Yutaka Kohgo
- Hematology top 0.5%
- Iron Metabolism and Disorders 32
- Hepatology top 1%
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 20
- Cancer Research top 2%
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 13
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- Liver Disease Diagnosis and Treatment 29
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- Trace Elements in Health 19
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- Alcohol Consumption and Health Effects 13
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- Peroxisome Proliferator-Activated Receptors 12
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- Immune Cell Function and Interaction 11
- Co-authors
- Toshikatsu OkumuraTakaaki OhtakeKatsuya IkutaWataru MotomuraJunji KatoNobuhiko TakahashiYusuke MizukamiYoshihiro Torimoto
- Cited by
- HematologyHepatologyGenetics
- Journals
- Journal of Clinical Investigation (1 paper)Nature Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yutaka Kohgo
235 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 141
- Hematology 1.2k
- Hepatology 647
- Genetics 725
- Cancer Research 1.0k
- Oncology 1.4k
Countries citing papers authored by Yutaka Kohgo
This map shows the geographic impact of Yutaka Kohgo'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 Yutaka Kohgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Kohgo more than expected).
Fields of papers citing papers by Yutaka Kohgo
This network shows the impact of papers produced by Yutaka Kohgo. 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 Yutaka Kohgo. The network helps show where Yutaka Kohgo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yutaka Kohgo, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 3 | |
| 4 | 2019 | 9 | |
| 5 | 2016 | 10 | |
| 6 | Amiodarone-induced agranulocytosis | 2015 | 1 |
| 7 | Multitargeted treatment of experimental colitis by daikenchuto, a traditional Japanese herbal medicine | 2013 | 1 |
| 8 | 2012 | 32 | |
| 9 | 2011 | 11 | |
| 10 | 2011 | 7 | |
| 11 | 2007 | 69 | |
| 12 | 2002 | 38 | |
| 13 | 2001 | 6 | |
| 14 | Centrifugal Leukocytapheresis for Ulcerative Colitis | 2000 | 1 |
| 15 | 1999 | 29 | |
| 16 | 1998 | 9 | |
| 17 | 1998 | 46 | |
| 18 | 1993 | 1 | |
| 19 | 1991 | 3 | |
| 20 | 1991 | 14 |
About Yutaka Kohgo
Yutaka Kohgo is a scholar working on Hematology, Genetics and Hepatology, having authored 243 papers that have together received 7.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (32 papers), Liver Disease Diagnosis and Treatment (29 papers), Hemoglobinopathies and Related Disorders (20 papers), Trace Elements in Health (19 papers), Pancreatic and Hepatic Oncology Research (13 papers), Alcohol Consumption and Health Effects (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Hematology (1.2k citations), Hepatology (647 citations) and Genetics (725 citations). Yutaka Kohgo has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toshikatsu Okumura, Takaaki Ohtake, Katsuya Ikuta, Wataru Motomura, Junji Kato, Nobuhiko Takahashi, Yusuke Mizukami, Yoshihiro Torimoto, Satoshi Tanno and Yoshinori Fujimoto. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine 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.