Taisuke Uchida
Impact in
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- Stress Responses and Cortisol
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Surgery 9
- Cholesterol and Lipid Metabolism 7
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- Steroid Chemistry and Biochemistry 5
- Co-authors
- Atsuo Fukuda (1 shared paper)Satomi Iwata (1 shared paper)Yojiro Yanagawa (1 shared paper)T Furukawa (1 shared paper)Masahiro Kikuchi (2 shared papers)Junji Suzumiya (2 shared papers)N. Kimura (2 shared papers)Mitsuo Kozuru (2 shared papers)
- Journals
- Blood (2 papers)European Journal of Dermatology (2 papers)Arthritis & Rheumatology (2 papers)British Journal of Clinical Pharmacology (2 papers)Journal of the Physical Society of Japan (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Taisuke Uchida
33 papers receiving 442 citations
Peers
Comparison fields: 5 of 84
- Behavioral Neuroscience 25
- Pathology and Forensic Medicine 101
- Biological Psychiatry 14
- Drug Discovery 1
- Immunology 89
Countries citing papers authored by Taisuke Uchida
This map shows the geographic impact of Taisuke Uchida'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 Taisuke Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taisuke Uchida more than expected).
Fields of papers citing papers by Taisuke Uchida
This network shows the impact of papers produced by Taisuke Uchida. 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 Taisuke Uchida. The network helps show where Taisuke Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Taisuke Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 95 | |
| 2 | 2014 | 63 | |
| 3 | 2020 | 30 | |
| 4 | 2019 | 26 | |
| 5 | 2010 | 26 | |
| 6 | 2021 | 25 | |
| 7 | 2004 | 22 | |
| 8 | 1997 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 1997 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 1992 | 9 | |
| 15 | 1994 | 8 | |
| 16 | 1994 | 8 | |
| 17 | 1998 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 6 |
About Taisuke Uchida
Taisuke Uchida is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Pharmacology, having authored 37 papers that have together received 458 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Steroid Chemistry and Biochemistry (5 papers), Immune Cell Function and Interaction (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Behavioral Neuroscience (25 citations), Pathology and Forensic Medicine (101 citations), Biological Psychiatry (14 citations), Drug Discovery (1 citation) and Immunology (89 citations). Taisuke Uchida has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Atsuo Fukuda, Satomi Iwata, Yojiro Yanagawa, T Furukawa, Masahiro Kikuchi, Junji Suzumiya, N. Kimura, Mitsuo Kozuru, Morishige Takeshita and Yuko Nomura. Their work appears in journals such as Blood, European Journal of Dermatology, Arthritis & Rheumatology, British Journal of Clinical Pharmacology and Journal of the Physical Society of Japan.
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.