Mari Gotoh

1.3k citations
58 papers · 1.1k · h-index 20

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 23
    • Lipid Membrane Structure and Behavior 15
    • Metabolomics and Mass Spectrometry Studies 4
    • Endoplasmic Reticulum Stress and Disease 4

Mari Gotoh

56 papers receiving 1.1k citations

Peers

Mari Gotoh
Comparison fields: 5 of 111
  • Developmental Neuroscience 73
  • Neurology 126
  • Cell Biology 181
  • Biological Psychiatry 25
  • Molecular Biology 656
Replace Takeshi Funakoshi with:
Takeshi Funakoshi Japan
Sung‐Su Kim South Korea
Jahan Ara United States
Kaori Nishikawa Japan
Zhihua Qiu China
Oscar A. Bizzozero United States
Agnieszka Gizak Poland
Svetlana Gorodin Israel
Subhas C. Biswas India
Mari Gotoh relative to Takeshi Funakoshi Japan Takeshi Funakoshi's profile →
Citations per field
00.5×1.5×
Takeshi Funakoshi · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996123
2 201277
3 200360
4 201952
5 201047
6 200546
7 201739
8 201936
9 201433
10 201433
11 201231
12 201130
13 202326
14 199425
15 202224
16 200522
17 201022
18 201822
19 200420
20 201020

About Mari Gotoh

Mari Gotoh is a scholar working on Molecular Biology, Cell Biology, Neurology, Physiology and Immunology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (23 papers), Lipid Membrane Structure and Behavior (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Lysosomal Storage Disorders Research (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Immune Response and Inflammation (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (73 citations), Neurology (126 citations), Cell Biology (181 citations), Biological Psychiatry (25 citations) and Molecular Biology (656 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, Koji Umeshita, Shinobu Imajoh‐Ohmi, Yasunori Miyamoto, J. Kambayashi, Hideyuki Miyoshi and Morito Monden. 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 Bioorganic & Medicinal Chemistry Letters.

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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