Rajeev Gautam

3.1k citations
46 papers · 1.8k indexed · h-index 24

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Rajeev Gautam

46 papers receiving 1.8k citations

Peers

Rajeev Gautam
Comparison fields: 5 of 67
  • Virology 1.5k
  • Immunology 932
  • Infectious Diseases 717
  • Microbiology 105
  • Epidemiology 463
Replace Maria G. Salazar with:
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Ingrid Karlsson Denmark
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Marguerite Koutsoukos Belgium
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Citations per field
00.5×1.5×2.4×
Maria G. Salazar · 1×
Citations per year

Countries citing papers authored by Rajeev Gautam

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Gautam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20236
3 202215
4 20213
5 202037
6 201857
7 201883
8 201629
9 2016219
10 201221
11 201235
12 201160
13 201024
14 200898
15 200821
16 2007192
17 20068
18
Molecular typing of Indian isolates of Pasteurella multocida serogroup-A from different animal species
20064
19
Molecular detection and characterization of Indian isolates of Pasteurella multocida serogroup ‘D’
20041
20
Isolation of Chlamydia psittaci from genitalia of healthy exotic and crossbred service rams
20012

About Rajeev Gautam

Rajeev Gautam is a scholar working on Virology, Microbiology, Immunology, Infectious Diseases and Animal Science and Zoology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Immune Cell Function and Interaction (17 papers), HIV/AIDS Research and Interventions (10 papers), HIV/AIDS drug development and treatment (8 papers), Microbial infections and disease research (8 papers), Herpesvirus Infections and Treatments (7 papers), T-cell and B-cell Immunology (6 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Virology (1.5k citations), Immunology (932 citations), Infectious Diseases (717 citations), Microbiology (105 citations) and Epidemiology (463 citations). Rajeev Gautam has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Cristian Apetrei, Ivona Pandrea, Malcolm A. Martin, Yoshiaki Nishimura, Ruy M. Ribeiro, Thaidra Gaufin, Alicia Buckler‐White, Michel C. Nussenzweig, Reza Sadjadpour and Anna Gazumyan. Their work appears in journals such as Journal of Virology, The Journal of Immunology, Retrovirology, Nature and PLoS Pathogens.

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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