Naoki Nishimoto
- Rheumatology top 0.5%
- Oncology top 2%
- Immunology top 2%
- Hematology top 1%
- Molecular Biology
- Co-authors
- Kazuyuki YoshizakiTadamitsu KishimotoTsutomu TakeuchiShinichi KawaiN. MiyasakaKazuhiko YamamotoJunko FujiharaTadashi Matsuda
- Topics
- Semiconductor Quantum Structures and Devices (9 papers)ZnO doping and properties (9 papers)Rheumatoid Arthritis Research and Therapies (7 papers)
- Cited by
- RheumatologyHematologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naoki Nishimoto
86 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Rheumatology 1.3k
- Oncology 1.3k
- Immunology 1.0k
- Hematology 776
- Molecular Biology 680
Countries citing papers authored by Naoki Nishimoto
This map shows the geographic impact of Naoki Nishimoto'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 Naoki Nishimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Nishimoto more than expected).
Fields of papers citing papers by Naoki Nishimoto
This network shows the impact of papers produced by Naoki Nishimoto. 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 Naoki Nishimoto. The network helps show where Naoki Nishimoto may publish in the future.
Co-authorship network of co-authors of Naoki Nishimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Nishimoto. A scholar is included among the top collaborators of Naoki Nishimoto 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 Naoki Nishimoto. Naoki Nishimoto 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 | 22 | |
| 3 | 3 | |
| 4 | 52 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 56 | |
| 13 | 100 | |
| 14 | Efficacy and safety of tocilizumab in 48-week treatment in children with systemic juvenile idiopathic arthritis | 1 |
| 15 | Low-Temperature MBE Growth of a TlGaAs/GaAs Multiple Quantum-Well Structure | 1 |
| 16 | 3 | |
| 17 | 165 | |
| 18 | [New molecular prognostic markers in gastric carcinoma]. | 1 |
| 19 | 90 | |
| 20 | 44 |
About Naoki Nishimoto
Naoki Nishimoto is a scholar working on Hematology, Health Informatics and Developmental Neuroscience, having authored 91 papers that have together received 4.1k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (9 papers), ZnO doping and properties (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). The work is most often cited by research in Rheumatology (1.3k citations), Hematology (776 citations) and Immunology (1.0k citations). Naoki Nishimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuyuki Yoshizaki, Tadamitsu Kishimoto, Tsutomu Takeuchi, Shinichi Kawai, N. Miyasaka, Kazuhiko Yamamoto, Junko Fujihara, Tadashi Matsuda, Takahiro Komori and Hiromi Tagoh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.