Aditya Shah

2.3k citations
70 papers · 1.3k indexed · 1 hit paper · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (8 papers)SARS-CoV-2 detection and testing (7 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaClinical Infectious Diseases

In The Last Decade

Aditya Shah

59 papers receiving 1.3k citations

Hit Papers

The Disproportionate Impact of COVID-19 on Racial and Eth...20202026202220242020250500750

Peers

Aditya Shah
Comparison fields: 5 of 142
  • Clinical Psychology 338
  • Infectious Diseases 336
  • General Health Professions 278
  • Health 205
  • Sociology and Political Science 178
Replace Claudia Marotta with:
Claudia Marotta Italy
Elissa M. Abrams Canada
Jasmine R Marcelin United States
Don Bambino Geno Tai United States
Muhammad Junaid Tahir Pakistan
Androula Pavli Greece
Amanda Kvalsvig New Zealand
Michaela Diercke Germany
Mohammad S Razai United Kingdom
Chyongchiou J. Lin United States
Aditya Shah relative to Claudia Marotta Italy Claudia Marotta's profile →
Citations per field
00.5×
Claudia Marotta · 1×
Citations per year

Countries citing papers authored by Aditya Shah

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Shah

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 1
5 0
6 2
7 1
8 0
9 1
10 1
11 25
12 45
13 6
14 1
15 2
16 26
17 6
18 4
19 5
20 5

About Aditya Shah

Aditya Shah is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (8 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Health (205 citations) and Applied Microbiology and Biotechnology (37 citations). Aditya Shah has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Irene G. Sia, Mark L. Wieland, Chyke A. Doubeni, Don Bambino Geno Tai, John C. O’Horo, Priya Sampathkumar, Douglas W. Challener, Ryan W. Stevens, Rahul Kashyap and Pritish K. Tosh. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

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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