J. Chris Culberson

23 papers receiving 879 citations

Peers

J. Chris Culberson
Comparison fields: 5 of 94
  • Computational Theory and Mathematics 315
  • Virology 69
  • Endocrine and Autonomic Systems 38
  • Spectroscopy 102
  • Physical and Theoretical Chemistry 55
Replace Scott D. Bembenek with:
Scott D. Bembenek United States
Alexander Heifetz United Kingdom
Kathleen Cox United States
Atsuo Kuki United States
Osman Güner United States
Valère Lounnas Germany
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J. Chris Culberson relative to Scott D. Bembenek United States Scott D. Bembenek's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Chris Culberson

Since Specialization
Citations

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

Fields of papers citing papers by J. Chris Culberson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Chris Culberson, 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 J. Chris Culberson Line = papers co-authored together J. Chris Culberson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007327
2 199480
3 198778
4 200564
5 199454
6 198449
7 200245
8 199442
9 198540
10 198519
11 200917
12 202216
13 201616
14 199413
15 199810
16 20178
17 19928
18 20065
19 19944
20 19854

About J. Chris Culberson

J. Chris Culberson is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Organic Chemistry, Computational Theory and Mathematics and Spectroscopy, having authored 23 papers that have together received 908 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (7 papers), Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers), Neuroendocrine regulation and behavior (3 papers), HIV/AIDS drug development and treatment (3 papers), Atomic and Molecular Physics (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (315 citations), Virology (69 citations), Endocrine and Autonomic Systems (38 citations), Spectroscopy (102 citations) and Physical and Theoretical Chemistry (55 citations). J. Chris Culberson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert P. Sheridan, William L. Luken, Georgia B. McGaughey, Constantine Kreatsoulas, Vladimir N. Maiorov, Stacey R. Lindsley, Jean‐François Truchon, Wendy D. Cornell, Christopher I. Bayly and Michael C. Zerner. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Theoretical Chemistry Accounts, The Journal of Chemical Physics and Biochemistry.

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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