Tsutomu Matsubara
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 13
- Hepatology top 2%
- Liver physiology and pathology 10
- Biochemistry top 1%
- Hematology top 2%
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 4
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- Drug Transport and Resistance Mechanisms 14
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- Liver Disease Diagnosis and Treatment 12
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- Peroxisome Proliferator-Activated Receptors 9
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- Adipose Tissue and Metabolism 7
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- Hormonal Regulation and Hypertension 4
- Co-authors
- Frank J. GonzalezYatrik M. ShahKristopher W. KrauszFei LiNaoki TanakaAijuan QuAndrew D. PattersonKiyoshi Nagata
- Cited by
- PharmacologyHepatologyBiochemistry
- Journals
- Journal of Biological Chemistry (5 papers)Nature Medicine (1 paper)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tsutomu Matsubara
69 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Pharmacology 605
- Hepatology 348
- Biochemistry 295
- Hematology 432
- Cancer Research 539
Countries citing papers authored by Tsutomu Matsubara
This map shows the geographic impact of Tsutomu Matsubara'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 Tsutomu Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Matsubara more than expected).
Fields of papers citing papers by Tsutomu Matsubara
This network shows the impact of papers produced by Tsutomu Matsubara. 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 Tsutomu Matsubara. The network helps show where Tsutomu Matsubara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Matsubara, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 9 | |
| 11 | 2015 | 10 | |
| 12 | 2015 | 113 | |
| 13 | 2014 | 76 | |
| 14 | 2012 | 30 | |
| 15 | 2012 | 19 | |
| 16 | 2011 | 31 | |
| 17 | 2011 | 152 | |
| 18 | 2010 | 216 | |
| 19 | 2008 | 50 | |
| 20 | 1963 | 1 |
About Tsutomu Matsubara
Tsutomu Matsubara is a scholar working on Pharmacology, Hepatology and Biochemistry, having authored 71 papers that have together received 3.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacogenetics and Drug Metabolism (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Liver physiology and pathology (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Adipose Tissue and Metabolism (7 papers), Hormonal Regulation and Hypertension (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Pharmacology (605 citations), Hepatology (348 citations) and Biochemistry (295 citations). Tsutomu Matsubara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Frank J. Gonzalez, Yatrik M. Shah, Kristopher W. Krausz, Fei Li, Naoki Tanaka, Aijuan Qu, Andrew D. Patterson, Kiyoshi Nagata, Shinji Ito and Yasushi Yamazoe. Their work appears in journals such as Journal of Biological Chemistry, 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.