Kanji Seiki
- Pathology and Forensic Medicine top 10%
- Genetics top 10%
- Immunology
- Pharmacology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Kou SakabeMasahiko OkumaJoji MochidaKazuhiro NishimuraYasuo HarukiAkira YamashitaMasahiko KotaniMasakazu Hattori
- Topics
- Estrogen and related hormone effects (24 papers)Stress Responses and Cortisol (7 papers)Hypothalamic control of reproductive hormones (6 papers)
- Journals
- CirculationBloodEndocrinology
- Partner nations
- JapanUnited States
In The Last Decade
Kanji Seiki
59 papers receiving 804 citations
Peers
Comparison fields: 5 of 85
- Pathology and Forensic Medicine 212
- Genetics 203
- Immunology 186
- Pharmacology 132
- Endocrinology, Diabetes and Metabolism 121
Countries citing papers authored by Kanji Seiki
This map shows the geographic impact of Kanji Seiki'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 Kanji Seiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanji Seiki more than expected).
Fields of papers citing papers by Kanji Seiki
This network shows the impact of papers produced by Kanji Seiki. 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 Kanji Seiki. The network helps show where Kanji Seiki may publish in the future.
Co-authorship network of co-authors of Kanji Seiki
This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Seiki. A scholar is included among the top collaborators of Kanji Seiki 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 Kanji Seiki. Kanji Seiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | ESTABLISHMENT OF 'CROSSTALK' BETWEEN THE THYMUS AND BRAIN AT AN EARLY STAGE OF FETAL LIFE IN THE RAT | 7 |
| 4 | 15 | |
| 5 | 36 | |
| 6 | 34 | |
| 7 | Hormone and immune response, with special reference to steroid hormone. 2. Sex steroid receptors in rat thymus. | 1 |
| 8 | Hormone and immune response, with special reference to steroid hormone. 3. Sex steroid effect on T-cell differentiation. | 8 |
| 9 | Hormonal events surrounding spontaneous onset of puberty in female rats. | 1 |
| 10 | Estrogen receptor in the "non-lymphocytes" in the thymus of the ovariectomized rat. | 7 |
| 11 | Progestin receptors in testes from various animal species. | 5 |
| 12 | Progestin binding in testes from chickens and rats. | 1 |
| 13 | Estrogen receptor in rat thymus cytosol. | 3 |
| 14 | 1 | |
| 15 | 27 | |
| 16 | THE METABOLISM OF INJECTED 3 H-TESTOSTERONE IN THORACIC DUCT LYMPH OF MALE RATS | 1 |
| 17 | 9 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 7 |
About Kanji Seiki
Kanji Seiki is a scholar working on Behavioral Neuroscience, Genetics and Reproductive Medicine, having authored 61 papers that have together received 859 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Stress Responses and Cortisol (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Behavioral Neuroscience (61 citations), Pathology and Forensic Medicine (212 citations) and Reproductive Medicine (85 citations). Kanji Seiki has collaborated with scholars based in Japan and United States. Frequent co-authors include Kou Sakabe, Masahiko Okuma, Joji Mochida, Kazuhiro Nishimura, Yasuo Haruki, Akira Yamashita, Masahiko Kotani, Masakazu Hattori, Akira Akatsuka and Tomoo Enomoto. Their work appears in journals such as Circulation, Blood and Endocrinology.
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.