Congshan Sun
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Muscle Physiology and Disorders 5
- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 3
- Renal and related cancers 2
-
- Birth, Development, and Health 5
- Co-authors
- Tom P. Fleming (5 shared papers)Kathryn R. Wagner (5 shared papers)Gabsang Lee (3 shared papers)Neil Smyth (3 shared papers)Carlo Serra (3 shared papers)Miguel A. Velazquez (2 shared papers)Adam J. Watkins (2 shared papers)Henning Wackerhage (3 shared papers)
- Journals
- JCI Insight (2 papers)Experimental Neurology (1 paper)Stem Cells (1 paper)Reproduction Fertility and Development (1 paper)Cells (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Congshan Sun
14 papers receiving 518 citations
Peers
Comparison fields: 5 of 66
- Obstetrics and Gynecology 68
- Cell Biology 142
- Pediatrics, Perinatology and Child Health 132
- Molecular Biology 334
- Genetics 31
Countries citing papers authored by Congshan Sun
This map shows the geographic impact of Congshan 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 Congshan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congshan Sun more than expected).
Fields of papers citing papers by Congshan Sun
This network shows the impact of papers produced by Congshan 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 Congshan Sun. The network helps show where Congshan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Congshan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2019 | 76 | |
| 3 | 2015 | 63 | |
| 4 | 2019 | 52 | |
| 5 | 2014 | 48 | |
| 6 | 2015 | 36 | |
| 7 | 2016 | 36 | |
| 8 | 2016 | 30 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 7 |
About Congshan Sun
Congshan Sun is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Cell Biology, Surgery and Obstetrics and Gynecology, having authored 14 papers that have together received 526 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Muscle Physiology and Disorders (5 papers), Pluripotent Stem Cells Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Epigenetics and DNA Methylation (3 papers), Pregnancy and preeclampsia studies (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Obstetrics and Gynecology (68 citations), Cell Biology (142 citations), Pediatrics, Perinatology and Child Health (132 citations), Molecular Biology (334 citations) and Genetics (31 citations). Congshan Sun has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Tom P. Fleming, Kathryn R. Wagner, Gabsang Lee, Neil Smyth, Carlo Serra, Miguel A. Velazquez, Adam J. Watkins, Henning Wackerhage, Vanessa D. de Mello and Peter S. Zammit. Their work appears in journals such as JCI Insight, Experimental Neurology, Stem Cells, Reproduction Fertility and Development 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.