Suchitra Rao

178 total papers · 5.3k total citations
63 papers, 1.3k citations indexed

About

Suchitra Rao is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Suchitra Rao has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 20 papers in Infectious Diseases and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Suchitra Rao's work include Influenza Virus Research Studies (24 papers), Respiratory viral infections research (21 papers) and Pneumonia and Respiratory Infections (13 papers). Suchitra Rao is often cited by papers focused on Influenza Virus Research Studies (24 papers), Respiratory viral infections research (21 papers) and Pneumonia and Respiratory Infections (13 papers). Suchitra Rao collaborates with scholars based in United States, Canada and India. Suchitra Rao's co-authors include Robert L. Garcea, Michael Wang, Samuel R. Dominguez, Karen M. Wilson, Eric A. F. Simões, Kevin Messacar, Angela Moss, Isaac Armistead, Nisha B. Alden and Thomas Luke and has published in prestigious journals such as The Lancet, JAMA and Nature Communications.

In The Last Decade

Suchitra Rao

55 papers receiving 1.3k citations

Hit Papers

Seroepidemiology of Human... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Suchitra Rao 603 434 397 298 263 63 1.3k
Seweryn Bialasiewicz 617 1.0× 430 1.0× 763 1.9× 551 1.8× 267 1.0× 60 1.7k
Rebecca J. Rockett 368 0.6× 173 0.4× 189 0.5× 316 1.1× 116 0.4× 54 1.2k
Debasish Saha 138 0.2× 86 0.2× 211 0.5× 417 1.4× 65 0.2× 58 1.3k
Antonio Boschini 280 0.5× 112 0.3× 716 1.8× 471 1.6× 40 0.2× 40 1.5k
Pamela Vallely 305 0.5× 146 0.3× 540 1.4× 266 0.9× 71 0.3× 35 1.1k
Joseph Timpone 301 0.5× 117 0.3× 408 1.0× 732 2.5× 39 0.1× 36 1.6k
Renato Maserati 217 0.4× 121 0.3× 381 1.0× 979 3.3× 67 0.3× 104 1.7k
Lars Haukali Omland 330 0.5× 89 0.2× 927 2.3× 673 2.3× 22 0.1× 96 1.8k
Jérôme LeGoff 296 0.5× 93 0.2× 1.1k 2.8× 647 2.2× 44 0.2× 98 1.7k
Marcus R. Pereira 250 0.4× 73 0.2× 693 1.7× 721 2.4× 50 0.2× 63 1.5k

Countries citing papers authored by Suchitra Rao

Since Specialization
Citations

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

Fields of papers citing papers by Suchitra Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suchitra Rao

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