Mingjun Sun
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
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- Pharmacological Effects and Toxicity Studies
Papers in ⓘ
- Epidemiology 10
- Preterm Birth and Chorioamnionitis 5
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- Circular RNAs in diseases 3
- Co-authors
- William Gibb (12 shared papers)Stephen G. Matthews (3 shared papers)Dora Baczyk (2 shared papers)John Kingdom (2 shared papers)Stephen J. Lye (1 shared paper)S. J. Lye (2 shared papers)Cong Dai (3 shared papers)Qin Cao (2 shared papers)
- Journals
- Placenta (4 papers)Journal of Endocrinology (3 papers)Cellular Reprogramming (1 paper)Scientific Reports (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Mingjun Sun
37 papers receiving 864 citations
Peers
Comparison fields: 5 of 91
- Obstetrics and Gynecology 174
- Pediatrics, Perinatology and Child Health 186
- Public Health, Environmental and Occupational Health 243
- Oncology 209
- Immunology 152
Countries citing papers authored by Mingjun Sun
This map shows the geographic impact of Mingjun 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 Mingjun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Sun more than expected).
Fields of papers citing papers by Mingjun Sun
This network shows the impact of papers produced by Mingjun 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 Mingjun Sun. The network helps show where Mingjun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 172 | |
| 2 | 2006 | 92 | |
| 3 | 2009 | 84 | |
| 4 | 1996 | 71 | |
| 5 | 1996 | 67 | |
| 6 | 1996 | 32 | |
| 7 | 2002 | 32 | |
| 8 | 2019 | 30 | |
| 9 | 1996 | 29 | |
| 10 | 2008 | 27 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2020 | 20 | |
| 15 | 2002 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2018 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2020 | 10 | |
| 20 | 2000 | 9 |
About Mingjun Sun
Mingjun Sun is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 871 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (5 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Cancer Genomics and Diagnostics (3 papers), Pregnancy and Medication Impact (3 papers), Estrogen and related hormone effects (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Pregnancy-related medical research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (174 citations), Pediatrics, Perinatology and Child Health (186 citations), Public Health, Environmental and Occupational Health (243 citations), Oncology (209 citations) and Immunology (152 citations). Mingjun Sun has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include William Gibb, Stephen G. Matthews, Dora Baczyk, John Kingdom, Stephen J. Lye, S. J. Lye, Cong Dai, Qin Cao, J. R. G. Challis and Yanfang Liu. Their work appears in journals such as Placenta, Journal of Endocrinology, Cellular Reprogramming, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.