Tomoki Yoshida
Impact in
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- Fungal and yeast genetics research
- Mitochondrial Function and Pathology
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- ATP Synthase and ATPases Research
Papers in
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- Ubiquitin and proteasome pathways 4
- Protein Structure and Dynamics 3
- DNA and Nucleic Acid Chemistry 3
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- Carbohydrate Chemistry and Synthesis 2
- Co-authors
- Akira Kakizuka (5 shared papers)Hiromi Imamura (4 shared papers)Mitsuhiro Yanagida (2 shared papers)Noriyuki Kinoshita (2 shared papers)Takashi Toda (1 shared paper)Mizuki Shimanuki (1 shared paper)Shuichi Hirono (5 shared papers)Hiroyuki Ohkura (1 shared paper)
- Journals
- Scientific Reports (3 papers)Chemical and Pharmaceutical Bulletin (2 papers)Genes to Cells (2 papers)Chemistry Letters (2 papers)The Journal of Organic Chemistry (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Tomoki Yoshida
33 papers receiving 456 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 287
- Aging 6
- Cell Biology 53
- Biochemistry 23
- Biophysics 15
Countries citing papers authored by Tomoki Yoshida
This map shows the geographic impact of Tomoki Yoshida'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 Tomoki Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki Yoshida more than expected).
Fields of papers citing papers by Tomoki Yoshida
This network shows the impact of papers produced by Tomoki Yoshida. 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 Tomoki Yoshida. The network helps show where Tomoki Yoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoki Yoshida, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 73 | |
| 2 | 2016 | 68 | |
| 3 | 2017 | 29 | |
| 4 | 2004 | 28 | |
| 5 | 2007 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2007 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2001 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2014 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2018 | 6 |
About Tomoki Yoshida
Tomoki Yoshida is a scholar working on Molecular Biology, Organic Chemistry, Biochemistry, Oncology and Computational Theory and Mathematics, having authored 35 papers that have together received 463 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Microtubule and mitosis dynamics (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Animal Behavior and Welfare Studies (2 papers). The work is most often cited by research in Molecular Biology (287 citations), Aging (6 citations), Cell Biology (53 citations), Biochemistry (23 citations) and Biophysics (15 citations). Tomoki Yoshida has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Akira Kakizuka, Hiromi Imamura, Mitsuhiro Yanagida, Noriyuki Kinoshita, Takashi Toda, Mizuki Shimanuki, Shuichi Hirono, Hiroyuki Ohkura, Yasuyuki Matoba and Misako Aida. Their work appears in journals such as Scientific Reports, Chemical and Pharmaceutical Bulletin, Genes to Cells, Chemistry Letters and The Journal of Organic 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.