Yoshihiro Fujimura
- Hematology top 0.1%
- Immunology top 0.5%
- Nephrology top 0.2%
- Genetics top 1%
- Genetics top 0.5%
- Co-authors
- Masanori MatsumotoKoiti TitaniTaei MatsuiHideo YagiAkira YoshiokaToshiyuki MiyataHiromichi IshizashiKoichi Kokame
- Topics
- Complement system in diseases (148 papers)Platelet Disorders and Treatments (122 papers)Renal Diseases and Glomerulopathies (60 papers)
- Cited by
- HematologyNephrologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Yoshihiro Fujimura
238 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 120
- Hematology 4.4k
- Immunology 4.1k
- Nephrology 1.8k
- Genetics 1.6k
- Genetics 1.5k
Countries citing papers authored by Yoshihiro Fujimura
This map shows the geographic impact of Yoshihiro Fujimura'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 Yoshihiro Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Fujimura more than expected).
Fields of papers citing papers by Yoshihiro Fujimura
This network shows the impact of papers produced by Yoshihiro Fujimura. 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 Yoshihiro Fujimura. The network helps show where Yoshihiro Fujimura may publish in the future.
Co-authorship network of co-authors of Yoshihiro Fujimura
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiro Fujimura. A scholar is included among the top collaborators of Yoshihiro Fujimura 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 Yoshihiro Fujimura. Yoshihiro Fujimura 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 | 15 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | [Diagnostic criteria of atypical hemolytic uremic syndrome]. | 3 |
| 8 | 24 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 60 | |
| 12 | 1 | |
| 13 | 70 | |
| 14 | 157 | |
| 15 | 62 | |
| 16 | 88 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | Studies on Factor 8 Procoagulant Activity(8:C):Its Purification and Some Biochemical Properties | 0 |
About Yoshihiro Fujimura
Yoshihiro Fujimura is a scholar working on Hematology, Nephrology and Immunology, having authored 249 papers that have together received 8.1k indexed citations. Recurring topics across this work include Complement system in diseases (148 papers), Platelet Disorders and Treatments (122 papers) and Renal Diseases and Glomerulopathies (60 papers). The work is most often cited by research in Hematology (4.4k citations), Nephrology (1.8k citations) and Immunology (4.1k citations). Yoshihiro Fujimura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masanori Matsumoto, Koiti Titani, Taei Matsui, Hideo Yagi, Akira Yoshioka, Toshiyuki Miyata, Hiromichi Ishizashi, Koichi Kokame, Ayami Isonishi and T S Zimmerman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.