Sandeep Tyagi

103 total papers · 7.3k total citations
68 papers, 4.6k citations indexed

About

Sandeep Tyagi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Sandeep Tyagi has authored 68 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Infectious Diseases, 39 papers in Epidemiology and 29 papers in Molecular Biology. Recurrent topics in Sandeep Tyagi's work include Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (22 papers). Sandeep Tyagi is often cited by papers focused on Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (22 papers). Sandeep Tyagi collaborates with scholars based in United States, India and France. Sandeep Tyagi's co-authors include William R. Bishai, J Grosset, Eric L. Nuermberger, Kathy N. Williams, Saurabh Sharma, Paras Gupta, Deepak V. Almeida, Ian M. Rosenthal, Tetsuyuki Yoshimatsu and Rokeya Tasneen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Sandeep Tyagi

65 papers receiving 4.5k citations

Hit Papers

The peroxisome proliferat... 2011 2026 2016 2021 2011 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Sandeep Tyagi 3.2k 2.6k 1.7k 923 479 68 4.6k
Anne J. Lenaerts 3.2k 1.0× 2.3k 0.9× 1.9k 1.1× 699 0.8× 428 0.9× 93 4.9k
Melvin Spigelman 2.5k 0.8× 1.8k 0.7× 1.1k 0.6× 779 0.8× 363 0.8× 43 3.7k
Nacer Lounis 4.4k 1.4× 3.3k 1.2× 2.3k 1.3× 1.0k 1.1× 670 1.4× 59 5.8k
Robert C. Cooksey 1.7k 0.5× 2.1k 0.8× 2.7k 1.5× 1.1k 1.2× 355 0.7× 109 7.2k
Christophe Guilhot 4.2k 1.3× 3.7k 1.4× 2.2k 1.3× 771 0.8× 662 1.4× 85 5.8k
Khisimuzi Mdluli 2.3k 0.7× 1.7k 0.6× 1.6k 0.9× 447 0.5× 539 1.1× 43 3.4k
Ken Duncan 3.0k 0.9× 2.4k 0.9× 1.8k 1.1× 583 0.6× 524 1.1× 52 4.7k
Catherine Vilchèze 3.6k 1.1× 2.6k 1.0× 3.3k 1.9× 620 0.7× 860 1.8× 85 6.3k
Françoise Laval 1.9k 0.6× 1.8k 0.7× 2.3k 1.3× 375 0.4× 357 0.7× 108 5.0k
Kyu Y. Rhee 2.8k 0.9× 1.9k 0.7× 3.2k 1.8× 348 0.4× 663 1.4× 116 5.4k

Countries citing papers authored by Sandeep Tyagi

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Tyagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Tyagi

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