Jin Tanaka
- Molecular Biology
- Cancer Research top 10%
- Health, Toxicology and Mutagenesis top 10%
- Cell Biology
- Plant Science
- Co-authors
- Masaki InagakiKunio TsujimuraMakoto HayashiYasushi ShimadaHiroshi SuzukiKazuo KobayashiNaoyuki InagakiMasayuki Sekimata
- Topics
- Carcinogens and Genotoxicity Assessment (10 papers)Cardiac Valve Diseases and Treatments (8 papers)Effects and risks of endocrine disrupting chemicals (7 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Jin Tanaka
47 papers receiving 614 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 211
- Cancer Research 168
- Health, Toxicology and Mutagenesis 104
- Cell Biology 97
- Plant Science 83
Countries citing papers authored by Jin Tanaka
This map shows the geographic impact of Jin Tanaka'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 Jin Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tanaka more than expected).
Fields of papers citing papers by Jin Tanaka
This network shows the impact of papers produced by Jin Tanaka. 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 Jin Tanaka. The network helps show where Jin Tanaka may publish in the future.
Co-authorship network of co-authors of Jin Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tanaka. A scholar is included among the top collaborators of Jin Tanaka 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 Jin Tanaka. Jin Tanaka 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 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 49 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Rapid and selective production of hybridoma cells secreting novel monoclonal antibodies based on short-term immunization | 1 |
| 12 | 61 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 22 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 14 | |
| 20 | Surface structure of the human cardiac valve. A comparative study of normal and diseased valves. | 20 |
About Jin Tanaka
Jin Tanaka is a scholar working on Endocrine and Autonomic Systems, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 638 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), Cardiac Valve Diseases and Treatments (8 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). The work is most often cited by research in Cancer Research (168 citations), Chemical Health and Safety (7 citations) and Health, Toxicology and Mutagenesis (104 citations). Jin Tanaka has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Masaki Inagaki, Kunio Tsujimura, Makoto Hayashi, Yasushi Shimada, Hiroshi Suzuki, Kazuo Kobayashi, Naoyuki Inagaki, Masayuki Sekimata, Shoji Ando and Toshikazu Kondo. Their work appears in journals such as The Journal of Cell Biology, PLoS ONE and The FASEB Journal.
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.