Wang-Mei Qi
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
Papers in
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- Gut microbiota and health 6
- Glycosylation and Glycoproteins Research 3
- Cell death mechanisms and regulation 2
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- Immune Response and Inflammation 6
- Co-authors
- Nobuhiko Hoshi (23 shared papers)Toshifumi YOKOYAMA (23 shared papers)Katsuhiko Warita (10 shared papers)Hiroshi Kitagawa (8 shared papers)Hiroshi Kitagawa (14 shared papers)Junichi KAWANO (11 shared papers)Kankanam Gamage Sanath Udayanga (12 shared papers)Takashi Tanida (2 shared papers)
- Journals
- Journal of Veterinary Medical Science (20 papers)Toxicology Letters (1 paper)PLoS ONE (1 paper)PubMed (2 papers)
In The Last Decade
Wang-Mei Qi
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 73
- Microbiology 48
- Health, Toxicology and Mutagenesis 88
- Endocrinology 26
- Developmental Neuroscience 17
- Immunology 87
Countries citing papers authored by Wang-Mei Qi
This map shows the geographic impact of Wang-Mei Qi'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 Wang-Mei Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang-Mei Qi more than expected).
Fields of papers citing papers by Wang-Mei Qi
This network shows the impact of papers produced by Wang-Mei Qi. 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 Wang-Mei Qi. The network helps show where Wang-Mei Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang-Mei Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 100 | |
| 2 | 2018 | 18 | |
| 3 | 2008 | 18 | |
| 4 | 2009 | 18 | |
| 5 | 2007 | 17 | |
| 6 | 2008 | 16 | |
| 7 | 2006 | 16 | |
| 8 | 2009 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2007 | 13 | |
| 11 | 2011 | 12 | |
| 12 | 2006 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2010 | 11 | |
| 15 | 2007 | 11 | |
| 16 | 2007 | 9 | |
| 17 | 2009 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2011 | 4 | |
| 20 | 2015 | 4 |
About Wang-Mei Qi
Wang-Mei Qi is a scholar working on Molecular Biology, Immunology, Food Science, Surgery and Cell Biology, having authored 24 papers that have together received 346 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (8 papers), Gut microbiota and health (6 papers), Immune Response and Inflammation (6 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Antimicrobial Peptides and Activities (3 papers), Digestive system and related health (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Microbiology (48 citations), Health, Toxicology and Mutagenesis (88 citations), Endocrinology (26 citations), Developmental Neuroscience (17 citations) and Immunology (87 citations). Wang-Mei Qi has collaborated with scholars based in Japan and China. Frequent co-authors include Nobuhiko Hoshi, Toshifumi YOKOYAMA, Katsuhiko Warita, Hiroshi Kitagawa, Hiroshi Kitagawa, Junichi KAWANO, Kankanam Gamage Sanath Udayanga, Takashi Tanida, Yoshiaki Tabuchi and Takashi Nanmori. Their work appears in journals such as Journal of Veterinary Medical Science, Toxicology Letters, PLoS ONE and PubMed.
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.