Ming Tan
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Physiology and Cultivation Studies
Papers in
-
- Plant Reproductive Biology 10
-
- Plant Molecular Biology Research 9
- Plant Physiology and Cultivation Studies 7
- Polysaccharides and Plant Cell Walls 3
- Co-authors
- Hui Song (8 shared papers)Jianyong Xu (8 shared papers)Dong Zhang (8 shared papers)Guofang Li (11 shared papers)Juanjuan Ma (8 shared papers)Mingyu Han (8 shared papers)Joanne N. Engel (1 shared paper)Xiaojie Liu (7 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)BMC Genomics (2 papers)Molecular Genetics and Genomics (1 paper)Cell Death Discovery (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Ming Tan
32 papers receiving 679 citations
Peers
Comparison fields: 5 of 75
- Microbiology 137
- Plant Science 310
- Biotechnology 66
- Molecular Biology 446
- Nutrition and Dietetics 41
Countries citing papers authored by Ming Tan
This map shows the geographic impact of Ming Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tan more than expected).
Fields of papers citing papers by Ming Tan
This network shows the impact of papers produced by Ming Tan. 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 Tan. The network helps show where Ming Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Tan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 168 | |
| 2 | 2016 | 62 | |
| 3 | 2018 | 53 | |
| 4 | 2019 | 46 | |
| 5 | 1996 | 41 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 25 | |
| 11 | 2021 | 20 | |
| 12 | 2018 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2018 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2010 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2024 | 8 |
About Ming Tan
Ming Tan is a scholar working on Molecular Biology, Plant Science, Biotechnology, Immunology and Epidemiology, having authored 36 papers that have together received 690 indexed citations. Recurring topics across this work include Plant Reproductive Biology (10 papers), Plant Molecular Biology Research (9 papers), Plant Physiology and Cultivation Studies (7 papers), Enzyme Production and Characterization (6 papers), Hepatitis B Virus Studies (4 papers), Polysaccharides and Plant Cell Walls (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Microbiology (137 citations), Plant Science (310 citations), Biotechnology (66 citations), Molecular Biology (446 citations) and Nutrition and Dietetics (41 citations). Ming Tan has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Hui Song, Jianyong Xu, Dong Zhang, Guofang Li, Juanjuan Ma, Mingyu Han, Joanne N. Engel, Xiaojie Liu, Na An and Caiping Zhao. Their work appears in journals such as International Journal of Molecular Sciences, BMC Genomics, Molecular Genetics and Genomics, Cell Death Discovery and Journal of Agricultural and Food Chemistry.
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.