Brian J. Bennion

3.1k citations
30 papers · 2.5k indexed · 1 hit paper · h-index 17
Topics
Protein Structure and Dynamics (13 papers)Computational Drug Discovery Methods (11 papers)Enzyme Structure and Function (8 papers)

In The Last Decade

Brian J. Bennion

30 papers receiving 2.5k citations

Hit Papers

The molecular basis for the chemical denaturation of prot...20032026201020182003200400600

Peers

Brian J. Bennion
Comparison fields: 5 of 135
  • Molecular Biology 1.5k
  • Materials Chemistry 679
  • Atomic and Molecular Physics, and Optics 374
  • Spectroscopy 289
  • Cell Biology 228
Replace Nathan Schmid with:
Nathan Schmid Switzerland
Andreas P. Eichenberger Switzerland
Alpeshkumar K. Malde Australia
Martin Stroet Australia
António M. Baptista Portugal
Moritz Winger Australia
David Poger Australia
Xibing He United States
E. Prabhu Raman United States
Jarosław Poznański Poland
Brian J. Bennion relative to Nathan Schmid Switzerland Nathan Schmid's profile →
Citations per field
00.5×1.5×2.3×
Nathan Schmid · 1×
Citations per year

Countries citing papers authored by Brian J. Bennion

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Bennion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Bennion. 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 Brian J. Bennion. The network helps show where Brian J. Bennion may publish in the future.

Co-authorship network of co-authors of Brian J. Bennion

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Bennion. A scholar is included among the top collaborators of Brian J. Bennion 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 Brian J. Bennion. Brian J. Bennion 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 4
2 4
3 11
4 3
5 3
6 4
7 12
8 22
9 46
10 1
11 31
12 16
13 49
14 9
15 2
16 6
17 32
18 22
19 298
20 393

About Brian J. Bennion

Brian J. Bennion is a scholar working on Structural Biology, Computational Theory and Mathematics and Pharmacology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (11 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Filtration and Separation (52 citations), Molecular Biology (1.5k citations) and Fluid Flow and Transfer Processes (111 citations). Brian J. Bennion has collaborated with scholars based in United States, Czechia and Australia. Frequent co-authors include Valerie Daggett, Kenneth P. Murphy, Qin Zou, Sihyun Ham, Ryan Day, Felice C. Lightstone, Darwin O. V. Alonso, Bin Li, Carlos A. Valdez and Nicholas A. Be. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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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