Pabitra Sahu

76 total papers · 777 total citations
39 papers, 467 citations indexed

About

Pabitra Sahu is a scholar working on Epidemiology, Genetics and Surgery. According to data from OpenAlex, Pabitra Sahu has authored 39 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Genetics and 16 papers in Surgery. Recurrent topics in Pabitra Sahu's work include Inflammatory Bowel Disease (23 papers), Microscopic Colitis (14 papers) and Tuberculosis Research and Epidemiology (6 papers). Pabitra Sahu is often cited by papers focused on Inflammatory Bowel Disease (23 papers), Microscopic Colitis (14 papers) and Tuberculosis Research and Epidemiology (6 papers). Pabitra Sahu collaborates with scholars based in India, United Kingdom and United States. Pabitra Sahu's co-authors include Saurabh Kedia, Sudheer K. Vuyyuru, Vineet Ahuja, Bhaskar Kante, Peeyush Kumar, Prasenjit Das, Govind Makharia, Mukesh Kumar Singh, Raju Sharma and Aditya Bajaj and has published in prestigious journals such as Gastroenterology, Gut and Scientific Reports.

In The Last Decade

Pabitra Sahu

34 papers receiving 460 citations

Hit Papers

Faecal microbiota transpl... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Pabitra Sahu 239 184 164 128 113 39 467
Peeyush Kumar 186 0.8× 155 0.8× 115 0.7× 115 0.9× 121 1.1× 42 435
Bhaskar Kante 235 1.0× 156 0.8× 161 1.0× 142 1.1× 119 1.1× 43 433
Raffi Lev‐Tzion 274 1.1× 157 0.9× 98 0.6× 73 0.6× 68 0.6× 33 443
Stephan Brackmann 309 1.3× 239 1.3× 157 1.0× 51 0.4× 138 1.2× 24 528
Nosratollah Naderi 162 0.7× 241 1.3× 90 0.5× 51 0.4× 97 0.9× 34 513
Holger Schäffler 128 0.5× 170 0.9× 80 0.5× 166 1.3× 216 1.9× 25 511
Cristina Cosco 118 0.5× 292 1.6× 90 0.5× 118 0.9× 58 0.5× 31 541
Vipin Gupta 176 0.7× 285 1.5× 164 1.0× 68 0.5× 58 0.5× 38 534
Marta Maia Boscá-Watts 257 1.1× 208 1.1× 203 1.2× 53 0.4× 83 0.7× 51 522
Mircea Mănuc 104 0.4× 169 0.9× 109 0.7× 46 0.4× 59 0.5× 53 438

Countries citing papers authored by Pabitra Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Pabitra Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pabitra Sahu

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