Jin Gohda

3.1k citations
48 papers · 2.4k indexed · h-index 24

Impact in

  • Immunology top 2%
    • Immune Response and Inflammation
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • NF-κB Signaling Pathways 24
    • interferon and immune responses 13
    • Immune Response and Inflammation 13
    • T-cell and Retrovirus Studies 4

Jin Gohda

48 papers receiving 2.4k citations

Peers

Jin Gohda
Comparison fields: 5 of 114
  • Immunology 966
  • Cancer Research 673
  • Infectious Diseases 315
  • Molecular Biology 1.2k
  • Oncology 388
Replace Motti Gerlic with:
Motti Gerlic Israel
Huazhang An China
Hyung‐Joo Kwon South Korea
Sebo Withoff Netherlands
David Moquin United States
Luciana Berod Germany
Pin‐Yu Perera United States
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Thomas C. Mitchell United States
Antoine Attinger Switzerland
Jin Gohda relative to Motti Gerlic Israel Motti Gerlic's profile →
Citations per field
00.5×1.5×
Motti Gerlic · 1×
Citations per year

Countries citing papers authored by Jin Gohda

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20229
3 201826
4 201735
5 201517
6 201512
7 20125
8 2010101
9 200921
10 200935
11 200838
12 2007201
13 200721
14 2005192
15 200417
16 200341
17 200319
18 200314
19 200378
20 200119

About Jin Gohda

Jin Gohda is a scholar working on Cancer Research, Immunology, Infectious Diseases, Virology and Molecular Biology, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (24 papers), interferon and immune responses (13 papers), Immune Response and Inflammation (13 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Cell death mechanisms and regulation (6 papers), Bone Metabolism and Diseases (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Immunology (966 citations), Cancer Research (673 citations), Infectious Diseases (315 citations), Molecular Biology (1.2k citations) and Oncology (388 citations). Jin Gohda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jun‐ichiro Inoue, Taishin Akiyama, Kentaro Semba, Takayuki Matsumura, Hiroshi Takayanagi, Takako Koga, Hiroyasu Nakano, Mizuki Yamamoto, T. Akiyama and Sakae Tanaka. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, PLoS ONE, Genes to Cells and Nature Communications.

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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2026