Hiromi Abe
- Epidemiology top 1%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Kazuo ChiharaKazuaki ChayamaHidesuke KajiYasuhiko OkimuraHidenori OchiC. Nelson HayesMasataka TsugeMichio Imamura
- Topics
- Hepatitis C virus research (51 papers)Growth Hormone and Insulin-like Growth Factors (39 papers)Hepatitis B Virus Studies (36 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hiromi Abe
168 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 113
- Epidemiology 2.2k
- Hepatology 1.8k
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 997
Countries citing papers authored by Hiromi Abe
This map shows the geographic impact of Hiromi 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 Hiromi Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromi Abe more than expected).
Fields of papers citing papers by Hiromi Abe
This network shows the impact of papers produced by Hiromi 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 Hiromi Abe. The network helps show where Hiromi Abe may publish in the future.
Co-authorship network of co-authors of Hiromi Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Abe. A scholar is included among the top collaborators of Hiromi Abe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiromi Abe. Hiromi Abe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 61 | |
| 7 | 75 | |
| 8 | 28 | |
| 9 | 96 | |
| 10 | 118 | |
| 11 | Parents' Response to their Sick Child and the Current Status of Sick-Child-Care Support Needs | 2 |
| 12 | 43 | |
| 13 | 26 | |
| 14 | 43 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 25 |
About Hiromi Abe
Hiromi Abe is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 170 papers that have together received 6.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (51 papers), Growth Hormone and Insulin-like Growth Factors (39 papers) and Hepatitis B Virus Studies (36 papers). The work is most often cited by research in Hepatology (1.8k citations), Endocrine and Autonomic Systems (661 citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Hiromi Abe has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kazuo Chihara, Kazuaki Chayama, Hidesuke Kaji, Yasuhiko Okimura, Hidenori Ochi, C. Nelson Hayes, Masataka Tsuge, Michio Imamura, Nobuhiko Hiraga and Yutaka Takahashi. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.