Uday P. Pratap

163 total papers · 1.2k total citations
49 papers, 672 citations indexed

About

Uday P. Pratap is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Uday P. Pratap has authored 49 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Uday P. Pratap's work include Estrogen and related hormone effects (16 papers), Stress Responses and Cortisol (8 papers) and Menopause: Health Impacts and Treatments (8 papers). Uday P. Pratap is often cited by papers focused on Estrogen and related hormone effects (16 papers), Stress Responses and Cortisol (8 papers) and Menopause: Health Impacts and Treatments (8 papers). Uday P. Pratap collaborates with scholars based in United States, India and China. Uday P. Pratap's co-authors include Ratna K. Vadlamudi, Gangadhara R. Sareddy, Rajeshwar R. Tekmal, Darrell W. Brann, Yujiao Lu, Srinivasan ThyagaRajan, Quanguang Zhang, Hannah P. Priyanka, Fu‐Lei Tang and Jing Wang and has published in prestigious journals such as Journal of Neuroscience, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Uday P. Pratap

43 papers receiving 662 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Uday P. Pratap 255 152 116 102 81 49 672
Olga Pernía 268 1.1× 111 0.7× 200 1.7× 102 1.0× 173 2.1× 25 768
Ling Xiao 152 0.6× 153 1.0× 46 0.4× 108 1.1× 119 1.5× 47 713
Seiji Muro 214 0.8× 102 0.7× 48 0.4× 184 1.8× 127 1.6× 38 778
Saumyendra N. Sarkar 324 1.3× 180 1.2× 101 0.9× 92 0.9× 46 0.6× 22 679
Miklós Sárvári 212 0.8× 152 1.0× 90 0.8× 130 1.3× 123 1.5× 28 685
Lan N. Tu 416 1.6× 67 0.4× 92 0.8× 97 1.0× 30 0.4× 34 758
Elaine S. Coleman 274 1.1× 61 0.4× 68 0.6× 124 1.2× 38 0.5× 26 784
Pauline Gaignard 348 1.4× 67 0.4× 69 0.6× 41 0.4× 54 0.7× 35 669
Ye Liu 410 1.6× 58 0.4× 71 0.6× 96 0.9× 26 0.3× 35 772
Teresa Jover‐Mengual 269 1.1× 169 1.1× 162 1.4× 168 1.6× 44 0.5× 27 771

Countries citing papers authored by Uday P. Pratap

Since Specialization
Citations

This map shows the geographic impact of Uday P. Pratap'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 Uday P. Pratap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uday P. Pratap more than expected).

Fields of papers citing papers by Uday P. Pratap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday P. Pratap. 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 Uday P. Pratap. The network helps show where Uday P. Pratap may publish in the future.

Co-authorship network of co-authors of Uday P. Pratap

This figure shows the co-authorship network connecting the top 25 collaborators of Uday P. Pratap. A scholar is included among the top collaborators of Uday P. Pratap 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 Uday P. Pratap. Uday P. Pratap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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