Ming‐an Sun
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Surgery top 10%
- Eosinophilic Esophagitis
Papers in
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- RNA modifications and cancer 9
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
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- Chromosomal and Genetic Variations 5
- Co-authors
- Yejun Wang (7 shared papers)William E. Paul (2 shared papers)Yuefeng Huang (2 shared papers)Dianjing Guo (5 shared papers)Weizhe Li (1 shared paper)Joseph F. Urban (1 shared paper)Takeshi Kawabe (1 shared paper)Ronald N. Germain (1 shared paper)
- Journals
- Bioinformatics (3 papers)Animals (2 papers)Antioxidants (2 papers)Nucleic Acids Research (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming‐an Sun
36 papers receiving 1.3k citations
Ming‐an Sun's Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 504
- Surgery 350
- Molecular Biology 518
- Endocrinology 24
- Plant Science 178
Countries citing papers authored by Ming‐an Sun
This map shows the geographic impact of Ming‐an Sun'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 Sun 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 Sun more than expected).
Fields of papers citing papers by Ming‐an Sun
This network shows the impact of papers produced by Ming‐an Sun. 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 Sun. The network helps show where Ming‐an Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐an Sun, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | S1P-dependent interorgan trafficking of group 2 innate lymphoid cells supports host defense Hit paper breakdown → | 2018 | 427 |
| 2 | 2017 | 169 | |
| 3 | 2011 | 95 | |
| 4 | 2020 | 76 | |
| 5 | 2012 | 56 | |
| 6 | 2018 | 54 | |
| 7 | 2017 | 46 | |
| 8 | 2017 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2021 | 30 | |
| 13 | 2017 | 29 | |
| 14 | 2023 | 28 | |
| 15 | 2023 | 25 | |
| 16 | 2016 | 19 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 11 |
About Ming‐an Sun
Ming‐an Sun is a scholar working on Molecular Biology, Plant Science, Pediatrics, Perinatology and Child Health, Cancer Research and Animal Science and Zoology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Chromosomal and Genetic Variations (5 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Prenatal Screening and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Immunology (504 citations), Surgery (350 citations), Molecular Biology (518 citations), Endocrinology (24 citations) and Plant Science (178 citations). Ming‐an Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yejun Wang, William E. Paul, Yuefeng Huang, Dianjing Guo, Weizhe Li, Joseph F. Urban, Takeshi Kawabe, Ronald N. Germain, Kairui Mao and Jinfang Zhu. Their work appears in journals such as Bioinformatics, Animals, Antioxidants, Nucleic Acids Research and BMC Genomics.
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.