Abinash Virk

3.4k citations
86 papers · 1.9k indexed · 1 hit paper · h-index 22

Abinash Virk

82 papers receiving 1.8k citations

Hit Papers

Evidence-Based Strategies for Clinical Organizations to A...218202020262022202450100150200

Peers

Abinash Virk
Comparison fields: 5 of 133
  • Health 457
  • Infectious Diseases 754
  • Modeling and Simulation 147
  • Applied Microbiology and Biotechnology 54
  • Obstetrics and Gynecology 160
Replace Marta Luisa Ciofi degli Atti with:
Marta Luisa Ciofi degli Atti Italy
Fehmı Tabak Türkiye
Debra Blog United States
Khitam Muhsen Israel
Holly A. Hill United States
Rosa Prato Italy
Meera Chand United Kingdom
Cameron R. Wolfe United States
Edwin J. Asturias United States
Tom Snelling Australia
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Citations per field
00.5×3.2×
Marta Luisa Ciofi degli Atti · 1×
Citations per year

Countries citing papers authored by Abinash Virk

Since Specialization
Citations

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

Fields of papers citing papers by Abinash Virk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20234
5 20235
6 20231
7 202211
8 20228
9 2021112
10 20208
11 20156
12 201218
13 200958
14 20098
15 200913
16 20078
17 20077
18 20065
19 200110
20 20012

About Abinash Virk

Abinash Virk is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Parasitology, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Vaccine Coverage and Hesitancy (10 papers), COVID-19 Clinical Research Studies (8 papers), Antibiotic Use and Resistance (8 papers), Infective Endocarditis Diagnosis and Management (8 papers), Orthopedic Infections and Treatments (7 papers) and Travel-related health issues (6 papers). The work is most often cited by research in Health (457 citations), Infectious Diseases (754 citations) and Modeling and Simulation (147 citations). Abinash Virk has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Melanie D. Swift, James M. Steckelberg, Elie F. Berbari, Larry M. Baddour, Daniel Z. Uslan, Douglas R. Osmon, Todd J. Kowalski, John Wilson, Nancy L. Wengenack and Jennifer L. Ridgeway. Their work appears in journals such as Mayo Clinic Proceedings, Clinical Infectious Diseases, Open Forum Infectious Diseases, Travel Medicine and Infectious Disease and JAMA Network Open.

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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