Masato Umeda

10.3k citations
127 papers · 8.1k indexed · 3 hit papers · h-index 47

Impact in

  • Cell Biology top 0.2%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Lipid Membrane Structure and Behavior
    • Mitochondrial Function and Pathology
    • Sphingolipid Metabolism and Signaling

Papers in

Masato Umeda

125 papers receiving 8.0k citations

Hit Papers

Upregulated function of mitochondria-associated ER membranes in Alzheimer disease 2012 · 515 citations
5152006202620122019200400600

Peers

Masato Umeda
Comparison fields: 5 of 146
  • Cell Biology 2.2k
  • Molecular Biology 5.4k
  • Biochemistry 554
  • Physiology 1.4k
  • Immunology 1.1k
Replace Yoshio Hirabayashi with:
Yoshio Hirabayashi Japan
Britta Brügger Germany
Marilyn D. Resh United States
Toshihide Kobayashi Japan
Robert N. Cole United States
Masafumi Tsujimoto Japan
Vesa M. Olkkonen Finland
Ineke Braakman Netherlands
Akio Kihara Japan
Timothy E. McGraw United States
Masato Umeda relative to Yoshio Hirabayashi Japan Yoshio Hirabayashi's profile →
Citations per field
00.5×1.7×
Yoshio Hirabayashi · 1×
Citations per year

Countries citing papers authored by Masato Umeda

Since Specialization
Citations

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

Fields of papers citing papers by Masato Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202225
2 20179
3 201518
4 20139
5 201241
6 201135
7 200955
8 200764
9 20062
10 200411
11 2004211
12 200347
13 2003108
14 2002112
15 200018
16 200053
17 199116
18 19901
19 199024
20 199021

About Masato Umeda

Masato Umeda is a scholar working on Cell Biology, Biochemistry, Molecular Biology, Aging and Immunology, having authored 127 papers that have together received 8.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (45 papers), Cellular transport and secretion (32 papers), Erythrocyte Function and Pathophysiology (22 papers), Phagocytosis and Immune Regulation (13 papers), Lipid metabolism and biosynthesis (11 papers), RNA Interference and Gene Delivery (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Cell Biology (2.2k citations), Molecular Biology (5.4k citations), Biochemistry (554 citations), Physiology (1.4k citations) and Immunology (1.1k citations). Masato Umeda has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Kazuo Emoto, Keizo Inoue, Peter J. Sims, Jun Suzuki, Shigekazu Nagata, Toshihide Kobayashi, Junichi Ikenouchi, Utako Kato, Theresa M. Allen and Luis B. Agellon. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Biochemistry, FEBS Letters, Genes to Cells and Chemical and Pharmaceutical Bulletin.

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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