James W. Bowman

1.4k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

James W. Bowman is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, James W. Bowman has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in James W. Bowman's work include Autophagy in Disease and Therapy (2 papers), Mosquito-borne diseases and control (2 papers) and Inflammasome and immune disorders (2 papers). James W. Bowman is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Mosquito-borne diseases and control (2 papers) and Inflammasome and immune disorders (2 papers). James W. Bowman collaborates with scholars based in United States, South Korea and Japan. James W. Bowman's co-authors include Jae U. Jung, Younho Choi, Qiming Liang, Mary A. Rodgers, Mude Shi, Hiroaki Fujita, Jenny P.‐Y. Ting, Kazuhiro Iwaï, Nicole I. Orazio and Thomas J. Kelly and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

James W. Bowman

8 papers receiving 1.0k citations

Hit Papers

Autophagy during viral infection — a double-edged sword 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James W. Bowman United States 7 429 429 289 260 240 8 1.0k
Pierre-Emmanuel Joubert France 12 311 0.7× 468 1.1× 279 1.0× 295 1.1× 133 0.6× 19 904
Vanessa Sancho‐Shimizu United Kingdom 16 434 1.0× 570 1.3× 568 2.0× 98 0.4× 201 0.8× 29 1.3k
Cristina Lourdes Vázquez Argentina 11 263 0.6× 489 1.1× 197 0.7× 152 0.6× 123 0.5× 25 901
Christina Dinkins United States 9 444 1.0× 952 2.2× 393 1.4× 264 1.0× 167 0.7× 9 1.4k
Thornik Reimer United States 11 532 1.2× 203 0.5× 668 2.3× 224 0.9× 132 0.6× 12 1.2k
Sangeeta Tiwari United States 17 455 1.1× 434 1.0× 525 1.8× 69 0.3× 367 1.5× 43 1.4k
Angela C. Collins United States 7 362 0.8× 440 1.0× 368 1.3× 89 0.3× 341 1.4× 15 918
Balaji Ramanathan United States 10 450 1.0× 439 1.0× 552 1.9× 129 0.5× 101 0.4× 22 1.2k
Haralabia Boleti Greece 15 518 1.2× 249 0.6× 139 0.5× 112 0.4× 218 0.9× 29 1.1k
Kayoko Tsuda Japan 9 463 1.1× 756 1.8× 259 0.9× 331 1.3× 84 0.3× 11 1.3k

Countries citing papers authored by James W. Bowman

Since Specialization
Citations

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

Fields of papers citing papers by James W. Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James W. Bowman

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

All Works

8 of 8 papers shown
1.
Adolf‐Bryfogle, Jared, James W. Bowman, Sebástien Vérel, et al.. (2024). Complete combinatorial mutational enumeration of a protein functional site enables sequence‐landscape mapping and identifies highly‐mutated variants that retain activity. Protein Science. 33(8). e5109–e5109. 1 indexed citations
2.
Kim, Stephanie, Jianning Ge, Do-Kyun Kim, et al.. (2024). TXNIP-mediated crosstalk between oxidative stress and glucose metabolism. PLoS ONE. 19(2). e0292655–e0292655. 13 indexed citations
3.
Garrido, José Luis Velasco, Mario Calvo, James W. Bowman, et al.. (2022). IgG targeting distinct seasonal coronavirus- conserved SARS-CoV-2 spike subdomains correlates with differential COVID-19 disease outcomes. Cell Reports. 39(9). 110904–110904. 7 indexed citations
4.
Choi, Younho, James W. Bowman, & Jae U. Jung. (2018). Autophagy during viral infection — a double-edged sword. Nature Reviews Microbiology. 16(6). 341–354. 599 indexed citations breakdown →
5.
Kwak, Mi‐Jeong, J. Dongun Kim, Hyunmin Kim, et al.. (2017). Architecture of the type IV coupling protein complex of Legionella pneumophila. Nature Microbiology. 2(9). 17114–17114. 55 indexed citations
6.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2017). Asian Zika virus strains target CD14+ blood monocytes and induce M2-skewed immunosuppression during pregnancy. Nature Microbiology. 2(11). 1558–1570. 114 indexed citations
7.
Rodgers, Mary A., James W. Bowman, Hiroaki Fujita, et al.. (2014). The linear ubiquitin assembly complex (LUBAC) is essential for NLRP3 inflammasome activation. The Journal of Experimental Medicine. 211(7). 1333–1347. 201 indexed citations
8.
Rodgers, Mary A., James W. Bowman, Qiming Liang, & Jae U. Jung. (2013). Regulation Where Autophagy Intersects the Inflammasome. Antioxidants and Redox Signaling. 20(3). 495–506. 58 indexed citations

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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