Lalit Dar

4.5k citations
102 papers · 2.9k · h-index 29

Impact in

Papers in

    • Respiratory viral infections research 15
    • Cervical Cancer and HPV Research 9
    • Cytomegalovirus and herpesvirus research 8
    • Influenza Virus Research Studies 6
    • Viral Infections and Vectors 13

Lalit Dar

95 papers receiving 2.7k citations

Peers

Lalit Dar
Comparison fields: 5 of 122
  • Infectious Diseases 1.2k
  • Public Health, Environmental and Occupational Health 1.0k
  • Epidemiology 988
  • Modeling and Simulation 83
  • Otorhinolaryngology 61
Replace C. Buddy Creech with:
C. Buddy Creech United States
Pasquale Pagliano Italy
Arthur J. Morris New Zealand
George M. Varghese India
Hsin Chi Taiwan
Hee‐Chang Jang South Korea
Valeria Ghisetti Italy
Raúl Istúriz United States
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Lalit Dar relative to C. Buddy Creech United States C. Buddy Creech's profile →
Citations per field
00.5×3.2×
C. Buddy Creech · 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-authors

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

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008261
2 2006219
3 2009161
4 2017148
5 1999137
6 2009121
7 2000106
8 2015101
9
Serodiagnosis of dengue during an outbreak at a tertiary care hospital in Delhi.
200592
10 200981
11 200276
12 200872
13 202067
14 200061
15 199658
16 201354
17 201548
18 200246
19 200645
20 201243

About Lalit Dar

Lalit Dar is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Surgery and Physiology, having authored 102 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (18 papers), Respiratory viral infections research (15 papers), Viral Infections and Vectors (13 papers), Cervical Cancer and HPV Research (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Malaria Research and Control (7 papers), Influenza Virus Research Studies (6 papers) and Syphilis Diagnosis and Treatment (5 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Public Health, Environmental and Occupational Health (1.0k citations), Epidemiology (988 citations), Modeling and Simulation (83 citations) and Otorhinolaryngology (61 citations). Lalit Dar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shobha Broor, Ekta Gupta, Harendra Singh Chahar, Preeti Bharaj, 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 Microbiology, PLoS ONE and International Journal of Gynecological Pathology.

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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