Arun Kumar Nalla

5.0k citations
26 papers · 2.9k · 1 hit paper · h-index 19

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Protease and Inhibitor Mechanisms 7

Arun Kumar Nalla

26 papers receiving 2.9k citations

Arun Kumar Nalla's Hit Papers

Covid-19 in Critically Ill Patients in the Seattle Region — Case Series 2020 · 1.7k citations
1.7k0+2+4Years since publication50010001.5k

Peers

Arun Kumar Nalla
Comparison fields: 5 of 132
  • Infectious Diseases 1.7k
  • Critical Care and Intensive Care Medicine 277
  • Neurology 784
  • Applied Microbiology and Biotechnology 41
  • Modeling and Simulation 88
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Citations per field
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Citations per year

Countries citing papers authored by Arun Kumar Nalla

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kumar Nalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covid-19 in Critically Ill Patients in the Seattle Region — Case Series
Hit paper breakdown →
20201717
2 2020303
3 2020117
4 2010103
5 202082
6 201164
7 201358
8 201153
9 202050
10 201447
11 201147
12 201246
13 202044
14 201535
15 201227
16 202027
17 201126
18 201226
19 201124
20 202017

About Arun Kumar Nalla

Arun Kumar Nalla is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Critical Care and Intensive Care Medicine (277 citations), Neurology (784 citations), Applied Microbiology and Biotechnology (41 citations) and Modeling and Simulation (88 citations). Arun Kumar Nalla has collaborated with scholars based in United States. Frequent co-authors include Alexander L. Greninger, Keith R. Jerome, Mark M. Wurfel, T. Eoin West, Richard Kim, Jason D. Goldman, Michelle Nichols, Laura Evans, Andrew M. Luks and Carmen Mikacenic. Their work appears in journals such as Journal of Clinical Virology, Cancer Research, Molecular Carcinogenesis, Molecular Oncology and Neoplasia.

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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