Seiichiro Nishimura
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Breast Cancer Treatment Studies 18
- Cancer Genomics and Diagnostics 6
-
- Breast Lesions and Carcinomas 14
- Co-authors
- Hiroshi TakeshimaShosaku NumaHisayuki MatsuoHiroyuki IshidaKenji KangawaTakeshi MatsumotoMasamichi UedaTadaaki Hirose
- Journals
- Breast Cancer (9 papers)FEBS Letters (6 papers)World Journal of Surgical Oncology (3 papers)Japanese Journal of Clinical Oncology (2 papers)Hypertension Research (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Seiichiro Nishimura
55 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Physiology 283
- Sensory Systems 186
- Cellular and Molecular Neuroscience 548
- Cardiology and Cardiovascular Medicine 569
- Molecular Biology 1.4k
Countries citing papers authored by Seiichiro Nishimura
This map shows the geographic impact of Seiichiro 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 Seiichiro Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichiro Nishimura more than expected).
Fields of papers citing papers by Seiichiro Nishimura
This network shows the impact of papers produced by Seiichiro 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 Seiichiro Nishimura. The network helps show where Seiichiro Nishimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seiichiro 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2013 | 40 | |
| 10 | 2010 | 5 | |
| 11 | 2007 | 0 | |
| 12 | 2006 | 25 | |
| 13 | 2005 | 0 | |
| 14 | 2005 | 0 | |
| 15 | 2004 | 20 | |
| 16 | 2003 | 1 | |
| 17 | 2003 | 2 | |
| 18 | 2002 | 2 | |
| 19 | 1992 | 94 | |
| 20 | 1989 | 107 |
About Seiichiro Nishimura
Seiichiro Nishimura is a scholar working on Cancer Research, Pathology and Forensic Medicine, Physiology, Oncology and Dermatology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (14 papers), Ion channel regulation and function (13 papers), BRCA gene mutations in cancer (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cancer Genomics and Diagnostics (6 papers), Cancer and Skin Lesions (6 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Physiology (283 citations), Sensory Systems (186 citations), Cellular and Molecular Neuroscience (548 citations), Cardiology and Cardiovascular Medicine (569 citations) and Molecular Biology (1.4k citations). Seiichiro Nishimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroshi Takeshima, Shosaku Numa, Hisayuki Matsuo, Hiroyuki Ishida, Kenji Kangawa, Takeshi Matsumoto, Masamichi Ueda, Tadaaki Hirose, Naoto Minamino and Masao Hanaoka. Their work appears in journals such as Breast Cancer, FEBS Letters, World Journal of Surgical Oncology, Japanese Journal of Clinical Oncology and Hypertension Research.
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.