Mayuko Nishimura

406 citations
8 papers · 327 · h-index 6

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ

Papers in

Mayuko Nishimura

7 papers receiving 324 citations

Peers

Mayuko Nishimura
Comparison fields: 5 of 81
  • Aging 102
  • Cell Biology 79
  • Cellular and Molecular Neuroscience 70
  • Endocrine and Autonomic Systems 20
  • Molecular Biology 190
Replace Patrick Jouandin with:
Patrick Jouandin France
Mário F. Neto United States
Devin Rhodenizer United States
Eva Bang Harvald Denmark
Julia Hatzold Germany
Nirmalya Chatterjee United States
Jason Burgess Canada
Roman Vozdek United States
Anne‐Marie Pret France
Krzysztof Drabikowski Poland
Mayuko Nishimura relative to Patrick Jouandin France Patrick Jouandin's profile →
Citations per field
00.5×8.3×
Patrick Jouandin · 1×
Citations per year

Countries citing papers authored by Mayuko Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayuko Nishimura, 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 Mayuko Nishimura Line = papers co-authored together Mayuko Nishimura links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201386
2 200779
3 201068
4 201448
5 201339
6 20166
7 20241
8 20250

About Mayuko Nishimura

Mayuko Nishimura is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 327 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Heat shock proteins research (2 papers), Circadian rhythm and melatonin (2 papers), Cellular Mechanics and Interactions (1 paper), Algal biology and biofuel production (1 paper), Physiological and biochemical adaptations (1 paper), Oral health in cancer treatment (1 paper) and Craniofacial Disorders and Treatments (1 paper). The work is most often cited by research in Aging (102 citations), Cell Biology (79 citations), Cellular and Molecular Neuroscience (70 citations), Endocrine and Autonomic Systems (20 citations) and Molecular Biology (190 citations). Mayuko Nishimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Rolf Bodmer, Yoshiko Inoue, Shigeo Hayashi, Karen Ocorr, Mohammed Mahidur Rahman, Gerasimos P. Sykiotis, Dirk Bohmann, Jérôme Cartry, Malene Hansen and Caroline Kumsta. Their work appears in journals such as Aging Cell, Planta, Experimental Gerontology, Development and Diagnostics.

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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