Koji Uetsuka
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
- Developmental Neuroscience top 5%
Papers in
- Hepatology 14
- Liver physiology and pathology 10
- Co-authors
- Kunio DoiHiroyuki NakayamaJunko ShinozukaKeiichi KatayamaAkira YasoshimaSatomi NishikawaHirofumi YamauchiKatsumi Doi
- Journals
- Experimental and Toxicologic Pathology (14 papers)EXPERIMENTAL ANIMALS (10 papers)Veterinary Pathology (8 papers)Toxicologic Pathology (4 papers)Acta Neuropathologica (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Koji Uetsuka
111 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Immunology 472
- Developmental Neuroscience 90
- Hepatology 124
- Cancer Research 219
- Physiology 337
Countries citing papers authored by Koji Uetsuka
This map shows the geographic impact of Koji Uetsuka'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 Koji Uetsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Uetsuka more than expected).
Fields of papers citing papers by Koji Uetsuka
This network shows the impact of papers produced by Koji Uetsuka. 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 Koji Uetsuka. The network helps show where Koji Uetsuka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koji Uetsuka, 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 | 2020 | 11 | |
| 2 | 2012 | 7 | |
| 3 | 2008 | 10 | |
| 4 | 2007 | 9 | |
| 5 | 2006 | 2 | |
| 6 | 2005 | 11 | |
| 7 | 2005 | 6 | |
| 8 | GM2-gangliosidosis variant 0 (Sandhoff-like disease) in a family of Japanese domestic cats. | 2004 | 19 |
| 9 | 2004 | 16 | |
| 10 | 2002 | 27 | |
| 11 | 2002 | 2 | |
| 12 | 1999 | 19 | |
| 13 | 1999 | 4 | |
| 14 | 1999 | 10 | |
| 15 | 1998 | 9 | |
| 16 | "A-15 Sequence of T-2 toxin- induced apoptosis in the lymphoid organs of mice | 1996 | 2 |
| 17 | 1995 | 6 | |
| 18 | 1993 | 18 | |
| 19 | 1993 | 7 | |
| 20 | 1992 | 12 |
About Koji Uetsuka
Koji Uetsuka is a scholar working on Hepatology, Developmental Neuroscience, Immunology, Epidemiology and Immunology and Allergy, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (10 papers), Mycotoxins in Agriculture and Food (8 papers), Glycosylation and Glycoproteins Research (7 papers), Cancer-related Molecular Pathways (6 papers), Folate and B Vitamins Research (6 papers), Pregnancy and preeclampsia studies (5 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Immunology (472 citations), Developmental Neuroscience (90 citations), Hepatology (124 citations), Cancer Research (219 citations) and Physiology (337 citations). Koji Uetsuka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kunio Doi, Hiroyuki Nakayama, Junko Shinozuka, Keiichi Katayama, Akira Yasoshima, Satomi Nishikawa, Hirofumi Yamauchi, Hiroyuki Nakayama, Katsumi Doi and Kazuyuki Uchida. Their work appears in journals such as Experimental and Toxicologic Pathology, EXPERIMENTAL ANIMALS, Veterinary Pathology, Toxicologic Pathology and Acta Neuropathologica.
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.