Nobuyuki Harada
- Immunology top 0.5%
- Oncology top 2%
- Infectious Diseases top 1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Co-authors
- Atsushi MiyajimaKiyoshi TakatsuHiroshi WakaoAlice MuiKazue HiguchiToshio KitamuraToru MoriA Tominaga
- Topics
- Tuberculosis Research and Epidemiology (41 papers)Immune Cell Function and Interaction (26 papers)Mycobacterium research and diagnosis (25 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Nobuyuki Harada
130 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Immunology 3.2k
- Oncology 1.6k
- Infectious Diseases 1.4k
- Epidemiology 1.3k
- Molecular Biology 1.2k
Countries citing papers authored by Nobuyuki Harada
This map shows the geographic impact of Nobuyuki Harada'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 Nobuyuki Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyuki Harada more than expected).
Fields of papers citing papers by Nobuyuki Harada
This network shows the impact of papers produced by Nobuyuki Harada. 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 Nobuyuki Harada. The network helps show where Nobuyuki Harada may publish in the future.
Co-authorship network of co-authors of Nobuyuki Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuyuki Harada. A scholar is included among the top collaborators of Nobuyuki Harada 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 Nobuyuki Harada. Nobuyuki Harada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | 30 | |
| 8 | 5 | |
| 9 | 84 | |
| 10 | 107 | |
| 11 | Specific Detection of Tuberculosis Infectionbreakdown → | 527 |
| 12 | Lipase-catalyzed kinetic resolution of cyclobutylmethanols and determination of absolute stereochemistry by X-ray analysis | 6 |
| 13 | 3 | |
| 14 | 65 | |
| 15 | 5 | |
| 16 | 58 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | Purified interleukin 5 supports the terminal differentiation and proliferation of murine eosinophilic precursors.breakdown → | 452 |
About Nobuyuki Harada
Nobuyuki Harada is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 132 papers that have together received 6.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (41 papers), Immune Cell Function and Interaction (26 papers) and Mycobacterium research and diagnosis (25 papers). The work is most often cited by research in Immunology (3.2k citations), Infectious Diseases (1.4k citations) and Oncology (1.6k citations). Nobuyuki Harada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Atsushi Miyajima, Kiyoshi Takatsu, Hiroshi Wakao, Alice Mui, Kazue Higuchi, Toshio Kitamura, Toru Mori, A Tominaga, Ken‐ichi Arai and Takashi Yokota. Their work appears in journals such as Nature, Science 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.