Uma Yallampalli
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Chandra YallampalliRebekah ElkinsMadhu ChauhanHaijun GaoMeena BalakrishnanRanjinidevi AmbalavanarDean DessemPomila Singh
- Topics
- Birth, Development, and Health (13 papers)Neuropeptides and Animal Physiology (12 papers)Pregnancy and preeclampsia studies (11 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthEndocrinology, Diabetes and Metabolism
- Partner nations
- United States
In The Last Decade
Uma Yallampalli
31 papers receiving 639 citations
Peers
Comparison fields: 5 of 76
- Pediatrics, Perinatology and Child Health 226
- Obstetrics and Gynecology 211
- Molecular Biology 174
- Endocrinology, Diabetes and Metabolism 154
- Physiology 141
Countries citing papers authored by Uma Yallampalli
This map shows the geographic impact of Uma Yallampalli'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 Uma Yallampalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Yallampalli more than expected).
Fields of papers citing papers by Uma Yallampalli
This network shows the impact of papers produced by Uma Yallampalli. 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 Uma Yallampalli. The network helps show where Uma Yallampalli may publish in the future.
Co-authorship network of co-authors of Uma Yallampalli
This figure shows the co-authorship network connecting the top 25 collaborators of Uma Yallampalli. A scholar is included among the top collaborators of Uma Yallampalli 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 Uma Yallampalli. Uma Yallampalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 33 | |
| 10 | 17 | |
| 11 | 54 | |
| 12 | 20 | |
| 13 | 25 | |
| 14 | 33 | |
| 15 | 63 | |
| 16 | 43 | |
| 17 | 3 | |
| 18 | 43 | |
| 19 | 31 | |
| 20 | 77 |
About Uma Yallampalli
Uma Yallampalli is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 646 indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Neuropeptides and Animal Physiology (12 papers) and Pregnancy and preeclampsia studies (11 papers). The work is most often cited by research in Obstetrics and Gynecology (211 citations), Pediatrics, Perinatology and Child Health (226 citations) and Endocrinology, Diabetes and Metabolism (154 citations). Uma Yallampalli has collaborated with scholars based in United States. Frequent co-authors include Chandra Yallampalli, Rebekah Elkins, Madhu Chauhan, Haijun Gao, Meena Balakrishnan, Ranjinidevi Ambalavanar, Dean Dessem, Pomila Singh, Xiaoyong Lu and Paul C. Schroy. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Neuroscience.
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.