Ming‐an Sun
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
-
- Epigenetics and DNA Methylation 17
- RNA modifications and cancer 15
- Genomics and Phylogenetic Studies 8
- Genomics and Chromatin Dynamics 8
- RNA and protein synthesis mechanisms 5
- Cancer-related gene regulation 5
- RNA Research and Splicing 4
- Co-authors
- Yejun Wang (14 shared papers)William E. Paul (2 shared papers)Yuefeng Huang (2 shared papers)Dianjing Guo (5 shared papers)Joseph F. Urban (1 shared paper)Weizhe Li (1 shared paper)Kairui Mao (1 shared paper)Jinfang Zhu (1 shared paper)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (4 papers)BMC Genomics (4 papers)mSystems (2 papers)Cells (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming‐an Sun
65 papers receiving 1.9k citations
Ming‐an Sun's Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 566
- Molecular Biology 845
- Surgery 380
- Plant Science 238
- Endocrinology 32
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 69 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 | 473 |
| 2 | 2017 | 179 | |
| 3 | 2011 | 99 | |
| 4 | 2020 | 79 | |
| 5 | 2016 | 76 | |
| 6 | 2015 | 63 | |
| 7 | 2012 | 61 | |
| 8 | 2018 | 58 | |
| 9 | 2017 | 45 | |
| 10 | 2018 | 44 | |
| 11 | 2017 | 43 | |
| 12 | 2017 | 37 | |
| 13 | 2018 | 35 | |
| 14 | 2023 | 33 | |
| 15 | 2017 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2009 | 32 | |
| 18 | 2016 | 31 | |
| 19 | 2017 | 29 | |
| 20 | 2023 | 27 |
About Ming‐an Sun
Ming‐an Sun is a scholar working on Molecular Biology, Cancer Research, Animal Science and Zoology, Genetics and Pediatrics, Perinatology and Child Health, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), RNA modifications and cancer (15 papers), Genomics and Phylogenetic Studies (8 papers), Genomics and Chromatin Dynamics (8 papers), Chromosomal and Genetic Variations (7 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related gene regulation (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Immunology (566 citations), Molecular Biology (845 citations), Surgery (380 citations), Plant Science (238 citations) and Endocrinology (32 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, Joseph F. Urban, Weizhe Li, Kairui Mao, Jinfang Zhu, Takeshi Kawabe and Xi Chen. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Genomics, mSystems and Cells.
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.