Shweta Pai

43 total papers · 431 total citations
14 papers, 338 citations indexed

About

Shweta Pai is a scholar working on Oncology, Epidemiology and Cancer Research. According to data from OpenAlex, Shweta Pai has authored 14 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Shweta Pai's work include Pancreatic and Hepatic Oncology Research (3 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Shweta Pai is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Shweta Pai collaborates with scholars based in United States, Spain and India. Shweta Pai's co-authors include Shinichi Yabuuchi, Manuel Hidalgo, N.V. Rajeshkumar, Anirban Maitra, Elizabeth De Oliveira, Mirte Mayke Streppel, Nathaniel R. Campbell, Zeshaan A. Rasheed, Preethi Korangath and Roeland F. de Wilde and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Clinical Cancer Research.

In The Last Decade

Shweta Pai

14 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Shweta Pai	205	163	123	38	34	14	338
Kun Xu	256 1.2×	104 0.6×	164 1.3×	28 0.7×	23 0.7×	18	399
K Ashihara	200 1.0×	138 0.8×	141 1.1×	37 1.0×	36 1.1×	16	403
Shixiong Jiang	296 1.4×	120 0.7×	142 1.2×	35 0.9×	27 0.8×	18	402
Yasser Abuetabh	230 1.1×	132 0.8×	81 0.7×	52 1.4×	21 0.6×	18	362
Carla Kantara	159 0.8×	135 0.8×	90 0.7×	30 0.8×	46 1.4×	14	329
Shaohan Wu	189 0.9×	97 0.6×	109 0.9×	39 1.0×	29 0.9×	20	316
Tianlin He	157 0.8×	115 0.7×	85 0.7×	50 1.3×	23 0.7×	22	303
C. Vanesa Díaz-García	179 0.9×	110 0.7×	121 1.0×	47 1.2×	29 0.9×	18	328
Ruiqi Lu	147 0.7×	122 0.7×	91 0.7×	33 0.9×	19 0.6×	23	294
Sau Wai Hung	256 1.2×	199 1.2×	166 1.3×	32 0.8×	23 0.7×	9	393

Countries citing papers authored by Shweta Pai

Since Specialization

Citations

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

Fields of papers citing papers by Shweta Pai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Pai

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