Hideki Nakano
- Immunology top 0.2%
- Oncology top 1%
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Co-authors
- Michael D. GunnTerutaka KakiuchiDonald N. CookManabu YanagitaAkio MatsuzawaGregory S. WhiteheadKaifeng LinMartin Lipp
- Topics
- Immunotherapy and Immune Responses (47 papers)T-cell and B-cell Immunology (38 papers)Immune Cell Function and Interaction (24 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hideki Nakano
206 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 5.4k
- Oncology 1.9k
- Molecular Biology 1.3k
- Physiology 1.1k
- Epidemiology 697
Countries citing papers authored by Hideki Nakano
This map shows the geographic impact of Hideki Nakano'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 Hideki Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Nakano more than expected).
Fields of papers citing papers by Hideki Nakano
This network shows the impact of papers produced by Hideki Nakano. 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 Hideki Nakano. The network helps show where Hideki Nakano may publish in the future.
Co-authorship network of co-authors of Hideki Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Nakano. A scholar is included among the top collaborators of Hideki Nakano 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 Hideki Nakano. Hideki Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 43 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 79 | |
| 6 | 58 | |
| 7 | 52 | |
| 8 | 51 | |
| 9 | 28 | |
| 10 | 59 | |
| 11 | 174 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | Electromagnetic Sealing for Helical Heater Terminal Used in Combination Microwave Oven | 1 |
| 15 | Transmission Characteristics of CPW Bends for Various Curvatures (Special Issue on Measurement Techniques for Microwave/Millimeter Wave) | 1 |
| 16 | Influence on the transmission characteristics of a slot made on the ground conductor of microstrip line | 1 |
| 17 | 1 | |
| 18 | [Evaluation of branched chain fatty acid, BMIPP [beta-methyl-omega-(p-iodophenyl)-pentadecanoic acid] for myocardial imaging--basic experiments]. | 1 |
| 19 | Intrauterine Treatment of Nonimmunologic Hydrops Fetalis | 1 |
| 20 | A CASE OF REYE-LIKE SYNDROME WITH DICARBOXYLIC ACIDURIA | 1 |
About Hideki Nakano
Hideki Nakano is a scholar working on Immunology, Immunology and Allergy and Obstetrics and Gynecology, having authored 222 papers that have together received 8.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (47 papers), T-cell and B-cell Immunology (38 papers) and Immune Cell Function and Interaction (24 papers). The work is most often cited by research in Immunology (5.4k citations), Immunology and Allergy (674 citations) and Oncology (1.9k citations). Hideki Nakano has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Michael D. Gunn, Terutaka Kakiuchi, Donald N. Cook, Manabu Yanagita, Akio Matsuzawa, Gregory S. Whitehead, Kaifeng Lin, Martin Lipp, Lewis T. Williams and Carmen Tam‐Amersdorfer. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature 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.