Deepam Thomas

23 papers receiving 1.6k citations

Deepam Thomas's Hit Papers

Incidence of Multisystem Inflammatory Syndrome in Children Among US Persons Infected With SARS-CoV-2 2021 · 285 citations
2850+2+4Years since publication100200300400500

Peers

Deepam Thomas
Comparison fields: 5 of 111
  • Infectious Diseases 496
  • Obstetrics and Gynecology 140
  • Surgery 692
  • Modeling and Simulation 63
  • Health 72
Replace Anita Verma with:
Anita Verma United Kingdom
Conor P. Doherty United Kingdom
Hailing Chang China
Alicia Demirjian United Kingdom
Louisa Pollock United Kingdom
Erin K. Stokes United States
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Miguel Lanaspa Spain
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Citations per field
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Citations per year

Countries citing papers authored by Deepam Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Deepam Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepam Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepam Thomas Line = papers co-authored together Deepam Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19–Associated Multisystem Inflammatory Syndrome in Children — United States, March–July 2020
Hit paper breakdown →
2020577
2
Incidence of Multisystem Inflammatory Syndrome in Children Among US Persons Infected With SARS-CoV-2
Hit paper breakdown →
2021285
3 2020197
4 2020121
5 202090
6 202185
7 201975
8 201930
9 202124
10 202421
11 202221
12 202220
13 202118
14 202217
15 202211
16 20249
17 20197
18 20205
19 20235
20 20254

About Deepam Thomas

Deepam Thomas is a scholar working on Infectious Diseases, Endocrinology, Neurology, Food Science and Biotechnology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Neurological disorders and treatments (3 papers), Infection Control and Ventilation (2 papers), Escherichia coli research studies (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Infectious Diseases (496 citations), Obstetrics and Gynecology (140 citations), Surgery (692 citations), Modeling and Simulation (63 citations) and Health (72 citations). Deepam Thomas has collaborated with scholars based in United States, Canada and Mongolia. Frequent co-authors include Molly M. Leeper, Katherine Lamba, D’Ann L. Williams, Rashida Hassan, Enoma O. Omoregie, Laura B. Gieraltowski, Brooke M. Whitney, Louise Francois Watkins, Meseret G. Birhane and Hayat Caidi. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Clinical Infectious Diseases, Journal of Food Protection, Open Forum Infectious Diseases and Emerging 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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