Aparna Srinivasan

53 total papers · 1.1k total citations
30 papers, 793 citations indexed

About

Aparna Srinivasan is a scholar working on Immunology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aparna Srinivasan has authored 30 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Infectious Diseases and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aparna Srinivasan's work include Salmonella and Campylobacter epidemiology (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Immunotherapy and Immune Responses (5 papers). Aparna Srinivasan is often cited by papers focused on Salmonella and Campylobacter epidemiology (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Immunotherapy and Immune Responses (5 papers). Aparna Srinivasan collaborates with scholars based in United States, India and Singapore. Aparna Srinivasan's co-authors include Stephen J. McSorley, Joseph Foley, Rajesh Ravindran, Leo Lefrançois, Anthony T. Vella, Amanda M. Griffin, Brian C. Rymond, Rajwardhan Yadav, Jan Hendrik Niess and Thomas A. Stoklasek and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Immunity.

In The Last Decade

Aparna Srinivasan

29 papers receiving 770 citations

Hit Papers

An Accurate and Rapidly C... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Aparna Srinivasan 319 184 178 144 122 30 793
Lin Zhan 137 0.4× 44 0.2× 132 0.7× 134 0.9× 255 2.1× 37 776
Hanna K de Jong 196 0.6× 174 0.9× 153 0.9× 114 0.8× 163 1.3× 30 665
Yuanlin Xi 117 0.4× 66 0.4× 131 0.7× 111 0.8× 213 1.7× 43 787
Lulu Shao 186 0.6× 93 0.5× 319 1.8× 38 0.3× 247 2.0× 25 673
Yanfang Lu 269 0.8× 37 0.2× 141 0.8× 116 0.8× 273 2.2× 29 821
J Laufer 142 0.4× 145 0.8× 76 0.4× 49 0.3× 110 0.9× 41 644
Marie‐Hélène Ruchaud‐Sparagano 256 0.8× 50 0.3× 106 0.6× 149 1.0× 167 1.4× 21 648
J. K. S. Chia 139 0.4× 56 0.3× 169 0.9× 40 0.3× 77 0.6× 24 654
Carlos Muñoz 185 0.6× 61 0.3× 323 1.8× 69 0.5× 89 0.7× 36 738
Zhijie Lin 132 0.4× 100 0.5× 85 0.5× 45 0.3× 269 2.2× 62 692

Countries citing papers authored by Aparna Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Srinivasan

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

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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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