Ming Sang
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Geriatrics and Gerontology top 5%
Papers in
-
- Insect Resistance and Genetics 6
- Biochemical and Structural Characterization 4
- Immunology 15
- interferon and immune responses 4
- Immune Response and Inflammation 4
- Immune Cell Function and Interaction 4
- Co-authors
- Chengjun Li (9 shared papers)Wei Wu (7 shared papers)Bin Li (7 shared papers)Xiaodong Sun (14 shared papers)Lixia Xie (10 shared papers)Yi Zhu (1 shared paper)Aifen Li (1 shared paper)Tao Li (1 shared paper)
- Journals
- Frontiers in Microbiology (3 papers)International Journal of Molecular Medicine (3 papers)Protein Expression and Purification (3 papers)Gene (3 papers)Journal of Ethnopharmacology (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ming Sang
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Microbiology 104
- Geriatrics and Gerontology 46
- Insect Science 139
- Cellular and Molecular Neuroscience 173
- Molecular Biology 642
Countries citing papers authored by Ming Sang
This map shows the geographic impact of Ming Sang'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 Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Sang more than expected).
Fields of papers citing papers by Ming Sang
This network shows the impact of papers produced by Ming Sang. 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 Sang. The network helps show where Ming Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Sang, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 168 | |
| 2 | 2020 | 83 | |
| 3 | 2016 | 55 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 52 | |
| 6 | 2022 | 45 | |
| 7 | 2013 | 45 | |
| 8 | 2020 | 44 | |
| 9 | 2010 | 43 | |
| 10 | 2020 | 42 | |
| 11 | 2013 | 42 | |
| 12 | 2014 | 42 | |
| 13 | 2016 | 42 | |
| 14 | 2013 | 40 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 33 | |
| 17 | 2021 | 30 | |
| 18 | 2021 | 27 | |
| 19 | 2013 | 26 | |
| 20 | 2015 | 24 |
About Ming Sang
Ming Sang is a scholar working on Molecular Biology, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Plant Science, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Insect Resistance and Genetics (6 papers), Antimicrobial Peptides and Activities (5 papers), interferon and immune responses (4 papers), Immune Response and Inflammation (4 papers), Bacteriophages and microbial interactions (4 papers), Biochemical and Structural Characterization (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Microbiology (104 citations), Geriatrics and Gerontology (46 citations), Insect Science (139 citations), Cellular and Molecular Neuroscience (173 citations) and Molecular Biology (642 citations). Ming Sang has collaborated with scholars based in China, United States and France. Frequent co-authors include Chengjun Li, Wei Wu, Bin Li, Xiaodong Sun, Lixia Xie, Yi Zhu, Aifen Li, Tao Li, Jiexia Liu and Chengwu Zhang. Their work appears in journals such as Frontiers in Microbiology, International Journal of Molecular Medicine, Protein Expression and Purification, Gene and Journal of Ethnopharmacology.
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.