Jim Barnett

30 total papers · 2.4k total citations
25 papers, 1.9k citations indexed

About

Jim Barnett is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jim Barnett has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Jim Barnett's work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Estrogen and related hormone effects (3 papers). Jim Barnett is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Estrogen and related hormone effects (3 papers). Jim Barnett collaborates with scholars based in United States, Poland and Switzerland. Jim Barnett's co-authors include Joan M. Chow, C S Ramesha, Michelle F. Browner, Christine Luong, Aaron B. Miller, Hardy Chan, Elliott Sigal, Stan Tsing, Hartmut Kühn and David C. Swinney and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jim Barnett

25 papers receiving 1.8k citations

Hit Papers

Flexibility of the NSAID ... 1996 2026 2006 2016 1996 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jim Barnett 767 722 357 343 281 25 1.9k
Thorsten J. Maier 659 0.9× 520 0.7× 280 0.8× 241 0.7× 163 0.6× 43 1.9k
J M Trzaskos 518 0.7× 917 1.3× 274 0.8× 247 0.7× 208 0.7× 26 1.8k
Wanda Cromlish 722 0.9× 926 1.3× 332 0.9× 391 1.1× 220 0.8× 34 2.1k
Frederick A. Kuehl 528 0.7× 639 0.9× 152 0.4× 275 0.8× 223 0.8× 40 1.9k
Michelle F. Browner 635 0.8× 1.6k 2.3× 303 0.8× 646 1.9× 271 1.0× 41 3.2k
James Otto 925 1.2× 1.6k 2.3× 457 1.3× 176 0.5× 278 1.0× 45 3.1k
Christine Brideau 1.2k 1.6× 706 1.0× 385 1.1× 1.1k 3.1× 249 0.9× 52 2.6k
F.A. Fitzpatrick 514 0.7× 1.2k 1.7× 178 0.5× 145 0.4× 445 1.6× 34 2.4k
Toshihiro Tanioka 1.3k 1.7× 840 1.2× 612 1.7× 93 0.3× 370 1.3× 26 2.4k
Antonio Rossi 481 0.6× 1.7k 2.3× 150 0.4× 125 0.4× 217 0.8× 33 2.5k

Countries citing papers authored by Jim Barnett

Since Specialization
Citations

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

Fields of papers citing papers by Jim Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Barnett. 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 Jim Barnett. The network helps show where Jim Barnett may publish in the future.

Co-authorship network of co-authors of Jim Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Barnett. A scholar is included among the top collaborators of Jim Barnett 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 Jim Barnett. Jim Barnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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