Hiroyuki Nishimura
- Immunology top 0.1%
- Oncology top 0.2%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 0.5%
- Co-authors
- Tasuku HonjoNagahiro MinatoHiroshi HiaiTaku OkazakiMasato NoseYoshiko IwaiLaura CarterBeatriz M. Carreno
- Topics
- T-cell and B-cell Immunology (42 papers)Monoclonal and Polyclonal Antibodies Research (29 papers)Immune Cell Function and Interaction (22 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiroyuki Nishimura
310 papers receiving 16.7k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Immunology 7.8k
- Oncology 6.4k
- Molecular Biology 3.6k
- Pulmonary and Respiratory Medicine 1.1k
- Genetics 1.1k
Countries citing papers authored by Hiroyuki Nishimura
This map shows the geographic impact of Hiroyuki 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 Hiroyuki Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Nishimura more than expected).
Fields of papers citing papers by Hiroyuki Nishimura
This network shows the impact of papers produced by Hiroyuki 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 Hiroyuki Nishimura. The network helps show where Hiroyuki Nishimura may publish in the future.
Co-authorship network of co-authors of Hiroyuki Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Nishimura. A scholar is included among the top collaborators of Hiroyuki Nishimura 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 Hiroyuki Nishimura. Hiroyuki Nishimura 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 | 2 | |
| 4 | 0 | |
| 5 | 91 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | Administration of CD34+ cells after stroke enhances neurogenesis via angiogenesisin a mouse modelbreakdown → | 566 |
| 11 | 93 | |
| 12 | 267 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | Measurement of the Excitation Function of N^+_2 First Negative Bands by Electron Impact | 1 |
About Hiroyuki Nishimura
Hiroyuki Nishimura is a scholar working on Immunology, Metals and Alloys and Radiology, Nuclear Medicine and Imaging, having authored 327 papers that have together received 17.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (42 papers), Monoclonal and Polyclonal Antibodies Research (29 papers) and Immune Cell Function and Interaction (22 papers). The work is most often cited by research in Immunology (7.8k citations), Oncology (6.4k citations) and Developmental Neuroscience (467 citations). Hiroyuki Nishimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tasuku Honjo, Nagahiro Minato, Hiroshi Hiai, Taku Okazaki, Masato Nose, Yoshiko Iwai, Laura Carter, Beatriz M. Carreno, Mary Collins and Heidi F. Horton. Their work appears in journals such as Science, Cell 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.