Goshi Shiota
- Molecular Biology top 5%
- Hepatology top 0.2%
- Epidemiology top 2%
- Surgery top 2%
- Cancer Research top 2%
- Co-authors
- Hironaka KawasakiHiroyuki TsuchiyaEmmett V. SchmidtTomohiko SakabeToshikazu NakamuraYoshikazu MurawakiAkihiro KurimasaJun‐ichi Okano
- Topics
- Liver physiology and pathology (55 papers)Liver Disease Diagnosis and Treatment (30 papers)Retinoids in leukemia and cellular processes (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesMexico
In The Last Decade
Goshi Shiota
164 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.2k
- Hepatology 2.0k
- Epidemiology 1.6k
- Surgery 1.2k
- Cancer Research 843
Countries citing papers authored by Goshi Shiota
This map shows the geographic impact of Goshi Shiota'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 Goshi Shiota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goshi Shiota more than expected).
Fields of papers citing papers by Goshi Shiota
This network shows the impact of papers produced by Goshi Shiota. 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 Goshi Shiota. The network helps show where Goshi Shiota may publish in the future.
Co-authorship network of co-authors of Goshi Shiota
This figure shows the co-authorship network connecting the top 25 collaborators of Goshi Shiota. A scholar is included among the top collaborators of Goshi Shiota 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 Goshi Shiota. Goshi Shiota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 13 | |
| 3 | 36 | |
| 4 | 7 | |
| 5 | 39 | |
| 6 | 23 | |
| 7 | 31 | |
| 8 | Blockade of angiotensin II type 1 receptor by telmisartan suppressed activation of human hepatic stellate cells | 1 |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 51 | |
| 13 | 7 | |
| 14 | 56 | |
| 15 | Molecular changes in the early stage of colon carcinogenesis in rats treated with azoxymethane. | 22 |
| 16 | 13 | |
| 17 | 60 | |
| 18 | 90 | |
| 19 | 16 | |
| 20 | 11 |
About Goshi Shiota
Goshi Shiota is a scholar working on Hepatology, Cancer Research and Molecular Biology, having authored 165 papers that have together received 5.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (55 papers), Liver Disease Diagnosis and Treatment (30 papers) and Retinoids in leukemia and cellular processes (19 papers). The work is most often cited by research in Hepatology (2.0k citations), Cancer Research (843 citations) and Epidemiology (1.6k citations). Goshi Shiota has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Hironaka Kawasaki, Hiroyuki Tsuchiya, Emmett V. Schmidt, Tomohiko Sakabe, Toshikazu Nakamura, Yoshikazu Murawaki, Akihiro Kurimasa, Jun‐ichi Okano, Kazuo Yashima and Yosuke Kishimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.