Shinya Inoué

10.2k citations
158 papers · 6.4k indexed · 2 hit papers · h-index 36
Topics
Microtubule and mitosis dynamics (36 papers)Cellular Mechanics and Interactions (14 papers)Advanced Fluorescence Microscopy Techniques (13 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Shinya Inoué

155 papers receiving 5.9k citations

Hit Papers

Cell Motility by Labile Association of Molecules196720261986200619671977200400600

Peers

Shinya Inoué
Comparison fields: 5 of 172
  • Molecular Biology 3.3k
  • Cell Biology 3.1k
  • Biophysics 735
  • Biomedical Engineering 671
  • Plant Science 589
Replace Manfred Schliwa with:
Manfred Schliwa Germany
Michael Schleicher Germany
Vladimir I. Gelfand United States
Steven P. Gross United States
Mark Terasaki United States
Robert D. Allen United States
Katherine Luby‐Phelps United States
Viki Allan United Kingdom
R. Dyche Mullins United States
Paul Matsudaira United States
Shinya Inoué relative to Manfred Schliwa Germany Manfred Schliwa's profile →
Citations per field
00.5×1.7×
Manfred Schliwa · 1×
Citations per year

Countries citing papers authored by Shinya Inoué

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Inoué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Inoué

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Inoué. A scholar is included among the top collaborators of Shinya Inoué 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 Shinya Inoué. Shinya Inoué 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 1
2 2
3 10
4 9
5 3
6 20
7 16
8 66
9 16
10 1
11 20
12 8
13 35
14 39
15 10
16 25
17 27
18
Correlation between urinary melanin-related metabolites and tumour weight in melanoma-bearing mice.
6
19
The living spindle (Advances in Cell Division Research)
4
20 32

About Shinya Inoué

Shinya Inoué is a scholar working on Structural Biology, Cell Biology and Biophysics, having authored 158 papers that have together received 6.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (36 papers), Cellular Mechanics and Interactions (14 papers) and Advanced Fluorescence Microscopy Techniques (13 papers). The work is most often cited by research in Cell Biology (3.1k citations), Biophysics (735 citations) and Structural Biology (127 citations). Shinya Inoué has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Hidemi Sato, Edward D. Salmon, Kenneth R. Spring, John O. Corliss, Raymond E. Stephens, Phong T. Tran, Fred Chang, Valérie Doye, Lorraine Marsh and Yoshio Fukui. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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