Hiroshi Shima
- Molecular Biology top 2%
- Cell Biology top 2%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Kunimi KikuchiMinako NagaoNobuhiro TanumaTakashi SügimuraKouhei MasudaShinya MitsuhashiKazunori SasakiMasahiko Watanabe
- Topics
- Protein Tyrosine Phosphatases (24 papers)Protein Kinase Regulation and GTPase Signaling (17 papers)Ubiquitin and proteasome pathways (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroshi Shima
135 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.0k
- Cell Biology 619
- Oncology 599
- Cancer Research 534
- Immunology 388
Countries citing papers authored by Hiroshi Shima
This map shows the geographic impact of Hiroshi Shima'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 Hiroshi Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Shima more than expected).
Fields of papers citing papers by Hiroshi Shima
This network shows the impact of papers produced by Hiroshi Shima. 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 Hiroshi Shima. The network helps show where Hiroshi Shima may publish in the future.
Co-authorship network of co-authors of Hiroshi Shima
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Shima. A scholar is included among the top collaborators of Hiroshi Shima 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 Hiroshi Shima. Hiroshi Shima 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 | 3 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 22 | |
| 6 | 6 | |
| 7 | Japanese Sojourners Learning English: Language Ideologies and Identity among Middle School Students | 1 |
| 8 | 15 | |
| 9 | 42 | |
| 10 | Self-Timed Stream Processor for Surrounding Computing Environment. | 1 |
| 11 | 21 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 47 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 206 | |
| 18 | Structure of HTLV and its biological function in leukemogenesis of adult T-cell leukemia. | 1 |
| 19 | Tachinidae Parasitic on the Lymantriidae in Japan | 3 |
| 20 | A New Genus and Species of the Japanese Tachinidae (Diptera) Reared from the Nest of a Solitary Wasp Symmorphus sp. (Hymenoptera, Vespidae) | 2 |
About Hiroshi Shima
Hiroshi Shima is a scholar working on Molecular Biology, Cancer Research and Cell Biology, having authored 141 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (24 papers), Protein Kinase Regulation and GTPase Signaling (17 papers) and Ubiquitin and proteasome pathways (12 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cell Biology (619 citations) and Cancer Research (534 citations). Hiroshi Shima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kunimi Kikuchi, Minako Nagao, Nobuhiro Tanuma, Takashi Sügimura, Kouhei Masuda, Shinya Mitsuhashi, Kazunori Sasaki, Masahiko Watanabe, Yoshinori Kitagawa and Takeshi Urano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.