Shigeru Hatakeyama
- Molecular Biology top 10%
- Genetics top 2%
- Immunology top 5%
- Surgery top 5%
- Epidemiology top 10%
- Co-authors
- Isao OkayasuRintaro NAKAYAYoshio InagakiToshifumi� OhkusaMasahiro YamadaKatsuiku HirokawaMasahito YamadaHiroshi Tsukagoshi
- Topics
- Sperm and Testicular Function (5 papers)Parathyroid Disorders and Treatments (4 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers)
- Cited by
- ImmunologyGastroenterologyGenetics
In The Last Decade
Shigeru Hatakeyama
40 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 917
- Genetics 781
- Immunology 733
- Surgery 599
- Epidemiology 331
Countries citing papers authored by Shigeru Hatakeyama
This map shows the geographic impact of Shigeru Hatakeyama'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 Shigeru Hatakeyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Hatakeyama more than expected).
Fields of papers citing papers by Shigeru Hatakeyama
This network shows the impact of papers produced by Shigeru Hatakeyama. 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 Shigeru Hatakeyama. The network helps show where Shigeru Hatakeyama may publish in the future.
Co-authorship network of co-authors of Shigeru Hatakeyama
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Hatakeyama. A scholar is included among the top collaborators of Shigeru Hatakeyama 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 Shigeru Hatakeyama. Shigeru Hatakeyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 0 | |
| 5 | A novel method in the induction of reliable experimental acute and chronic ulcerative colitis in micebreakdown → | 2039 |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | Morphometrical analysis of autopsy hearts of congestive cardiomyopathy. | 2 |
| 15 | 47 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 28 |
About Shigeru Hatakeyama
Shigeru Hatakeyama is a scholar working on Reproductive Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Parathyroid Disorders and Treatments (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). The work is most often cited by research in Immunology (733 citations), Gastroenterology (174 citations) and Genetics (781 citations). Shigeru Hatakeyama has collaborated with scholars based in Japan, Canada and Pakistan. Frequent co-authors include Isao Okayasu, Rintaro NAKAYA, Yoshio Inagaki, Toshifumi� Ohkusa, Masahiro Yamada, Katsuiku Hirokawa, Masahito Yamada, Hiroshi Tsukagoshi, Kazuto Sato and Touichiro Takizawa. Their work appears in journals such as Gastroenterology, The Journal of Pathology and Cell and Tissue Research.
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.