Ming Zou
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 17
- Genetics 14
- Genetic diversity and population structure 10
- Co-authors
- Shunping He (15 shared papers)Bao‐Tao Liu (11 shared papers)Baocheng Guo (10 shared papers)Hu Shan (3 shared papers)Siddhartha Thakur (2 shared papers)Qidi Zhang (6 shared papers)Beide Fu (3 shared papers)Shivaramu Keelara (1 shared paper)
- Journals
- PLoS ONE (4 papers)BMC Genomics (4 papers)Scientific Reports (4 papers)Molecular Biology and Evolution (3 papers)Neurobiology of Aging (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ming Zou
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Molecular Medicine 228
- Endocrinology 137
- Pollution 155
- Aquatic Science 92
- Food Science 171
Countries citing papers authored by Ming Zou
This map shows the geographic impact of Ming Zou'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 Ming Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zou more than expected).
Fields of papers citing papers by Ming Zou
This network shows the impact of papers produced by Ming Zou. 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 Ming Zou. The network helps show where Ming Zou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Zou, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 90 | |
| 2 | 2011 | 59 | |
| 3 | 2016 | 57 | |
| 4 | 2012 | 55 | |
| 5 | 2014 | 52 | |
| 6 | 2017 | 52 | |
| 7 | 2015 | 47 | |
| 8 | 2019 | 41 | |
| 9 | 2013 | 40 | |
| 10 | 2019 | 39 | |
| 11 | 2012 | 38 | |
| 12 | 2014 | 38 | |
| 13 | 2015 | 37 | |
| 14 | 2021 | 36 | |
| 15 | 2010 | 35 | |
| 16 | 2019 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2012 | 33 | |
| 19 | 2010 | 33 | |
| 20 | 2013 | 32 |
About Ming Zou
Ming Zou is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Plant Science and Food Science, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Antibiotic Resistance in Bacteria (12 papers), Salmonella and Campylobacter epidemiology (10 papers), Genetic diversity and population structure (10 papers), Chromosomal and Genetic Variations (9 papers), Respiratory viral infections research (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). The work is most often cited by research in Molecular Medicine (228 citations), Endocrinology (137 citations), Pollution (155 citations), Aquatic Science (92 citations) and Food Science (171 citations). Ming Zou has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shunping He, Bao‐Tao Liu, Baocheng Guo, Hu Shan, Siddhartha Thakur, Qidi Zhang, Beide Fu, Shivaramu Keelara, Xu Su and Ming Chen. Their work appears in journals such as PLoS ONE, BMC Genomics, Scientific Reports, Molecular Biology and Evolution and Neurobiology of Aging.
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.