Ramana Uppoor
- Pediatrics, Perinatology and Child Health top 10%
- Pharmaceutical Science top 5%
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Pharmacology top 5%
- Co-authors
- Patrick MarroumNatalie D. EddingtonLarry L. AugsburgerVeneeta TandonYaning WangMehul U. MehtaTiffany FarchioneMinesh P. Mehta
- Topics
- Pharmaceutical studies and practices (13 papers)Health Systems, Economic Evaluations, Quality of Life (8 papers)Statistical Methods in Clinical Trials (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPEDIATRICSPharmaceutical Research
- Partner nations
- United StatesThailandIndia
In The Last Decade
Ramana Uppoor
24 papers receiving 503 citations
Peers
Comparison fields: 5 of 100
- Pediatrics, Perinatology and Child Health 185
- Pharmaceutical Science 107
- Economics and Econometrics 98
- Statistics and Probability 90
- Pharmacology 89
Countries citing papers authored by Ramana Uppoor
This map shows the geographic impact of Ramana Uppoor'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 Ramana Uppoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramana Uppoor more than expected).
Fields of papers citing papers by Ramana Uppoor
This network shows the impact of papers produced by Ramana Uppoor. 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 Ramana Uppoor. The network helps show where Ramana Uppoor may publish in the future.
Co-authorship network of co-authors of Ramana Uppoor
This figure shows the co-authorship network connecting the top 25 collaborators of Ramana Uppoor. A scholar is included among the top collaborators of Ramana Uppoor 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 Ramana Uppoor. Ramana Uppoor 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 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 19 | |
| 14 | 25 | |
| 15 | 18 | |
| 16 | 114 | |
| 17 | 95 | |
| 18 | 28 | |
| 19 | 44 | |
| 20 | 62 |
About Ramana Uppoor
Ramana Uppoor is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 26 papers that have together received 531 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (13 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Pharmaceutical Science (107 citations), Statistics and Probability (90 citations) and Pharmacology (89 citations). Ramana Uppoor has collaborated with scholars based in United States, Thailand and India. Frequent co-authors include Patrick Marroum, Natalie D. Eddington, Larry L. Augsburger, Veneeta Tandon, Yaning Wang, Mehul U. Mehta, Tiffany Farchione, Minesh P. Mehta, Mitchell Mathis and Hao Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Pharmaceutical Research.
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.