Tetsuya Nakamoto

3.8k total citations
83 papers, 3.2k citations indexed

About

Tetsuya Nakamoto is a scholar working on Molecular Biology, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Tetsuya Nakamoto has authored 83 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Oncology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Tetsuya Nakamoto's work include Cell Adhesion Molecules Research (15 papers), Bone Metabolism and Diseases (14 papers) and Vacuum and Plasma Arcs (13 papers). Tetsuya Nakamoto is often cited by papers focused on Cell Adhesion Molecules Research (15 papers), Bone Metabolism and Diseases (14 papers) and Vacuum and Plasma Arcs (13 papers). Tetsuya Nakamoto collaborates with scholars based in Japan, United States and Canada. Tetsuya Nakamoto's co-authors include Hisamaru Hirai, Ryuichi Sakai, Yoshio Yazaki, Hiroaki Honda, Mark H. Ginsberg, Keiya Ozawa, Seishi Ogawa, Hiroo Ueno, Masaki Noda and Shinichi Aizawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Tetsuya Nakamoto

74 papers receiving 3.1k citations

Peers

Tetsuya Nakamoto
Comparison fields: 5 of 116
  • Molecular Biology 1.9k
  • Cell Biology 1.2k
  • Immunology and Allergy 1.1k
  • Oncology 416
  • Cellular and Molecular Neuroscience 318
Replace Dan P. Felsenfeld with:
Dan P. Felsenfeld United States
Maryse Bailly United Kingdom
Kouichi Tachibana Japan
Karen H. Martin United States
Arjan van der Flier United States
Xi Zhan United States
Neil A. Hotchin United Kingdom
Marc R. Block France
Kyle R. Legate Germany
Stephan Huveneers Netherlands
Dan P. Felsenfeld United States View profile →
Citations per field, relative to Tetsuya Nakamoto
Tetsuya Nakamoto · 1×
Citations per year, relative to Tetsuya Nakamoto
Tetsuya Nakamoto · 1×

Countries citing papers authored by Tetsuya Nakamoto

Since Specialization
Citations

This map shows the geographic impact of Tetsuya Nakamoto'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 Nakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Nakamoto more than expected).

Fields of papers citing papers by Tetsuya Nakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tetsuya Nakamoto. 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 Nakamoto. The network helps show where Tetsuya Nakamoto may publish in the future.

Co-authorship network of co-authors of Tetsuya Nakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Nakamoto. A scholar is included among the top collaborators of Tetsuya Nakamoto 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 Nakamoto. Tetsuya Nakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 53
2
LAPLACE TRANSFORMATION APPLYING TO TRV MODIFICATION CALCULATION
0
3 9
4 28
5 14
6 4
7 7
8 8
9 0
10 1
11 52
12 8
13 39
14 119
15 114
16 49
17 20
18 107
19 37
20 19

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.

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