Toshiro Seki
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- David T. CurielIgor P. DmitrievMitsuhide NaruseElena A. KashentsevaKiyoko NaruseHiroshi DemuraAkiyo TanabeTakanobu Yoshimoto
- Topics
- Pituitary Gland Disorders and Treatments (12 papers)Nitric Oxide and Endothelin Effects (10 papers)Hormonal Regulation and Hypertension (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismJournal of Virology
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Toshiro Seki
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 538
- Endocrinology, Diabetes and Metabolism 494
- Genetics 392
- Surgery 337
- Cardiology and Cardiovascular Medicine 249
Countries citing papers authored by Toshiro Seki
This map shows the geographic impact of Toshiro Seki'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 Toshiro Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiro Seki more than expected).
Fields of papers citing papers by Toshiro Seki
This network shows the impact of papers produced by Toshiro Seki. 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 Toshiro Seki. The network helps show where Toshiro Seki may publish in the future.
Co-authorship network of co-authors of Toshiro Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiro Seki. A scholar is included among the top collaborators of Toshiro Seki 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 Toshiro Seki. Toshiro Seki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | A platform for constucting infectivity-enhanced fiber-mosaic adenoviruses genetically modified to express two fiber types | 6 |
| 9 | 17 | |
| 10 | Adenovirus targeting to c-erbB-2 oncoprotein by single-chain antibody fused to trimeric form of adenovirus receptor ectodomain. | 76 |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 28 | |
| 14 | 21 | |
| 15 | 17 | |
| 16 | 38 | |
| 17 | 20 | |
| 18 | 28 | |
| 19 | 6 | |
| 20 | 51 |
About Toshiro Seki
Toshiro Seki is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (12 papers), Nitric Oxide and Endothelin Effects (10 papers) and Hormonal Regulation and Hypertension (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (494 citations), Genetics (392 citations) and Cardiology and Cardiovascular Medicine (249 citations). Toshiro Seki has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include David T. Curiel, Igor P. Dmitriev, Mitsuhide Naruse, Elena A. Kashentseva, Kiyoko Naruse, Hiroshi Demura, Akiyo Tanabe, Takanobu Yoshimoto, Toshihiro Imaki and Hongju Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Journal of Virology.
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.