Naoki Tamura
- Molecular Biology
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Cell Biology
- Co-authors
- Tatsuya YokoyamaPaul DebevecPieter PeersWojciech MatusikYasuyoshi SakaiMasahide OkuTakaaki TomaiItaru Honma
- Topics
- Cellular transport and secretion (8 papers)Autophagy in Disease and Therapy (7 papers)Advanced Vision and Imaging (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Naoki Tamura
49 papers receiving 794 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 204
- Control and Systems Engineering 141
- Electrical and Electronic Engineering 129
- Computer Vision and Pattern Recognition 113
- Cell Biology 107
Countries citing papers authored by Naoki Tamura
This map shows the geographic impact of Naoki Tamura'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 Naoki Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Tamura more than expected).
Fields of papers citing papers by Naoki Tamura
This network shows the impact of papers produced by Naoki Tamura. 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 Naoki Tamura. The network helps show where Naoki Tamura may publish in the future.
Co-authorship network of co-authors of Naoki Tamura
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Tamura. A scholar is included among the top collaborators of Naoki Tamura 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 Naoki Tamura. Naoki Tamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 40 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 97 | |
| 16 | 8 | |
| 17 | 36 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | Scanning Electron Microscope Observation of the Anterior Surface of the Iris in the Japanese Monkey Eye with Special Reference to the Associated Nerve Fiber | 1 |
About Naoki Tamura
Naoki Tamura is a scholar working on Computer Graphics and Computer-Aided Design, Cell Biology and Orthodontics, having authored 54 papers that have together received 819 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Autophagy in Disease and Therapy (7 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (77 citations), Complementary and Manual Therapy (26 citations) and Physiology (47 citations). Naoki Tamura has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Tatsuya Yokoyama, Paul Debevec, Pieter Peers, Wojciech Matusik, Yasuyoshi Sakai, Masahide Oku, Takaaki Tomai, Itaru Honma, Yuta Nakayasu and Yasunori Fukumoto. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.