Kamonwan Fish

1.1k total citations · 1 hit paper
9 papers, 873 citations indexed

About

Kamonwan Fish is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Kamonwan Fish has authored 9 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 4 papers in Immunology. Recurrent topics in Kamonwan Fish's work include Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immune Cell Function and Interaction (3 papers). Kamonwan Fish is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immune Cell Function and Interaction (3 papers). Kamonwan Fish collaborates with scholars based in United States and Germany. Kamonwan Fish's co-authors include Ju Qiu, Xiaohuan Guo, Yang‐Xin Fu, Zongming E. Chen, Liang Zhou, Richard Longnecker, Jia Chen, Samantha Schaller, Osman Çen and Leo I. Gordon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Immunity.

In The Last Decade

Kamonwan Fish

8 papers receiving 869 citations

Hit Papers

The Aryl Hydrocarbon Receptor Regulates Gut Immunity thro... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamonwan Fish United States 7 484 271 215 151 108 9 873
Cédric Vonarbourg Germany 8 1.3k 2.7× 361 1.3× 602 2.8× 114 0.8× 69 0.6× 11 1.7k
Doumet Georges Helou United States 19 537 1.1× 181 0.7× 235 1.1× 70 0.5× 28 0.3× 30 855
Jerilyn K. Gray United States 14 260 0.5× 278 1.0× 100 0.5× 80 0.5× 33 0.3× 22 628
Mario Witkowski Germany 7 200 0.4× 240 0.9× 98 0.5× 87 0.6× 18 0.2× 12 547
Pedram Shafiei-Jahani United States 19 642 1.3× 160 0.6× 286 1.3× 71 0.5× 25 0.2× 33 948
Susan J. Tudhope United Kingdom 15 225 0.5× 308 1.1× 168 0.8× 108 0.7× 33 0.3× 19 885
Thiago A. Patente Brazil 13 369 0.8× 270 1.0× 64 0.3× 126 0.8× 16 0.1× 26 754
Ashok Kumar Kumawat Sweden 12 156 0.3× 190 0.7× 82 0.4× 92 0.6× 48 0.4× 33 716
Caroline Tizian Germany 6 223 0.5× 168 0.6× 107 0.5× 71 0.5× 15 0.1× 10 422
Ashley Gilmour United Kingdom 7 309 0.6× 339 1.3× 45 0.2× 81 0.5× 50 0.5× 7 716

Countries citing papers authored by Kamonwan Fish

Since Specialization
Citations

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

Fields of papers citing papers by Kamonwan Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamonwan Fish

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

All Works

9 of 9 papers shown
1.
Stone, Jennifer D., Kamonwan Fish, Devika Ashok, et al.. (2025). ABBV-303 Is an NK-cell Engager Specific for c-Met–Expressing Tumors. Cancer Research. 86(3). 746–758.
2.
Stone, Jennifer D., Kamonwan Fish, Devika Ashok, et al.. (2024). Abstract ND01: ABBV-303: A novel NK and CD8 T cell engager specific for c-Met-expressing tumors. Cancer Research. 84(7_Supplement). ND01–ND01. 1 indexed citations
3.
Fish, Kamonwan, Federico Comoglio, Arthur L. Shaffer, et al.. (2020). Rewiring of B cell receptor signaling by Epstein–Barr virus LMP2A. Proceedings of the National Academy of Sciences. 117(42). 26318–26327. 49 indexed citations
4.
Torchia, Maria Letizia Giardino, Debjani Dutta, Paul R. Mittelstadt, et al.. (2018). Intensity and duration of TCR signaling is limited by p38 phosphorylation of ZAP-70 T293 and destabilization of the signalosome. Proceedings of the National Academy of Sciences. 115(9). 2174–2179. 21 indexed citations
5.
Fish, Kamonwan, et al.. (2017). EBV latent membrane protein 2A orchestrates p27kip1 degradation via Cks1 to accelerate MYC-driven lymphoma in mice. Blood. 130(23). 2516–2526. 22 indexed citations
6.
Fish, Kamonwan, Jia Chen, & Richard Longnecker. (2013). Epstein-Barr virus latent membrane protein 2A enhances MYC-driven cell cycle progression in a mouse model of B lymphoma. Blood. 123(4). 530–540. 43 indexed citations
8.
Qiu, Ju, Xiaohuan Guo, Zongming E. Chen, et al.. (2011). The Aryl Hydrocarbon Receptor Regulates Gut Immunity through Modulation of Innate Lymphoid Cells. Immunity. 36(1). 92–104. 696 indexed citations breakdown →
9.
Bieging, Kathryn T., Kamonwan Fish, Subbarao Bondada, & Richard Longnecker. (2011). A shared gene expression signature in mouse models of EBV-associated and non–EBV-associated Burkitt lymphoma. Blood. 118(26). 6849–6859. 12 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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