Jin Gohda
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- interferon and immune responses
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
-
- NF-κB Signaling Pathways 24
- Immunology 25
- interferon and immune responses 13
- Immune Response and Inflammation 13
- T-cell and Retrovirus Studies 4
- Co-authors
- Jun‐ichiro InoueTaishin AkiyamaKentaro SembaTakayuki MatsumuraHiroshi TakayanagiTakako KogaHiroyasu NakanoMizuki Yamamoto
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Genes to Cells (3 papers)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jin Gohda
48 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 114
- Immunology 966
- Cancer Research 673
- Infectious Diseases 315
- Molecular Biology 1.2k
- Oncology 388
Countries citing papers authored by Jin Gohda
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 9 | |
| 3 | 2018 | 26 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 17 | |
| 6 | 2015 | 12 | |
| 7 | 2012 | 5 | |
| 8 | 2010 | 101 | |
| 9 | 2009 | 21 | |
| 10 | 2009 | 35 | |
| 11 | 2008 | 38 | |
| 12 | 2007 | 201 | |
| 13 | 2007 | 21 | |
| 14 | 2005 | 192 | |
| 15 | 2004 | 17 | |
| 16 | 2003 | 41 | |
| 17 | 2003 | 19 | |
| 18 | 2003 | 14 | |
| 19 | 2003 | 78 | |
| 20 | 2001 | 19 |
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.