T. Kigawa

10.0k total citations
181 papers, 7.5k citations indexed

About

T. Kigawa is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, T. Kigawa has authored 181 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Molecular Biology, 24 papers in Materials Chemistry and 18 papers in Cell Biology. Recurrent topics in T. Kigawa's work include RNA and protein synthesis mechanisms (52 papers), Protein Structure and Dynamics (25 papers) and Enzyme Structure and Function (22 papers). T. Kigawa is often cited by papers focused on RNA and protein synthesis mechanisms (52 papers), Protein Structure and Dynamics (25 papers) and Enzyme Structure and Function (22 papers). T. Kigawa collaborates with scholars based in Japan, United States and Germany. T. Kigawa's co-authors include Shigeyuki Yokoyama, Takashi Yabuki, Mikako Shirouzu, S. Koshiba, Takayoshi Matsuda, N. Tochio, Makoto Inoue, Akiko Tanaka, Takaho Terada and Yutaka Ito and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

T. Kigawa

178 papers receiving 7.4k citations

Peers

T. Kigawa
Comparison fields: 5 of 157
  • Molecular Biology 6.1k
  • Plant Science 1.2k
  • Cell Biology 784
  • Genetics 717
  • Materials Chemistry 637
Replace Joel P. Mackay with:
Joel P. Mackay Australia
Raphaël Guérois France
Takehiko Shibata Japan
Gabriel C. Lander United States
Hauke Lilie Germany
Bertrand Séraphin France
Mick F. Tuite United Kingdom
Lawrence P. McIntosh Canada
Rodolfo Ghirlando United States
Gilbert G. Privé Canada
Joel P. Mackay Australia View profile →
Citations per field, relative to T. Kigawa
T. Kigawa · 1×
Citations per year, relative to T. Kigawa
T. Kigawa · 1×

Countries citing papers authored by T. Kigawa

Since Specialization
Citations

This map shows the geographic impact of T. Kigawa'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 T. Kigawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kigawa more than expected).

Fields of papers citing papers by T. Kigawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kigawa

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kigawa. A scholar is included among the top collaborators of T. Kigawa 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 T. Kigawa. T. Kigawa 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 1
2 9
3 6
4 10
5 1
6 1
7 0
8 28
9 2
10 25
11 53
12 13
13 67
14 42
15 53
16 55
17 33
18 28
19 69
20
300. Effects of Prolactin on Lipid Metabolism
3

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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