Yuan-Lin Dong
- Obstetrics and Gynecology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Physiology
- Co-authors
- Chandra YallampalliPandu R. GangulaMadhu ChauhanGary D.V. HankinsSharon H. NelsonOdd S. SteinslandYu WangFang Li
- Topics
- Neuropeptides and Animal Physiology (7 papers)Pregnancy and preeclampsia studies (5 papers)Reproductive System and Pregnancy (4 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthCellular and Molecular Neuroscience
- Journals
- Circulation ResearchThe Journal of Clinical Endocrinology & MetabolismAmerican Journal of Obstetrics and Gynecology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Yuan-Lin Dong
16 papers receiving 548 citations
Peers
Comparison fields: 5 of 73
- Obstetrics and Gynecology 200
- Pediatrics, Perinatology and Child Health 147
- Cellular and Molecular Neuroscience 127
- Immunology 112
- Physiology 110
Countries citing papers authored by Yuan-Lin Dong
This map shows the geographic impact of Yuan-Lin Dong'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 Yuan-Lin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan-Lin Dong more than expected).
Fields of papers citing papers by Yuan-Lin Dong
This network shows the impact of papers produced by Yuan-Lin Dong. 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 Yuan-Lin Dong. The network helps show where Yuan-Lin Dong may publish in the future.
Co-authorship network of co-authors of Yuan-Lin Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-Lin Dong. A scholar is included among the top collaborators of Yuan-Lin Dong 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 Yuan-Lin Dong. Yuan-Lin Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 33 | |
| 5 | 31 | |
| 6 | 15 | |
| 7 | 54 | |
| 8 | 28 | |
| 9 | 53 | |
| 10 | 27 | |
| 11 | 38 | |
| 12 | 129 | |
| 13 | 80 | |
| 14 | 33 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 2 |
About Yuan-Lin Dong
Yuan-Lin Dong is a scholar working on Obstetrics and Gynecology, Cellular and Molecular Neuroscience and Immunology, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Pregnancy and preeclampsia studies (5 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Obstetrics and Gynecology (200 citations), Pediatrics, Perinatology and Child Health (147 citations) and Cellular and Molecular Neuroscience (127 citations). Yuan-Lin Dong has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Chandra Yallampalli, Pandu R. Gangula, Madhu Chauhan, Gary D.V. Hankins, Sharon H. Nelson, Odd S. Steinsland, Yu Wang, Fang Li, Li Fang and Sunil J. Wimalawansa. Their work appears in journals such as Circulation Research, The Journal of Clinical Endocrinology & Metabolism and American Journal of Obstetrics and Gynecology.
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.