Komal Arora

3.1k citations
47 papers · 2.0k · 1 hit paper · h-index 19

Impact in

Papers in

Komal Arora

46 papers receiving 2.0k citations

Komal Arora's Hit Papers

Revisiting Cardiac Cellular Composition 2016 · 1.0k citations
1.0k0+3+6Years since publication2505007501000

Peers

Komal Arora
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 582
  • Infectious Diseases 313
  • Neurology 167
  • Molecular Biology 815
  • Surgery 420
Replace Hans Duimel with:
Hans Duimel Netherlands
Colin E. Evans United States
Liming Zhang China
Guifu Wu China
Johnson Rajasingh United States
Weizhong Gu China
Heming Wu China
Takashi Minowa Japan
Vimal Patel United States
Na Wei China
Komal Arora relative to Hans Duimel Netherlands Hans Duimel's profile →
Citations per field
00.5×2×3×3.9×
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-authors

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

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Revisiting Cardiac Cellular Composition
Hit paper breakdown →
20161045
2 2021166
3 2020125
4 201269
5 201269
6 201054
7 201941
8 201141
9 201938
10 202234
11 201933
12 202230
13 202124
14 201324
15 202123
16 201822
17 201722
18 201520
19 202118
20 201216

About Komal Arora

Komal Arora is a scholar working on Infectious Diseases, Molecular Biology, Pharmacology, Public Health, Environmental and Occupational Health and Physiology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Mosquito-borne diseases and control (6 papers), Alzheimer's disease research and treatments (5 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (582 citations), Infectious Diseases (313 citations), Neurology (167 citations), Molecular Biology (815 citations) and Surgery (420 citations). Komal Arora has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Michelle D. Tallquist, Michelle L. D’Antoni, Malina J. Ivey, Jill T. Kuwabara, Lina Wang, Anjana Chandran, Alexander R. Pinto, Alexei Ilinykh, Ryan J. Debuque and Nadia Rosenthal. Their work appears in journals such as Viruses, Journal of Biological Chemistry, Human Pathology, Archives of Pathology & Laboratory Medicine and Journal of Virology.

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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