Tamako Nishimura

1.8k total citations
29 papers, 1.3k citations indexed

About

Tamako Nishimura is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Tamako Nishimura has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cell Biology and 4 papers in Biophysics. Recurrent topics in Tamako Nishimura's work include Cellular Mechanics and Interactions (7 papers), Cellular transport and secretion (6 papers) and Microtubule and mitosis dynamics (6 papers). Tamako Nishimura is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Cellular transport and secretion (6 papers) and Microtubule and mitosis dynamics (6 papers). Tamako Nishimura collaborates with scholars based in Japan, United States and France. Tamako Nishimura's co-authors include Masatoshi Takeichi, Hisao Honda, Yoshitaka Ono, Mikiko Takahashi, Hideyuki Mukai, Shiro Suetsugu, Nobuhiro Morone, Naoyuki Miyokawa, Yasuhiro Saito and T Taniyama and has published in prestigious journals such as Cell, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Tamako Nishimura

27 papers receiving 1.3k citations

Peers

Tamako Nishimura
Comparison fields: 5 of 105
  • Molecular Biology 850
  • Cell Biology 768
  • Cellular and Molecular Neuroscience 116
  • Genetics 108
  • Biomedical Engineering 108
Replace Virginie Lecaudey with:
Virginie Lecaudey Germany
Florian Ulrich United States
Lorena Marchant Chile
Irinka Castanon Switzerland
Tomoyuki Sumi Japan
Kazuya Tsujita Japan
Evan Heller United States
Tatiana Omelchenko United States
Louis Dye United States
D Köster India
Virginie Lecaudey Germany View profile →
Citations per field, relative to Tamako Nishimura
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Citations per year, relative to Tamako Nishimura
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Countries citing papers authored by Tamako Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Tamako Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamako Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Tamako Nishimura. A scholar is included among the top collaborators of Tamako Nishimura 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 Tamako Nishimura. Tamako Nishimura 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 0
2 7
3 15
4 7
5 14
6 2
7 7
8 5
9 25
10 35
11 21
12 376
13 22
14 117
15 233
16 28
17 18
18 191
19 18
20 48

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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