Masato Umeda
Impact in
- Cell Biology top 0.2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 1%
- Lipid Membrane Structure and Behavior
- Mitochondrial Function and Pathology
- Sphingolipid Metabolism and Signaling
Papers in
- Cell Biology 44
- Cellular transport and secretion 32
- Biochemistry 11
- Lipid metabolism and biosynthesis 11
- Co-authors
- Kazuo EmotoKeizo InouePeter J. SimsJun SuzukiShigekazu NagataToshihide KobayashiJunichi IkenouchiUtako Kato
- Journals
- Journal of Biological Chemistry (23 papers)The Journal of Biochemistry (15 papers)FEBS Letters (4 papers)Genes to Cells (3 papers)Chemical and Pharmaceutical Bulletin (3 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Masato Umeda
125 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cell Biology 2.2k
- Molecular Biology 5.4k
- Biochemistry 554
- Physiology 1.4k
- Immunology 1.1k
Countries citing papers authored by Masato Umeda
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 25 | |
| 2 | 2017 | 9 | |
| 3 | 2015 | 18 | |
| 4 | 2013 | 9 | |
| 5 | 2012 | 41 | |
| 6 | 2011 | 35 | |
| 7 | 2009 | 55 | |
| 8 | 2007 | 64 | |
| 9 | 2006 | 2 | |
| 10 | 2004 | 11 | |
| 11 | 2004 | 211 | |
| 12 | 2003 | 47 | |
| 13 | 2003 | 108 | |
| 14 | 2002 | 112 | |
| 15 | 2000 | 18 | |
| 16 | 2000 | 53 | |
| 17 | 1991 | 16 | |
| 18 | 1990 | 1 | |
| 19 | 1990 | 24 | |
| 20 | 1990 | 21 |
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.