Shiro Ikegawa
- Molecular Biology top 1%
- Rheumatology top 0.1%
- Genetics top 0.2%
- Surgery top 1%
- Cancer Research top 1%
- Co-authors
- Ikuyo KouGen NishimuraYoshinari MiyamotoAkihiko MabuchiMasahiro NakajimaAtsushi TakahashiKozo NakamuraToshihiro Tanaka
- Topics
- Connective tissue disorders research (80 papers)Osteoarthritis Treatment and Mechanisms (73 papers)Bone Metabolism and Diseases (30 papers)
- Cited by
- RheumatologyGeneticsCancer Research
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shiro Ikegawa
300 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 5.3k
- Rheumatology 3.5k
- Genetics 3.3k
- Surgery 2.1k
- Cancer Research 1.6k
Countries citing papers authored by Shiro Ikegawa
This map shows the geographic impact of Shiro Ikegawa'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 Shiro Ikegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiro Ikegawa more than expected).
Fields of papers citing papers by Shiro Ikegawa
This network shows the impact of papers produced by Shiro Ikegawa. 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 Shiro Ikegawa. The network helps show where Shiro Ikegawa may publish in the future.
Co-authorship network of co-authors of Shiro Ikegawa
This figure shows the co-authorship network connecting the top 25 collaborators of Shiro Ikegawa. A scholar is included among the top collaborators of Shiro Ikegawa 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 Shiro Ikegawa. Shiro Ikegawa 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 | 5 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 82 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 31 | |
| 14 | 56 | |
| 15 | 106 | |
| 16 | [Progress of research in osteoarthritis. Recent advance in the study of susceptibility genes for osteoarthritis]. | 2 |
| 17 | 91 | |
| 18 | 45 | |
| 19 | [Asporin, a susceptibility gene for osteoarthritis]. | 5 |
| 20 | Metachondromatosis: a report of two cases in a family. | 3 |
About Shiro Ikegawa
Shiro Ikegawa is a scholar working on Rheumatology, Genetics and Immunology and Allergy, having authored 306 papers that have together received 11.8k indexed citations. Recurring topics across this work include Connective tissue disorders research (80 papers), Osteoarthritis Treatment and Mechanisms (73 papers) and Bone Metabolism and Diseases (30 papers). The work is most often cited by research in Rheumatology (3.5k citations), Genetics (3.3k citations) and Cancer Research (1.6k citations). Shiro Ikegawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Ikuyo Kou, Gen Nishimura, Yoshinari Miyamoto, Akihiko Mabuchi, Masahiro Nakajima, Atsushi Takahashi, Kozo Nakamura, Toshihiro Tanaka, Kouichi Ozaki and Dongquan Shi. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National 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.