Mitsuhiro Abe

2.4k citations
46 papers · 1.9k · h-index 26

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Lipid Membrane Structure and Behavior
    • Fungal and yeast genetics research
    • Sphingolipid Metabolism and Signaling

Papers in

    • Lipid Membrane Structure and Behavior 15
    • Sphingolipid Metabolism and Signaling 9
    • Fungal and yeast genetics research 9
    • Cellular transport and secretion 9
    • Microtubule and mitosis dynamics 3

Mitsuhiro Abe

46 papers receiving 1.8k citations

Peers

Mitsuhiro Abe
Comparison fields: 5 of 110
  • Cell Biology 636
  • Molecular Biology 1.4k
  • Structural Biology 22
  • Biophysics 75
  • Aging 20
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuhiro Abe

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuhiro Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsuhiro Abe Line = papers co-authored together Mitsuhiro Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005184
2 2012123
3 2002113
4 2017105
5 2015100
6 2011100
7 200279
8 201474
9 201868
10 200168
11 200267
12 200564
13 201364
14 201057
15 200355
16 201346
17 200844
18 201939
19 200138
20 201231

About Mitsuhiro Abe

Mitsuhiro Abe is a scholar working on Molecular Biology, Cell Biology, Plant Science, Physiology and Biophysics, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (15 papers), Cellular transport and secretion (9 papers), Sphingolipid Metabolism and Signaling (9 papers), Fungal and yeast genetics research (9 papers), Polysaccharides and Plant Cell Walls (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cell Biology (636 citations), Molecular Biology (1.4k citations), Structural Biology (22 citations), Biophysics (75 citations) and Aging (20 citations). Mitsuhiro Abe has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Yoshikazu Ohya, Toshihide Kobayashi, Asami Makino, Daisuke Watanabe, Keiju Kamijo, Aiko Hirata, Motohide Murate, Yoshiko Ohno‐Iwashita, Hiroshi Qadota and Françoise Hullin‐Matsuda. Their work appears in journals such as Molecular Biology of the Cell, Yeast, The Journal of Cell Biology, The FASEB Journal and Journal of Biological Chemistry.

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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