Tetsuya Uchida
- Mechanical Engineering top 2%
- Materials Chemistry top 10%
- Molecular Biology
- Immunology top 5%
- Polymers and Plastics top 5%
- Co-authors
- Satish KumarYasuhiro YamamotoYuzo TanakaYukitaka MURAKAMIHiroshige MasuoT. V. SreekumarMaiko TaneichiHan Gi Chae
- Topics
- Synthesis and properties of polymers (33 papers)Immunotherapy and Immune Responses (32 papers)Neuroscience and Neural Engineering (21 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tetsuya Uchida
196 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Mechanical Engineering 774
- Materials Chemistry 692
- Molecular Biology 562
- Immunology 516
- Polymers and Plastics 394
Countries citing papers authored by Tetsuya Uchida
This map shows the geographic impact of Tetsuya 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 Tetsuya Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Uchida more than expected).
Fields of papers citing papers by Tetsuya Uchida
This network shows the impact of papers produced by Tetsuya 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 Tetsuya Uchida. The network helps show where Tetsuya Uchida may publish in the future.
Co-authorship network of co-authors of Tetsuya Uchida
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Uchida. A scholar is included among the top collaborators of Tetsuya 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 Tetsuya Uchida. Tetsuya 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 | 7 | |
| 2 | 1 | |
| 3 | Step-by-Step Procedure to Test Photoelectric Dye-Coupled Polyethylene Film as Retinal Prosthesis to Induce Light-Evoked Spikes in Isolated Retinal Dystrophic Tissue of rd1 Mice | 3 |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 27 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | Changes in Central Corneal Thickness Associated With Topical Corticosteroid Administration in Individuals With Uveitis | 1 |
| 11 | Supramolecular wrapping around single-walled carbon nanotubes with fullerodendrons | 1 |
| 12 | 7 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 18 |
About Tetsuya Uchida
Tetsuya Uchida is a scholar working on Polymers and Plastics, Immunology and Cellular and Molecular Neuroscience, having authored 209 papers that have together received 3.1k indexed citations. Recurring topics across this work include Synthesis and properties of polymers (33 papers), Immunotherapy and Immune Responses (32 papers) and Neuroscience and Neural Engineering (21 papers). The work is most often cited by research in Microbiology (22 citations), Automotive Engineering (342 citations) and Polymers and Plastics (394 citations). Tetsuya Uchida has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Satish Kumar, Yasuhiro Yamamoto, Yuzo Tanaka, Yukitaka MURAKAMI, Hiroshige Masuo, T. V. Sreekumar, Maiko Taneichi, Han Gi Chae, Kunio Kimura and Kaoru Shimamura. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Macromolecules.
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.