Kōichi Nakamura
- Surgery top 2%
- Pharmacology top 0.1%
- Oncology top 2%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Co-authors
- G. WilkinsonJorge GoldsteinJoyce BlaisdellUrs MeyerSara MoráisHiroyuki KatoTetsuro FukaseTaro Iizumi
- Topics
- Pharmacogenetics and Drug Metabolism (15 papers)Orthopedic Surgery and Rehabilitation (15 papers)Antibiotics Pharmacokinetics and Efficacy (12 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kōichi Nakamura
211 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Surgery 1.6k
- Pharmacology 1.3k
- Oncology 1.1k
- Molecular Biology 944
- Biomedical Engineering 695
Countries citing papers authored by Kōichi Nakamura
This map shows the geographic impact of Kōichi Nakamura'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 Kōichi Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kōichi Nakamura more than expected).
Fields of papers citing papers by Kōichi Nakamura
This network shows the impact of papers produced by Kōichi Nakamura. 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 Kōichi Nakamura. The network helps show where Kōichi Nakamura may publish in the future.
Co-authorship network of co-authors of Kōichi Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Kōichi Nakamura. A scholar is included among the top collaborators of Kōichi Nakamura 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 Kōichi Nakamura. Kōichi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | VERIFICATION OF SAVING ENERGY EFFECT BY ROAD TUNNEL VENTILATION CONTROL SYSTEM BASED ON KNOWLEDGE ENGINEERING AND FUZZY THEORY | 2 |
| 16 | 1 | |
| 17 | Effect of FK 506 and antiproliferative agents for heart and liver xenotransplantation from hamster to rat. | 3 |
| 18 | SeasonalVariationof Thermal Sweating | 3 |
| 19 | Effect of Fine Alteration in Ambient Temperature on Thermal Sweating at Rest and during Exercise under Thermo-neutral Conditions | 3 |
| 20 | Response of Serum Prolactin to Thermal Stress During Water Immersion | 1 |
About Kōichi Nakamura
Kōichi Nakamura is a scholar working on Pharmacology, Developmental Neuroscience and Clinical Biochemistry, having authored 225 papers that have together received 6.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Orthopedic Surgery and Rehabilitation (15 papers) and Antibiotics Pharmacokinetics and Efficacy (12 papers). The work is most often cited by research in Pharmacology (1.3k citations), Gastroenterology (319 citations) and Hepatology (358 citations). Kōichi Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include G. Wilkinson, Jorge Goldstein, Joyce Blaisdell, Urs Meyer, Sara Moráis, Hiroyuki Kato, Tetsuro Fukase, Taro Iizumi, Shigeharu Uchiyama and Norio Ishigaki. Their work appears in journals such as Science, Chemical Society Reviews and Journal of Biological Chemistry.
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.