Paul K. Nakane
- Molecular Biology top 1%
- Immunology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 2%
- Genetics top 1%
- Co-authors
- Ian W. McLeanAkira KawaoiTakehiko KojiWilliam R. BrownG. Barry PierceYoshinari IsobeAndrew G. FarrNobuyuki Kobayashi
- Topics
- Monoclonal and Polyclonal Antibodies Research (20 papers)Glycosylation and Glycoproteins Research (13 papers)RNA Interference and Gene Delivery (12 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Paul K. Nakane
143 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.2k
- Immunology 2.1k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Surgery 1.3k
- Genetics 1.3k
Countries citing papers authored by Paul K. Nakane
This map shows the geographic impact of Paul K. Nakane'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 Paul K. Nakane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul K. Nakane more than expected).
Fields of papers citing papers by Paul K. Nakane
This network shows the impact of papers produced by Paul K. Nakane. 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 Paul K. Nakane. The network helps show where Paul K. Nakane may publish in the future.
Co-authorship network of co-authors of Paul K. Nakane
This figure shows the co-authorship network connecting the top 25 collaborators of Paul K. Nakane. A scholar is included among the top collaborators of Paul K. Nakane 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 Paul K. Nakane. Paul K. Nakane 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 | 3 | |
| 3 | 85 | |
| 4 | 278 | |
| 5 | 54 | |
| 6 | 49 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 44 | |
| 14 | The Mechanism of Placental Alkaline Phosphatase Induction in Vitro. | 1 |
| 15 | 7 | |
| 16 | 33 | |
| 17 | Mode of PCNA/cyclin and c-myc Antigens in Regenerating Rat Livers. | 2 |
| 18 | 50 Localization of c-myc Gene Product in Cancer and Normal Cells and Tissues. | 1 |
| 19 | Purification and immunohistochemical localization of rat hepatic cellular retinol-binding protein. | 1 |
| 20 | 229. ANTIGEN LOCALIZATION VIA BACKSCATTERED ELECTRON IMAGING USING DIAMINOBENZIDINE COMPLEXED WITH METALS OTHER THAN OSMIUM. | 1 |
About Paul K. Nakane
Paul K. Nakane is a scholar working on Structural Biology, Nephrology and Hepatology, having authored 146 papers that have together received 12.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (13 papers) and RNA Interference and Gene Delivery (12 papers). The work is most often cited by research in Immunology and Allergy (686 citations), Immunology (2.1k citations) and Reproductive Medicine (709 citations). Paul K. Nakane has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ian W. McLean, Akira Kawaoi, Takehiko Koji, William R. Brown, G. Barry Pierce, Yoshinari Isobe, Andrew G. Farr, Nobuyuki Kobayashi, Tetsuya Moriuchi and Daniel G. Schwartzberg. 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.