Shoichi Katayama
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Neurology top 10%
- Co-authors
- Akira MiyauchiKanji KumaFumio MatsuzukaMasahiro SugawaraHiroshi IkedaIsamu NarabayashiKennichi KakudoSunao Matsubayashi
- Topics
- Thyroid Cancer Diagnosis and Treatment (13 papers)Ovarian cancer diagnosis and treatment (5 papers)Head and Neck Anomalies (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismCancerAnnals of the New York Academy of Sciences
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Shoichi Katayama
33 papers receiving 997 citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 550
- Surgery 331
- Pathology and Forensic Medicine 208
- Molecular Biology 168
- Neurology 148
Countries citing papers authored by Shoichi Katayama
This map shows the geographic impact of Shoichi Katayama'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 Shoichi Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoichi Katayama more than expected).
Fields of papers citing papers by Shoichi Katayama
This network shows the impact of papers produced by Shoichi Katayama. 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 Shoichi Katayama. The network helps show where Shoichi Katayama may publish in the future.
Co-authorship network of co-authors of Shoichi Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Shoichi Katayama. A scholar is included among the top collaborators of Shoichi Katayama 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 Shoichi Katayama. Shoichi Katayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Primary carcinoid tumor of the kidney: a case report]. | 0 |
| 2 | 43 | |
| 3 | 21 | |
| 4 | 52 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 185 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 13 | |
| 14 | 15 | |
| 15 | 59 | |
| 16 | 159 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Reduction of tumorigenicity and of dihydrodiol formation by fluorine substitution in the angular rings of dibenzo(a,i)pyrene. | 32 |
| 20 | 38 |
About Shoichi Katayama
Shoichi Katayama is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Ovarian cancer diagnosis and treatment (5 papers) and Head and Neck Anomalies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (550 citations), Pathology and Forensic Medicine (208 citations) and Neurology (148 citations). Shoichi Katayama has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akira Miyauchi, Kanji Kuma, Fumio Matsuzuka, Masahiro Sugawara, Hiroshi Ikeda, Isamu Narabayashi, Kennichi Kakudo, Sunao Matsubayashi, Akira Kobayashi and Hajime Tamai. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Annals of the New York Academy of Sciences.
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.