Mari Kono

4.9k citations
69 papers · 3.8k indexed · h-index 33

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Sphingolipid Metabolism and Signaling
    • Glycosylation and Glycoproteins Research
    • Lipid Membrane Structure and Behavior

Papers in

    • Sphingolipid Metabolism and Signaling 19
    • Glycosylation and Glycoproteins Research 18
    • RNA and protein synthesis mechanisms 4

Mari Kono

67 papers receiving 3.7k citations

Peers

Mari Kono
Comparison fields: 5 of 123
  • Cell Biology 868
  • Molecular Biology 2.8k
  • Immunology 669
  • Physiology 672
  • Molecular Medicine 127
Replace Yoshiko Banno with:
Yoshiko Banno Japan
Antonio Gómez‐Muñoz Spain
Yong Tae Kwon South Korea
Sudharsana Rao Ande Canada
Karen L. Leach United States
André Trouet Belgium
Douglas K. Miller United States
Sylvie Montessuit Switzerland
Robbert H. Cool Netherlands
Chiara Luberto United States
Mari Kono relative to Yoshiko Banno Japan Yoshiko Banno's profile →
Citations per field
00.5×3.0×
Yoshiko Banno · 1×
Citations per year

Countries citing papers authored by Mari Kono

Since Specialization
Citations

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

Fields of papers citing papers by Mari Kono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 202316
3 20236
4 20228
5 20220
6 202027
7 201737
8 2015252
9 200849
10 2005131
11 2002107
12 2002118
13 200218
14 199960
15 199934
16 19985
17 199660
18 19953
19 19912
20 19806

About Mari Kono

Mari Kono is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Neurology and Immunology, having authored 69 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (19 papers), Glycosylation and Glycoproteins Research (18 papers), Lysosomal Storage Disorders Research (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Galectins and Cancer Biology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cell Biology (868 citations), Molecular Biology (2.8k citations), Immunology (669 citations), Physiology (672 citations) and Molecular Medicine (127 citations). Mari Kono has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Richard L. Proia, Shuichi Tsuji, Tadashi Yamashita, María L. Allende, Roger Sandhoff, Konrad Sandhoff, Norbert Werth, Timothy Hla, Yide Mi and Yujing Liu. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, Journal of Clinical Investigation, The Journal of Biochemistry and Canadian Journal of 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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