Takafumi Uchida
- Molecular Biology top 1%
- Oncology top 1%
- Immunology top 1%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Fumihiro FujimoriChiyoko UchidaKun Ping LuYasunori OkadaEisuke MekadaTony HunterAkihide RyoXiao Zhen Zhou
- Topics
- Signaling Pathways in Disease (60 papers)Toxin Mechanisms and Immunotoxins (36 papers)Peptidase Inhibition and Analysis (23 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takafumi Uchida
176 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.6k
- Oncology 2.1k
- Immunology 1.7k
- Cell Biology 531
- Cellular and Molecular Neuroscience 508
Countries citing papers authored by Takafumi Uchida
This map shows the geographic impact of Takafumi 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 Takafumi Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takafumi Uchida more than expected).
Fields of papers citing papers by Takafumi Uchida
This network shows the impact of papers produced by Takafumi 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 Takafumi Uchida. The network helps show where Takafumi Uchida may publish in the future.
Co-authorship network of co-authors of Takafumi Uchida
This figure shows the co-authorship network connecting the top 25 collaborators of Takafumi Uchida. A scholar is included among the top collaborators of Takafumi 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 Takafumi Uchida. Takafumi 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 | 1 | |
| 2 | 17 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 26 | |
| 7 | 33 | |
| 8 | 81 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 73 | |
| 12 | 23 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 356 | |
| 16 | 84 | |
| 17 | 12 | |
| 18 | Diagnostic study concerning the asymmetry index - effects of habitual chewing side | 3 |
| 19 | Severe flare-up in a prostate cancer patient treated with luteinizing hormone-releasing hormone analogue depot. | 1 |
| 20 | 4 |
About Takafumi Uchida
Takafumi Uchida is a scholar working on Immunology, Biotechnology and Molecular Biology, having authored 180 papers that have together received 6.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (60 papers), Toxin Mechanisms and Immunotoxins (36 papers) and Peptidase Inhibition and Analysis (23 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (2.1k citations) and Molecular Biology (4.6k citations). Takafumi Uchida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Fumihiro Fujimori, Chiyoko Uchida, Kun Ping Lu, Yasunori Okada, Eisuke Mekada, Tony Hunter, Akihide Ryo, Xiao Zhen Zhou, Roderick T. Bronson and Kenji Kohno. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.