Jun‐ichi Nishimura
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Immunology top 2%
- Complement system in diseases
Papers in
- Immunology 76
- Complement system in diseases 73
- Hematology 48
- Blood groups and transfusion 38
- Platelet Disorders and Treatments 13
- Co-authors
- Taroh Kinoshita (20 shared papers)Fukuko Kimura (7 shared papers)Wendell F. Rosse (5 shared papers)Teruo Kitani (8 shared papers)Yuzuru Kanakura (29 shared papers)Yutaka Endo (2 shared papers)Toshio Miyata (2 shared papers)Norimitsu Inoue (11 shared papers)
- Journals
- Blood (34 papers)International Journal of Hematology (5 papers)European Journal Of Haematology (5 papers)British Journal of Haematology (3 papers)HemaSphere (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun‐ichi Nishimura
95 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Nephrology 509
- Immunology 1.0k
- Hematology 465
- Physiology 172
- Behavioral Neuroscience 125
Countries citing papers authored by Jun‐ichi Nishimura
This map shows the geographic impact of Jun‐ichi Nishimura'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 Jun‐ichi Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Nishimura more than expected).
Fields of papers citing papers by Jun‐ichi Nishimura
This network shows the impact of papers produced by Jun‐ichi Nishimura. 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 Jun‐ichi Nishimura. The network helps show where Jun‐ichi Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ichi Nishimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 193 | |
| 2 | 2004 | 186 | |
| 3 | 2003 | 93 | |
| 4 | 2006 | 91 | |
| 5 | 1996 | 57 | |
| 6 | 1997 | 57 | |
| 7 | 1994 | 53 | |
| 8 | 1990 | 49 | |
| 9 | 2002 | 49 | |
| 10 | 1999 | 45 | |
| 11 | 1998 | 45 | |
| 12 | 2017 | 40 | |
| 13 | 2022 | 39 | |
| 14 | 1992 | 37 | |
| 15 | 2003 | 35 | |
| 16 | 2008 | 32 | |
| 17 | 1999 | 31 | |
| 18 | 2002 | 31 | |
| 19 | 1997 | 30 | |
| 20 | 1993 | 27 |
About Jun‐ichi Nishimura
Jun‐ichi Nishimura is a scholar working on Immunology, Hematology, Genetics, Nephrology and Epidemiology, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complement system in diseases (73 papers), Blood groups and transfusion (38 papers), Renal Diseases and Glomerulopathies (29 papers), Hemoglobinopathies and Related Disorders (15 papers), Platelet Disorders and Treatments (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers), Trypanosoma species research and implications (10 papers) and Adenosine and Purinergic Signaling (9 papers). The work is most often cited by research in Nephrology (509 citations), Immunology (1.0k citations), Hematology (465 citations), Physiology (172 citations) and Behavioral Neuroscience (125 citations). Jun‐ichi Nishimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Taroh Kinoshita, Fukuko Kimura, Wendell F. Rosse, Teruo Kitani, Yuzuru Kanakura, Yutaka Endo, Toshio Miyata, Norimitsu Inoue, Norio Yamada and Yoshiyasu Iida. Their work appears in journals such as Blood, International Journal of Hematology, European Journal Of Haematology, British Journal of Haematology and HemaSphere.
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.