and Simulation 712
  • Cell Biology 498
Replace Dominique Bicout with:
Dominique Bicout France
Benjamin H. McMahon United States
Philip Anfinrud United States
Måns Ehrenberg Sweden
Frederick W. Dahlquist United States
Rony Granek Israel
Rommie E. Amaro United States
Andrey G. Cherstvy Germany
Tom Chou United States
Gideon Schreiber Israel
Paul W. Fenimore relative to Dominique Bicout France Dominique Bicout's profile →
Citations per field
00.5×4.4×
Dominique Bicout · 1×
Citations per year

Countries citing papers authored by Paul W. Fenimore

Since Specialization
Citations

This map shows the geographic impact of Paul W. Fenimore'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 Paul W. Fenimore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul W. Fenimore more than expected).

Fields of papers citing papers by Paul W. Fenimore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul W. Fenimore. 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 Paul W. Fenimore. The network helps show where Paul W. Fenimore may publish in the future.

Co-authorship network of co-authors of Paul W. Fenimore

This figure shows the co-authorship network connecting the top 25 collaborators of Paul W. Fenimore. A scholar is included among the top collaborators of Paul W. Fenimore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul W. Fenimore. Paul W. Fenimore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 3
4 11
5 12
6 7
7 7
8 5
9 1
10 4
11 19
12 22
13 24
14 24
15 4
16 60
17 226
18 357
19 114
20
Effects of magnetic fields on mosquitoes.
3

About Paul W. Fenimore

Paul W. Fenimore is a scholar working on Modeling and Simulation, Spectroscopy and Cell Biology, having authored 42 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Hemoglobin structure and function (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). The work is most often cited by research in Modeling and Simulation (712 citations), Atomic and Molecular Physics, and Optics (967 citations) and Cell Biology (498 citations). Paul W. Fenimore has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Hans Frauenfelder, Benjamin H. McMahon, Robert Young, Carlos Castillo‐Chávez, Gerardo Chowell, F. Parak, James M. Hyman, Nicolas Hengartner, Jan Swenson and Izabela Stroe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

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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