Koji Nagayama
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Rheumatology top 10%
- Molecular Biology
- Surgery
- Co-authors
- Hirotoshi NakamuraShigekazu SasakiAkio MatsushitaHiroko MisawaKennichi KakudoYumiko KashiwabaraHiroyuki IwakiZhiyan Liu
- Topics
- Inflammatory Bowel Disease (2 papers)Estrogen and related hormone effects (2 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsMolecular EndocrinologyJournal of Endocrinology
- Partner nations
- Japan
In The Last Decade
Koji Nagayama
13 papers receiving 265 citations
Peers
Comparison fields: 5 of 45
- Endocrinology, Diabetes and Metabolism 112
- Epidemiology 99
- Rheumatology 86
- Molecular Biology 82
- Surgery 73
Countries citing papers authored by Koji Nagayama
This map shows the geographic impact of Koji Nagayama'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 Koji Nagayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Nagayama more than expected).
Fields of papers citing papers by Koji Nagayama
This network shows the impact of papers produced by Koji Nagayama. 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 Koji Nagayama. The network helps show where Koji Nagayama may publish in the future.
Co-authorship network of co-authors of Koji Nagayama
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Nagayama. A scholar is included among the top collaborators of Koji Nagayama 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 Koji Nagayama. Koji Nagayama 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 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Twenty-Seven Patients with Hypoglycemic Coma Requiring Hospitalization during Oral Hypoglycemic Treatment | 1 |
| 6 | 39 | |
| 7 | 100 | |
| 8 | 23 | |
| 9 | 12 | |
| 10 | 43 | |
| 11 | 42 | |
| 12 | [Pharmacokinetics and clinical effects of cefixime in pediatrics]. | 2 |
| 13 | [Cardiac myxoma--light, electron microscopic and immunocytochemical assessment of histogenesis]. | 1 |
| 14 | 1 |
About Koji Nagayama
Koji Nagayama is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Medicine and Genetics, having authored 14 papers that have together received 273 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (2 papers), Estrogen and related hormone effects (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Rheumatology (86 citations) and Epidemiology (99 citations). Koji Nagayama has collaborated with scholars based in Japan. Frequent co-authors include Hirotoshi Nakamura, Shigekazu Sasaki, Akio Matsushita, Hiroko Misawa, Kennichi Kakudo, Yumiko Kashiwabara, Hiroyuki Iwaki, Zhiyan Liu, Yaqiong Li and Ichiro Mori. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Endocrinology and Journal of 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.