Tetsuya Nakamura

4.1k citations
69 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Developmental Biology and Gene Regulation (19 papers)Congenital heart defects research (14 papers)Coenzyme Q10 studies and effects (8 papers)
Partner nations
JapanUnited StatesBrazil

In The Last Decade

Tetsuya Nakamura

65 papers receiving 2.4k citations

Hit Papers

A long nuclear‐retained non‐coding RNA regulates synaptog...20102026201520202010100200300400500

Peers

Tetsuya Nakamura
Comparison fields: 5 of 139
  • Molecular Biology 1.6k
  • Cancer Research 600
  • Genetics 405
  • Cell Biology 188
  • Immunology 156
Replace Howard G. Gratzner with:
Howard G. Gratzner United States
Yurii Chinenov United States
Reiko Kikuno Japan
Holger Kramer United Kingdom
Sharleen Zhou United States
Therese Schulthess Switzerland
R. E. Stephens United States
Tamar Ziv Israel
James W. Schilling United States
Zheng Li China
Tetsuya Nakamura relative to Howard G. Gratzner United States Howard G. Gratzner's profile →
Citations per field
00.5×10.8×
Howard G. Gratzner · 1×
Citations per year

Countries citing papers authored by Tetsuya Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Nakamura. A scholar is included among the top collaborators of Tetsuya Nakamura 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 Nakamura. Tetsuya Nakamura 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
#WorkIndexed citations
1 0
2 2
3 1
4 4
5 3
6 10
7 9
8 61
9 0
10 7
11 102
12 2
13 118
14 75
15 98
16 172
17 34
18 43
19 7
20
1

About Tetsuya Nakamura

Tetsuya Nakamura is a scholar working on Molecular Biology, Biochemistry and Cell Biology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (19 papers), Congenital heart defects research (14 papers) and Coenzyme Q10 studies and effects (8 papers). The work is most often cited by research in Cancer Research (600 citations), Molecular Biology (1.6k citations) and Virology (77 citations). Tetsuya Nakamura has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Hiroshi Hamada, Neil H. Shubin, Kannanganattu V. Prasanth, David L. Spector, Fanny Coulpier, Zhenyu Xuan, Delphine Bernard, Vidisha Tripathi, Michael Q. Zhang and Sabrina Colasse. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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