Nitasha Kumar

899 citations
18 papers · 666 · 1 hit paper · h-index 13

Impact in

Papers in

    • HIV Research and Treatment 12
    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 detection and testing 1
    • SARS-CoV-2 and COVID-19 Research 1

Nitasha Kumar

18 papers receiving 654 citations

Nitasha Kumar's Hit Papers

Tissue-based T cell activation and viral RNA persist for up to 2 years after SARS-CoV-2 infection 2024 · 65 citations
650+1Years since publication204060

Peers

Nitasha Kumar
Comparison fields: 5 of 31
  • Virology 364
  • Neurology 57
  • Infectious Diseases 61
  • Immunology 22
  • Oncology 16
Replace Thomas A. Premeaux with:
Thomas A. Premeaux United States
Michelle Y.-H. Lee Australia
Renaud Cezar France
Jeff Milush United States
Timothy N. Hoang United States
Max Emanuel Liebl Germany
María Reyes Jiménez‐León Spain
Hui-Huang Huang China
Dominic R. Beal United States
Irene Bukh Brody United States
Nitasha Kumar relative to Thomas A. Premeaux United States Thomas A. Premeaux's profile →
Citations per field
00.5×5×10.5×
Thomas A. Premeaux · 1×
Citations per year

Countries citing papers authored by Nitasha Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nitasha Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nitasha Kumar, 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 Nitasha Kumar Line = papers co-authored together Nitasha Kumar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201884
2 201181
3 202173
4 201365
5
Tissue-based T cell activation and viral RNA persist for up to 2 years after SARS-CoV-2 infection
Hit paper breakdown →
202465
6 202047
7 202247
8 201644
9 202044
10 201528
11 201819
12 202117
13 202414
14 201813
15 202412
16 20169
17 20222
18 20242

About Nitasha Kumar

Nitasha Kumar is a scholar working on Virology, Infectious Diseases, Neurology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 18 papers that have together received 666 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 detection and testing (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Virology (364 citations), Neurology (57 citations), Infectious Diseases (61 citations), Immunology (22 citations) and Oncology (16 citations). Nitasha Kumar has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Julia Bergild McBrien, Paul U. Cameron, Sharon R. Lewin, Vanessa A. Evans, Ann Chahroudi, Suha M. Saleh, Fiona Wightman, Rafick‐Pierre Sékaly, Damian F. J. Purcell and Gabriela Khoury. Their work appears in journals such as Nature Communications, Retrovirology, PLoS Pathogens, PLoS ONE and The Journal of Immunology.

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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