Ichiro Abe
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
Papers in
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- Pituitary Gland Disorders and Treatments 8
- Thyroid Cancer Diagnosis and Treatment 6
- Diabetes Treatment and Management 4
- Adrenal Hormones and Disorders 3
- Surgery 7
- Adrenal and Paraganglionic Tumors 7
- Co-authors
- Alfred King-yin Lam (9 shared papers)Farhadul Islam (4 shared papers)Kunihisa Kobayashi (17 shared papers)Ryoichi Takayanagi (8 shared papers)Masatoshi Nomura (7 shared papers)Hisaya Kawate (5 shared papers)Kaoru Sugimoto (8 shared papers)Keizo Ohnaka (5 shared papers)
- Journals
- Medicine (4 papers)Drug Discoveries & Therapeutics (2 papers)Frontiers in Endocrinology (2 papers)Journal of Biological Chemistry (1 paper)Cancers (1 paper)
- Partner nations
- JapanAustraliaBangladesh
In The Last Decade
Ichiro Abe
37 papers receiving 345 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 158
- Developmental Neuroscience 9
- Cancer Research 28
- Gastroenterology 10
- Surgery 58
Countries citing papers authored by Ichiro Abe
This map shows the geographic impact of Ichiro 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 Ichiro Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ichiro Abe more than expected).
Fields of papers citing papers by Ichiro Abe
This network shows the impact of papers produced by Ichiro 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 Ichiro Abe. The network helps show where Ichiro Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Ichiro 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 40 | |
| 2 | 2021 | 39 | |
| 3 | 2011 | 22 | |
| 4 | 2018 | 21 | |
| 5 | 2019 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2011 | 15 | |
| 10 | 2012 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2012 | 7 | |
| 20 | 2015 | 6 |
About Ichiro Abe
Ichiro Abe is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Health Informatics, Molecular Biology and Developmental Neuroscience, having authored 39 papers that have together received 360 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Adrenal and Paraganglionic Tumors (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Diabetes Treatment and Management (4 papers), Adrenal Hormones and Disorders (3 papers), RNA Research and Splicing (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (158 citations), Developmental Neuroscience (9 citations), Cancer Research (28 citations), Gastroenterology (10 citations) and Surgery (58 citations). Ichiro Abe has collaborated with scholars based in Japan, Australia and Bangladesh. Frequent co-authors include Alfred King-yin Lam, Farhadul Islam, Kunihisa Kobayashi, Ryoichi Takayanagi, Masatoshi Nomura, Hisaya Kawate, Kaoru Sugimoto, Keizo Ohnaka, Masahiro Adachi and Yayoi Matsuda. Their work appears in journals such as Medicine, Drug Discoveries & Therapeutics, Frontiers in Endocrinology, Journal of Biological Chemistry and Cancers.
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.