Megumi Sakuma
- Microbiology top 5%
- Bacterial Infections and Vaccines 3
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- Pneumonia and Respiratory Infections 3
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- Endoplasmic Reticulum Stress and Disease 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- Protein Kinase Regulation and GTPase Signaling 3
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- Nitric Oxide and Endothelin Effects 2
- Alzheimer's disease research and treatments 2
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- Animal testing and alternatives 2
- Co-authors
- Satoshi IwataMiyuki MorozumiNaoaki SaitoKimiko UbukataYasuhito ShiraiTakehiko UeyamaMichi ShoujiTakeshi Tajima
- Cited by
- MicrobiologyEpidemiologyCell Biology
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Biology of the Cell (2 papers)Emerging infectious diseases (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Megumi Sakuma
18 papers receiving 405 citations
Peers
Comparison fields: 5 of 72
- Microbiology 83
- Epidemiology 156
- Cell Biology 64
- Immunology 74
- Otorhinolaryngology 15
Countries citing papers authored by Megumi Sakuma
This map shows the geographic impact of Megumi Sakuma'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 Megumi Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megumi Sakuma more than expected).
Fields of papers citing papers by Megumi Sakuma
This network shows the impact of papers produced by Megumi Sakuma. 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 Megumi Sakuma. The network helps show where Megumi Sakuma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megumi Sakuma, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2020 | 12 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 8 | |
| 7 | 2018 | 89 | |
| 8 | 2018 | 43 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 65 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 15 | |
| 13 | 2012 | 23 | |
| 14 | 2011 | 10 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 32 | |
| 17 | 2009 | 12 | |
| 18 | 2008 | 13 | |
| 19 | 1990 | 3 |
About Megumi Sakuma
Megumi Sakuma is a scholar working on Microbiology, Dermatology and Small Animals, having authored 19 papers that have together received 410 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Bacterial Infections and Vaccines (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Alzheimer's disease research and treatments (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Microbiology (83 citations), Epidemiology (156 citations) and Cell Biology (64 citations). Megumi Sakuma has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Satoshi Iwata, Miyuki Morozumi, Naoaki Saito, Kimiko Ubukata, Yasuhito Shirai, Takehiko Ueyama, Michi Shouji, Takeshi Tajima, Takeaki Wajima and Naoko Chiba. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Emerging infectious diseases, Journal of Lipid Research and The Pediatric Infectious Disease Journal.
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.