Mari Gotoh

1.4k citations
61 papers · 1.1k · h-index 21

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 21
    • Lipid Membrane Structure and Behavior 16
    • Metabolomics and Mass Spectrometry Studies 4
    • Endoplasmic Reticulum Stress and Disease 4

Mari Gotoh

57 papers receiving 1.1k citations

Peers

Mari Gotoh
Comparison fields: 5 of 113
  • Developmental Neuroscience 72
  • Neurology 128
  • Biological Psychiatry 26
  • Cell Biology 179
  • Behavioral Neuroscience 33
Replace Kaori Nishikawa with:
Kaori Nishikawa Japan
Svetlana Gorodin Israel
Agnieszka Gizak Poland
Tej K. Pareek United States
Mario Alberghina Italy
Venugopalan D. Nair United States
Manuela Basso Italy
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Sugako Oka Japan
Mari Gotoh relative to Kaori Nishikawa Japan Kaori Nishikawa's profile →
Citations per field
00.5×3.7×
Kaori Nishikawa · 1×
Citations per year

Countries citing papers authored by Mari Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Mari Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996125
2 201280
3 200361
4 201955
5 200548
6 201048
7 201742
8 201936
9 201434
10 201434
11 201132
12 201232
13 202330
14 202227
15 199425
16 201823
17 201022
18 200522
19 201022
20 200722

About Mari Gotoh

Mari Gotoh is a scholar working on Molecular Biology, Cell Biology, Immunology, Neurology and Physiology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (21 papers), Lipid Membrane Structure and Behavior (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Lysosomal Storage Disorders Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Immune Response and Inflammation (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Developmental Neuroscience (72 citations), Neurology (128 citations), Biological Psychiatry (26 citations), Cell Biology (179 citations) and Behavioral Neuroscience (33 citations). Mari Gotoh has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Kimiko Murakami‐Murofushi, Hiromu Murofushi, Shingo Nakajima, Hiroshi Kunugi, Yasunori Miyamoto, Harumi Hotta, Hideyuki Miyoshi, Koji Umeshita, Morito Monden and Eiji Oiki. Their work appears in journals such as Brain Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Chemistry & Biodiversity, Scientific Reports and European Journal of Pharmacology.

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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