Kosuke Hashimoto
Impact in
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Aging top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Genomics and Phylogenetic Studies 7
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Oncology 6
- Lung Cancer Research Studies 4
- Co-authors
- Anna R. Panchenko (8 shared papers)Hafumi Nishi (4 shared papers)Minoru Kanehisa (14 shared papers)Susumu Goto (8 shared papers)Shin Kawano (4 shared papers)Akiyasu C. Yoshizawa (3 shared papers)Kiyoko F. Aoki‐Kinoshita (4 shared papers)Nobuhisa Ueda (3 shared papers)
- Journals
- Scientific Reports (3 papers)Genome Research (3 papers)Proceedings of the National Academy of Sciences (2 papers)Computer applications in the biosciences (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kosuke Hashimoto
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.3k
- Aging 22
- Biochemistry 85
- Immunology 225
- Aquatic Science 58
Countries citing papers authored by Kosuke Hashimoto
This map shows the geographic impact of Kosuke Hashimoto'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 Kosuke Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Hashimoto more than expected).
Fields of papers citing papers by Kosuke Hashimoto
This network shows the impact of papers produced by Kosuke Hashimoto. 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 Kosuke Hashimoto. The network helps show where Kosuke Hashimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Kosuke Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 239 | |
| 2 | 2005 | 215 | |
| 3 | 2019 | 198 | |
| 4 | 2007 | 160 | |
| 5 | 2010 | 154 | |
| 6 | 2011 | 88 | |
| 7 | 2013 | 88 | |
| 8 | 2005 | 54 | |
| 9 | 2022 | 48 | |
| 10 | 2015 | 43 | |
| 11 | 2013 | 40 | |
| 12 | 2012 | 40 | |
| 13 | 2010 | 37 | |
| 14 | 2009 | 31 | |
| 15 | 2019 | 28 | |
| 16 | 2019 | 27 | |
| 17 | 2012 | 22 | |
| 18 | 2008 | 22 | |
| 19 | 2007 | 20 | |
| 20 | 2019 | 20 |
About Kosuke Hashimoto
Kosuke Hashimoto is a scholar working on Molecular Biology, Oncology, Epidemiology, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Lung Cancer Research Studies (4 papers), RNA and protein synthesis mechanisms (4 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Aging (22 citations), Biochemistry (85 citations), Immunology (225 citations) and Aquatic Science (58 citations). Kosuke Hashimoto has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Anna R. Panchenko, Hafumi Nishi, Minoru Kanehisa, Susumu Goto, Shin Kawano, Akiyasu C. Yoshizawa, Kiyoko F. Aoki‐Kinoshita, Nobuhisa Ueda, Shujiro Okuda and Stephen H. Bryant. Their work appears in journals such as Scientific Reports, Genome Research, Proceedings of the National Academy of Sciences, Computer applications in the biosciences and Infection and Drug Resistance.
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.