Komal Arora

3.0k citations
44 papers · 1.9k indexed · 1 hit paper · h-index 18

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • COVID-19 Clinical Research Studies 4
    • Cholinesterase and Neurodegenerative Diseases 5

Komal Arora

41 papers receiving 1.9k citations

Hit Papers

Revisiting Cardiac Cellular Composition 2016 · 997 citations
9972016202620192022250500750

Peers

Komal Arora
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 610
  • Infectious Diseases 322
  • Molecular Biology 838
  • Neurology 171
  • Surgery 422
Replace Hans Duimel with:
Hans Duimel Netherlands
Liming Zhang China
Weizhong Gu China
Johnson Rajasingh United States
Heming Wu China
Xuejun Jiang China
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Yong Cao China
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Vimal Patel United States
Komal Arora relative to Hans Duimel Netherlands Hans Duimel's profile →
Citations per field
00.5×3.6×
Hans Duimel · 1×
Citations per year

Countries citing papers authored by Komal Arora

Since Specialization
Citations

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

Fields of papers citing papers by Komal Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 202232
4 20213
5 202124
6 202113
7 20218
8 2020118
9 20203
10 20206
11 201933
12 20175
13 20174
14
Revisiting Cardiac Cellular Composition
Hit paper breakdown →
2016997
15 201520
16 201254
17 201258
18 201138
19 20106
20 201050

About Komal Arora

Komal Arora is a scholar working on Infectious Diseases, Pharmacology, Urology, Physiology and Rheumatology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Mosquito-borne diseases and control (6 papers), Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (610 citations), Infectious Diseases (322 citations), Molecular Biology (838 citations), Neurology (171 citations) and Surgery (422 citations). Komal Arora has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Anjana Chandran, Michelle D. Tallquist, Ryan J. Debuque, Alexander R. Pinto, Nadia Rosenthal, Alexei Ilinykh, Michelle L. D’Antoni, Lina Wang, Jill T. Kuwabara and Malina J. Ivey. Their work appears in journals such as Viruses, Journal of Biological Chemistry, Human Pathology, Archives of Pathology & Laboratory Medicine and Scientific Reports.

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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