Hideyoshi Yokosawa
- Molecular Biology top 1%
- Oncology top 2%
- Cell Biology top 1%
- Immunology top 2%
- Epidemiology top 5%
- Co-authors
- Shin‐ichi IshiiHitoshi SawadaAkio Toh‐eYasushi SaekiHiroyuki KawaharaMasahiro FujimuroSachiko TsukamotoKeiji Tanaka
- Topics
- Ubiquitin and proteasome pathways (77 papers)Peptidase Inhibition and Analysis (35 papers)Marine Ecology and Invasive Species (28 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Hideyoshi Yokosawa
220 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 4.5k
- Oncology 1.4k
- Cell Biology 1.1k
- Immunology 1.0k
- Epidemiology 861
Countries citing papers authored by Hideyoshi Yokosawa
This map shows the geographic impact of Hideyoshi Yokosawa'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 Hideyoshi Yokosawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyoshi Yokosawa more than expected).
Fields of papers citing papers by Hideyoshi Yokosawa
This network shows the impact of papers produced by Hideyoshi Yokosawa. 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 Hideyoshi Yokosawa. The network helps show where Hideyoshi Yokosawa may publish in the future.
Co-authorship network of co-authors of Hideyoshi Yokosawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyoshi Yokosawa. A scholar is included among the top collaborators of Hideyoshi Yokosawa 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 Hideyoshi Yokosawa. Hideyoshi Yokosawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 29 | |
| 3 | 39 | |
| 4 | 43 | |
| 5 | 113 | |
| 6 | ANALYSIS OF UP-REGULATED GENES DURING HEMOCYTE AGGREGATION IN HALOCYNTHIA RORETZI(Physiology,Abstracts of papers presented at the 74^ Annual Meeting of the Zoological Society of Japan) : | 3 |
| 7 | 113 | |
| 8 | 6 | |
| 9 | 109 | |
| 10 | 36 | |
| 11 | 39 | |
| 12 | 18 | |
| 13 | 89 | |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 14 | |
| 19 | 24 | |
| 20 | 2 |
About Hideyoshi Yokosawa
Hideyoshi Yokosawa is a scholar working on Biotechnology, Molecular Biology and Oncology, having authored 223 papers that have together received 7.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (77 papers), Peptidase Inhibition and Analysis (35 papers) and Marine Ecology and Invasive Species (28 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (4.5k citations) and Biotechnology (567 citations). Hideyoshi Yokosawa has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Shin‐ichi Ishii, Hitoshi Sawada, Akio Toh‐e, Yasushi Saeki, Hiroyuki Kawahara, Masahiro Fujimuro, Sachiko Tsukamoto, Keiji Tanaka, Kaoru Azumi and Tadashi Inagami. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.