Yuma Tega
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Nicotinic Acetylcholine Receptors Study 2
- Epigenetics and DNA Methylation 2
- Oncology 10
- Drug Transport and Resistance Mechanisms 9
- Co-authors
- Yoshiyuki Kubo (11 shared papers)Shin‐ichi Akanuma (13 shared papers)Ken‐ichi Hosoya (13 shared papers)Yoshiharu Deguchi (9 shared papers)Toshiki Kurosawa (9 shared papers)Kei Higuchi (5 shared papers)Tetsuya Terasaki (2 shared papers)Kenji Kawabata (3 shared papers)
- Journals
- Drug Metabolism and Pharmacokinetics (4 papers)Biological and Pharmaceutical Bulletin (3 papers)Journal of Pharmaceutical Sciences (3 papers)Pharmaceutical Research (3 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Yuma Tega
19 papers receiving 326 citations
Peers
Comparison fields: 5 of 68
- Neurology 62
- Biochemistry 41
- Oncology 117
- Clinical Biochemistry 24
- Biological Psychiatry 8
Countries citing papers authored by Yuma Tega
This map shows the geographic impact of Yuma Tega'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 Yuma Tega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuma Tega more than expected).
Fields of papers citing papers by Yuma Tega
This network shows the impact of papers produced by Yuma Tega. 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 Yuma Tega. The network helps show where Yuma Tega may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuma Tega, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 44 | |
| 2 | 2018 | 43 | |
| 3 | 2012 | 42 | |
| 4 | 2018 | 33 | |
| 5 | 2022 | 28 | |
| 6 | 2018 | 24 | |
| 7 | 2015 | 22 | |
| 8 | 2014 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Yuma Tega
Yuma Tega is a scholar working on Molecular Biology, Oncology, Biochemistry, Cell Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 328 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Amino Acid Enzymes and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Metabolism and Genetic Disorders (3 papers), Barrier Structure and Function Studies (3 papers), Synthesis and Biological Evaluation (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Neurology (62 citations), Biochemistry (41 citations), Oncology (117 citations), Clinical Biochemistry (24 citations) and Biological Psychiatry (8 citations). Yuma Tega has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Yoshiyuki Kubo, Shin‐ichi Akanuma, Ken‐ichi Hosoya, Yoshiharu Deguchi, Toshiki Kurosawa, Kei Higuchi, Tetsuya Terasaki, Kenji Kawabata, Hiroyuki Kusuhara and Tatsuki Mochizuki. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Biological and Pharmaceutical Bulletin, Journal of Pharmaceutical Sciences, Pharmaceutical Research and Drug Metabolism and Disposition.
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.