Madhu Vajpayee

1.5k citations
70 papers · 937 · h-index 18

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • Tuberculosis Research and Epidemiology

Papers in

    • HIV Research and Treatment 43
    • HIV/AIDS Research and Interventions 23
    • HIV/AIDS drug development and treatment 9
    • Tuberculosis Research and Epidemiology 6

Madhu Vajpayee

67 papers receiving 869 citations

Peers

Madhu Vajpayee
Comparison fields: 5 of 85
  • Virology 354
  • Infectious Diseases 448
  • Ophthalmology 112
  • Immunology 241
  • Epidemiology 327
Replace Jeffrey B. Greene with:
Jeffrey B. Greene United States
Dominique Rouvroy Rwanda
M Mounier France
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Citations per field
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Jeffrey B. Greene · 1×
Citations per year

Countries citing papers authored by Madhu Vajpayee

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Vajpayee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200363
2 200061
3 201052
4 200536
5 201135
6 200734
7 200634
8 201033
9 199927
10 201125
11 200425
12
Dengue virus infection during post-epidemic period in Delhi, India.
199925
13 201123
14 201220
15
Comparative evaluation of various commercial assays for diagnosis of dengue fever.
200119
16 199818
17 201217
18 201717
19
Infectious crystalline keratopathy.
200017
20 200716

About Madhu Vajpayee

Madhu Vajpayee is a scholar working on Virology, Infectious Diseases, Immunology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 70 papers that have together received 937 indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), HIV/AIDS Research and Interventions (23 papers), Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), HIV/AIDS drug development and treatment (9 papers), Tuberculosis Research and Epidemiology (6 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). The work is most often cited by research in Virology (354 citations), Infectious Diseases (448 citations), Ophthalmology (112 citations), Immunology (241 citations) and Epidemiology (327 citations). Madhu Vajpayee has collaborated with scholars based in India, United States and Canada. Frequent co-authors include P Seth, Kamalika Mojumdar, Naveet Wig, Neeraj Chauhan, Ravinder Singh, Sunita Kanswal, Alpana Singh, Rasik B. Vajpayee, Namrata Sharma and Shobha Broor. Their work appears in journals such as BMC Infectious Diseases, The Indian Journal of Medical Research, Journal of Medical Virology, Vaccine and Clinical Immunology.

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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