Ming‐an Sun
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Endocrinology top 10%
Papers in
-
- RNA modifications and cancer 9
- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
-
- Chromosomal and Genetic Variations 5
- Mycotoxins in Agriculture and Food 4
- Co-authors
- Yejun Wang (12 shared papers)Dianjing Guo (9 shared papers)William E. Paul (2 shared papers)Yuefeng Huang (2 shared papers)Jinfang Zhu (1 shared paper)Kairui Mao (1 shared paper)Takeshi Kawabe (1 shared paper)Ronald N. Germain (1 shared paper)
- Journals
- Bioinformatics (3 papers)Antioxidants (3 papers)PLoS ONE (3 papers)Cells (2 papers)Science (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming‐an Sun
46 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 515
- Endocrinology 65
- Molecular Biology 707
- Surgery 369
- Plant Science 226
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 50 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 | 412 |
| 2 | 2017 | 167 | |
| 3 | 2011 | 95 | |
| 4 | 2020 | 73 | |
| 5 | 2017 | 60 | |
| 6 | 2012 | 56 | |
| 7 | 2018 | 54 | |
| 8 | 2017 | 45 | |
| 9 | 2009 | 44 | |
| 10 | 2012 | 41 | |
| 11 | 2018 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 31 | |
| 15 | 2017 | 31 | |
| 16 | 2021 | 30 | |
| 17 | 2017 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2023 | 25 |
About Ming‐an Sun
Ming‐an Sun is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Mycotoxins in Agriculture and Food (4 papers), Probiotics and Fermented Foods (3 papers), Animal Virus Infections Studies (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology (515 citations), Endocrinology (65 citations), Molecular Biology (707 citations), Surgery (369 citations) and Plant Science (226 citations). Ming‐an Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yejun Wang, Dianjing Guo, William E. Paul, Yuefeng Huang, Jinfang Zhu, Kairui Mao, Takeshi Kawabe, Ronald N. Germain, Joseph F. Urban and Weizhe Li. Their work appears in journals such as Bioinformatics, Antioxidants, PLoS ONE, Cells and Science.
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.