Uddipak Rai

23 total papers · 434 total citations
11 papers, 344 citations indexed

About

Uddipak Rai is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Uddipak Rai has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Epidemiology. Recurrent topics in Uddipak Rai's work include Diet, Metabolism, and Disease (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Uddipak Rai is often cited by papers focused on Diet, Metabolism, and Disease (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Uddipak Rai collaborates with scholars based in India, United States and Hong Kong. Uddipak Rai's co-authors include Swati Prakash, Ramoji Kosuru, Sanjay Singh, Sanjay Singh, Zhengyuan Xia, Vinod K. Tiwari, Hareram Birla, Surya Pratap Singh, Dhirodatta Senapati and Sanjay Singh and has published in prestigious journals such as Life Sciences, European Journal of Pharmacology and Biochimie.

In The Last Decade

Uddipak Rai

11 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Uddipak Rai 161 61 60 59 54 11 344
Swati Prakash 156 1.0× 60 1.0× 61 1.0× 60 1.0× 56 1.0× 14 338
Xinhong Guo 188 1.2× 43 0.7× 68 1.1× 54 0.9× 42 0.8× 14 391
Dongmei Qin 184 1.1× 40 0.7× 55 0.9× 85 1.4× 28 0.5× 21 374
Zahra Arab Sadeghabadi 146 0.9× 59 1.0× 82 1.4× 66 1.1× 61 1.1× 19 346
Wenjiang Cao 175 1.1× 43 0.7× 59 1.0× 44 0.7× 22 0.4× 7 347
Hussain Aldera 139 0.9× 33 0.5× 64 1.1× 42 0.7× 59 1.1× 20 362
Razia Sultana Mohammad 150 0.9× 103 1.7× 78 1.3× 50 0.8× 38 0.7× 10 360
Glaucy Rodrigues de Araújo 115 0.7× 49 0.8× 60 1.0× 30 0.5× 51 0.9× 22 380
Youngyi Lee 153 1.0× 60 1.0× 80 1.3× 98 1.7× 41 0.8× 11 365
Wei-Jen Ting 145 0.9× 39 0.6× 83 1.4× 57 1.0× 25 0.5× 16 346

Countries citing papers authored by Uddipak Rai

Since Specialization
Citations

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

Fields of papers citing papers by Uddipak Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uddipak Rai. 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 Uddipak Rai. The network helps show where Uddipak Rai may publish in the future.

Co-authorship network of co-authors of Uddipak Rai

This figure shows the co-authorship network connecting the top 25 collaborators of Uddipak Rai. A scholar is included among the top collaborators of Uddipak Rai 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 Uddipak Rai. Uddipak Rai 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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