Lalit Dar

4.4k citations
101 papers · 2.7k indexed · h-index 28

Impact in

Papers in

    • Viral Infections and Vectors 17
    • SARS-CoV-2 and COVID-19 Research 7
    • Respiratory viral infections research 19
    • Cervical Cancer and HPV Research 10
    • Influenza Virus Research Studies 9
    • Cytomegalovirus and herpesvirus research 9

Lalit Dar

95 papers receiving 2.6k citations

Peers

Lalit Dar
Comparison fields: 5 of 120
  • Infectious Diseases 1.4k
  • Public Health, Environmental and Occupational Health 1.1k
  • Epidemiology 1.1k
  • Modeling and Simulation 99
  • Parasitology 106
Replace Hee‐Chang Jang with:
Hee‐Chang Jang South Korea
Chuan‐Liang Kao Taiwan
Valeria Ghisetti Italy
George M. Varghese India
Rangarajan Sampath United States
Elitza S. Theel United States
Jien-Wei Liu Taiwan
Alexander J. McAdam United States
Ali A. Sultan Qatar
Mohammed N. Al‐Ahdal Saudi Arabia
Lalit Dar relative to Hee‐Chang Jang South Korea Hee‐Chang Jang's profile →
Citations per field
00.5×
Hee‐Chang Jang · 1×
Citations per year

Countries citing papers authored by Lalit Dar

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Dar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20231
4 20231
5 202216
6 202117
7 20216
8 202121
9 202130
10 20203
11 202010
12 202026
13 201547
14 201227
15 201029
16 200867
17 20031
18 200240
19 1999131
20 199218

About Lalit Dar

Lalit Dar is a scholar working on Infectious Diseases, Epidemiology, Virology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Respiratory viral infections research (19 papers), Mosquito-borne diseases and control (19 papers), Viral Infections and Vectors (17 papers), Malaria Research and Control (12 papers), Cervical Cancer and HPV Research (10 papers), Influenza Virus Research Studies (9 papers), Cytomegalovirus and herpesvirus research (9 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Public Health, Environmental and Occupational Health (1.1k citations), Epidemiology (1.1k citations), Modeling and Simulation (99 citations) and Parasitology (106 citations). Lalit Dar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shobha Broor, Ekta Gupta, Preeti Bharaj, Harendra Singh Chahar, P Seth, Randeep Guleria, Geetanjali Kapoor, S. K. Kabra, Samander Kaushik and Anubhav Pandey. Their work appears in journals such as Emerging infectious diseases, Virology Journal, Journal of Clinical Virology, Influenza and Other Respiratory Viruses and Journal of Clinical Microbiology.

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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2026