Harsh Vardhan

911 citations
64 papers · 552 · h-index 14

Impact in

    • Reproductive tract infections research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research

Papers in

Harsh Vardhan

56 papers receiving 534 citations

Peers

Harsh Vardhan
Comparison fields: 5 of 119
  • Microbiology 120
  • Infectious Diseases 105
  • Parasitology 39
  • Transplantation 11
  • Immunology 87
Replace Brigitte Keller‐Stanislawski with:
Brigitte Keller‐Stanislawski Germany
Hye Ryoun Kim South Korea
Michael Keller Austria
Hwa Jin Cho South Korea
Li Yu China
Guido Scalia Italy
Young Jin Hong South Korea
Mark Pinches United Kingdom
F. Müller Denmark
Rose Gaines Das United Kingdom
Harsh Vardhan relative to Brigitte Keller‐Stanislawski Germany Brigitte Keller‐Stanislawski's profile →
Citations per field
00.5×6.5×
Brigitte Keller‐Stanislawski · 1×
Citations per year

Countries citing papers authored by Harsh Vardhan

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Vardhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201052
2 201752
3 201345
4 201542
5 201531
6 202224
7 201821
8 201121
9 200721
10 202019
11 200916
12 200916
13 202314
14 202114
15 201012
16 201111
17 202110
18 20099
19 20118
20 20098

About Harsh Vardhan

Harsh Vardhan is a scholar working on Infectious Diseases, Microbiology, Computer Vision and Pattern Recognition, Neurology and Epidemiology, having authored 64 papers that have together received 552 indexed citations. Recurring topics across this work include Reproductive tract infections research (11 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Renal Transplantation Outcomes and Treatments (4 papers), Chaos-based Image/Signal Encryption (4 papers), Long-Term Effects of COVID-19 (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Microbiology (120 citations), Infectious Diseases (105 citations), Parasitology (39 citations), Transplantation (11 citations) and Immunology (87 citations). Harsh Vardhan has collaborated with scholars based in India, Israel and United States. Frequent co-authors include Aruna Mittal, Sudha Salhan, Alexandre Cloutier, Patrick P. McDonald, François Simard, Rishein Gupta, Hem Chandra Jha, Claire M. Dubois, Rajneesh Jha and Narayan Prasad. Their work appears in journals such as DNA and Cell Biology, Reproductive Biology and Endocrinology, Photonics, Inflammation Research and Indian Journal of Anaesthesia.

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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