Takeshi Yoshida
- Molecular Biology top 5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- Rikinari HanayamaNaoki SakaneT. UmekawaKazuhiko NakagawaIsamu OkamotoMasahiro FukuokaMasayuki SaitoYuji Miyatake
- Topics
- Lung Cancer Treatments and Mutations (18 papers)Adipose Tissue and Metabolism (15 papers)HER2/EGFR in Cancer Research (12 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takeshi Yoshida
133 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.8k
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 724
- Physiology 669
- Cancer Research 610
Countries citing papers authored by Takeshi Yoshida
This map shows the geographic impact of Takeshi 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 Takeshi Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Yoshida more than expected).
Fields of papers citing papers by Takeshi Yoshida
This network shows the impact of papers produced by Takeshi 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 Takeshi Yoshida. The network helps show where Takeshi Yoshida may publish in the future.
Co-authorship network of co-authors of Takeshi Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yoshida. A scholar is included among the top collaborators of Takeshi Yoshida 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 Takeshi Yoshida. Takeshi Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 54 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | 59 | |
| 10 | 1 | |
| 11 | 378 | |
| 12 | 12 | |
| 13 | 89 | |
| 14 | 17 | |
| 15 | 58 | |
| 16 | 79 | |
| 17 | 55 | |
| 18 | 4 | |
| 19 | 109 | |
| 20 | The alpha/beta-adrenergic receptor blocker arotinolol activates the thermogenesis of brown adipose tissue in monosodium-L-glutamate-induced obese mice. | 3 |
About Takeshi Yoshida
Takeshi Yoshida is a scholar working on Fuel Technology, Oncology and Physiology, having authored 141 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (18 papers), Adipose Tissue and Metabolism (15 papers) and HER2/EGFR in Cancer Research (12 papers). The work is most often cited by research in Cancer Research (610 citations), Oncology (1.0k citations) and Environmental Chemistry (321 citations). Takeshi Yoshida has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Rikinari Hanayama, Naoki Sakane, T. Umekawa, Kazuhiko Nakagawa, Isamu Okamoto, Masahiro Fukuoka, Masayuki Saito, Yuji Miyatake, Yasuo Wakabayashi and Eric B. Haura. Their work appears in journals such as Journal of the American Chemical Society, 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.