Jun Abe
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Porphyrin Metabolism and Disorders 4
- Pharmacology 11
- Pharmacogenetics and Drug Metabolism 10
- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Hirohisa Saito (1 shared paper)Déborah Braun (1 shared paper)Guy Delespesse (1 shared paper)Marika Sarfati (1 shared paper)Manuel Rubio (1 shared paper)Virginie Doyen (1 shared paper)Satoshi Kawamura (5 shared papers)Yoshitaka Tomigahara (6 shared papers)
- Journals
- Toxicology and Applied Pharmacology (5 papers)Journal of Agricultural and Food Chemistry (4 papers)Regulatory Toxicology and Pharmacology (2 papers)Xenobiotica (2 papers)The Journal of Comparative Neurology (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Abe
29 papers receiving 505 citations
Peers
Comparison fields: 5 of 87
- Pharmacology 45
- Endocrine and Autonomic Systems 29
- Immunology 90
- Health, Toxicology and Mutagenesis 60
- Reproductive Medicine 33
Countries citing papers authored by Jun Abe
This map shows the geographic impact of Jun Abe'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 Jun Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Abe more than expected).
Fields of papers citing papers by Jun Abe
This network shows the impact of papers produced by Jun Abe. 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 Jun Abe. The network helps show where Jun Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Abe, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 166 | |
| 2 | 2009 | 73 | |
| 3 | 2006 | 28 | |
| 4 | 2006 | 28 | |
| 5 | 2015 | 20 | |
| 6 | 1987 | 20 | |
| 7 | 1988 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2006 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 1987 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2009 | 7 | |
| 20 | 2022 | 6 |
About Jun Abe
Jun Abe is a scholar working on Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health, Oncology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 517 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (7 papers), Neonatal Health and Biochemistry (4 papers), Porphyrin Metabolism and Disorders (4 papers), Pesticide Exposure and Toxicity (4 papers), Neuropeptides and Animal Physiology (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Pharmacology (45 citations), Endocrine and Autonomic Systems (29 citations), Immunology (90 citations), Health, Toxicology and Mutagenesis (60 citations) and Reproductive Medicine (33 citations). Jun Abe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirohisa Saito, Déborah Braun, Guy Delespesse, Marika Sarfati, Manuel Rubio, Virginie Doyen, Satoshi Kawamura, Yoshitaka Tomigahara, Tomoyuki Shirai and Satoru Takahashi. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Agricultural and Food Chemistry, Regulatory Toxicology and Pharmacology, Xenobiotica and The Journal of Comparative Neurology.
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.