Ming An
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
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- RNA Interference and Gene Delivery
- Lipid Membrane Structure and Behavior
- Advanced biosensing and bioanalysis techniques
- ATP Synthase and ATPases Research
Papers in ⓘ
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- RNA Interference and Gene Delivery 6
- Advanced biosensing and bioanalysis techniques 3
- ATP Synthase and ATPases Research 3
- Lipid Membrane Structure and Behavior 3
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Donald M. Engelman (4 shared papers)Oleg A. Andreev (2 shared papers)Yana K. Reshetnyak (2 shared papers)Lan Yao (7 shared papers)Dayanjali Wijesinghe (1 shared paper)Damien Thévenin (1 shared paper)Michael Chung (3 shared papers)Wei Qiang (4 shared papers)
- Journals
- Angewandte Chemie International Edition (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Chemical Communications (1 paper)Organic Letters (1 paper)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Ming An
25 papers receiving 594 citations
Peers
Comparison fields: 5 of 71
- Biomaterials 107
- Molecular Biology 448
- Microbiology 36
- Cancer Research 84
- Spectroscopy 54
Countries citing papers authored by Ming An
This map shows the geographic impact of Ming An'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 An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming An more than expected).
Fields of papers citing papers by Ming An
This network shows the impact of papers produced by Ming An. 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 An. The network helps show where Ming An may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming An, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 134 | |
| 2 | 2015 | 71 | |
| 3 | 2009 | 66 | |
| 4 | 2017 | 44 | |
| 5 | 2016 | 38 | |
| 6 | 2015 | 35 | |
| 7 | 2014 | 32 | |
| 8 | 2017 | 26 | |
| 9 | 2011 | 22 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2008 | 14 | |
| 13 | 2001 | 14 | |
| 14 | 2015 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2003 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2021 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2017 | 6 |
About Ming An
Ming An is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Oncology and Organic Chemistry, having authored 25 papers that have together received 601 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), ATP Synthase and ATPases Research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Cancer-related molecular mechanisms research (3 papers), Photoreceptor and optogenetics research (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Biomaterials (107 citations), Molecular Biology (448 citations), Microbiology (36 citations), Cancer Research (84 citations) and Spectroscopy (54 citations). Ming An has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Donald M. Engelman, Oleg A. Andreev, Yana K. Reshetnyak, Lan Yao, Dayanjali Wijesinghe, Damien Thévenin, Michael Chung, Wei Qiang, Paul A. Bartlett and Christof Grewer. Their work appears in journals such as Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Chemical Communications and Organic Letters.
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.