Tianyanxin Sun
- Pediatrics, Perinatology and Child Health top 10%
- Obstetrics and Gynecology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Immunology
- Co-authors
- Francisco J. DíazTania L GonzalezMargareta D. PisarskaMelissa E. PeplingCharles R. FarberErica T. WangStephen S. RichBora Lee
- Topics
- Pregnancy and preeclampsia studies (7 papers)Assisted Reproductive Technology and Twin Pregnancy (3 papers)Hippo pathway signaling and YAP/TAZ (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismFertility and SterilityBiology of Reproduction
- Partner nations
- United StatesGermany
In The Last Decade
Tianyanxin Sun
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 52
- Pediatrics, Perinatology and Child Health 152
- Obstetrics and Gynecology 140
- Molecular Biology 72
- Public Health, Environmental and Occupational Health 69
- Immunology 44
Countries citing papers authored by Tianyanxin Sun
This map shows the geographic impact of Tianyanxin 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 Tianyanxin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyanxin Sun more than expected).
Fields of papers citing papers by Tianyanxin Sun
This network shows the impact of papers produced by Tianyanxin 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 Tianyanxin Sun. The network helps show where Tianyanxin Sun may publish in the future.
Co-authorship network of co-authors of Tianyanxin Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyanxin Sun. A scholar is included among the top collaborators of Tianyanxin Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianyanxin Sun. Tianyanxin Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 37 | |
| 4 | 48 | |
| 5 | 31 | |
| 6 | 11 | |
| 7 | 107 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | The Roles of Hippo Signaling Pathway in Mouse Ovarian Function | 2 |
| 11 | 34 |
About Tianyanxin Sun
Tianyanxin Sun is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Obstetrics and Gynecology (140 citations), Pediatrics, Perinatology and Child Health (152 citations) and Reproductive Medicine (36 citations). Tianyanxin Sun has collaborated with scholars based in United States and Germany. Frequent co-authors include Francisco J. Díaz, Tania L Gonzalez, Margareta D. Pisarska, Melissa E. Pepling, Charles R. Farber, Erica T. Wang, Stephen S. Rich, Bora Lee, Stephen Turner and Alexander F. Koeppel. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and Biology of Reproduction.
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.