Takeshi Uchida
- Molecular Biology top 5%
- Cell Biology top 1%
- Immunology top 5%
- Physiology top 5%
- Oncology top 10%
- Co-authors
- Teizo KitagawaKoichiro IshimoriYasuhiko KoezukaKazuhiro MotokiH FukushimaEiji KobayashiShigetoshi AonoTôru Shimizu
- Topics
- Hemoglobin structure and function (46 papers)Heme Oxygenase-1 and Carbon Monoxide (28 papers)Photosynthetic Processes and Mechanisms (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takeshi Uchida
179 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.8k
- Cell Biology 810
- Immunology 448
- Physiology 405
- Oncology 350
Countries citing papers authored by Takeshi Uchida
This map shows the geographic impact of Takeshi Uchida'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 Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Uchida more than expected).
Fields of papers citing papers by Takeshi Uchida
This network shows the impact of papers produced by Takeshi Uchida. 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 Uchida. The network helps show where Takeshi Uchida may publish in the future.
Co-authorship network of co-authors of Takeshi Uchida
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Uchida. A scholar is included among the top collaborators of Takeshi Uchida 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 Uchida. Takeshi Uchida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 60 | |
| 11 | 15 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | Design Method of TWO Dimensional Diamond-Shaped FIR Filter with a Flat Magnitude Characteristic Both in the Passband and the Stopband | 1 |
| 15 | 4 | |
| 16 | 45 | |
| 17 | 3 | |
| 18 | POLYMORPHISM OF TEGAFUR | 1 |
| 19 | 0 | |
| 20 | 1 |
About Takeshi Uchida
Takeshi Uchida is a scholar working on Cell Biology, Endocrinology and Toxicology, having authored 193 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hemoglobin structure and function (46 papers), Heme Oxygenase-1 and Carbon Monoxide (28 papers) and Photosynthetic Processes and Mechanisms (20 papers). The work is most often cited by research in Cell Biology (810 citations), Molecular Biology (1.8k citations) and Inorganic Chemistry (345 citations). Takeshi Uchida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Teizo Kitagawa, Koichiro Ishimori, Yasuhiko Koezuka, Kazuhiro Motoki, H Fukushima, Eiji Kobayashi, Shigetoshi Aono, Tôru Shimizu, Isao Morishima and Takehiro Ohta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.