Ravendra Garg

1.2k citations
44 papers · 994 · h-index 20

Impact in

Papers in

Ravendra Garg

43 papers receiving 973 citations

Peers

Ravendra Garg
Comparison fields: 5 of 75
  • Epidemiology 490
  • Public Health, Environmental and Occupational Health 361
  • Immunology 266
  • Parasitology 82
  • Infectious Diseases 178
Replace Bráulia Costa Caetano with:
Bráulia Costa Caetano Brazil
Roberta Galbo Italy
Salvatore Papasergi Italy
Christopher S. Eickhoff United States
Sandra Koernig Australia
Teena Mohan India
Sérgio Arruda Brazil
Pavel Svoboda United States
Meral Esen Germany
Keer Sun United States
Ravendra Garg relative to Bráulia Costa Caetano Brazil Bráulia Costa Caetano's profile →
Citations per field
00.5×1.6×
Bráulia Costa Caetano · 1×
Citations per year

Countries citing papers authored by Ravendra Garg

Since Specialization
Citations

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

Fields of papers citing papers by Ravendra Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Animal models for vaccine studies for visceral leishmaniasis.
200695
2 201988
3 201261
4 200854
5 200550
6 200649
7 201439
8 202036
9 200534
10 201333
11 201733
12 200928
13 201526
14 201226
15 201524
16 201424
17 201523
18 200421
19 200421
20 201820

About Ravendra Garg

Ravendra Garg is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Immunology and Infectious Diseases, having authored 44 papers that have together received 994 indexed citations. Recurring topics across this work include Respiratory viral infections research (17 papers), Research on Leishmaniasis Studies (13 papers), Neonatal Respiratory Health Research (11 papers), Trypanosoma species research and implications (9 papers), Pneumonia and Respiratory Infections (9 papers), Viral gastroenteritis research and epidemiology (5 papers), Parasites and Host Interactions (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Epidemiology (490 citations), Public Health, Environmental and Occupational Health (361 citations), Immunology (266 citations), Parasitology (82 citations) and Infectious Diseases (178 citations). Ravendra Garg has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Sylvia van Drunen Littel‐van den Hurk, Anuradha Dube, Volker Gerdts, Andrew Potter, L. Latimer, Michel J. Tremblay, Shyam Sundar, S. Naik, Robert Brownlie and Elemir Simko. Their work appears in journals such as Vaccine, Antiviral Research, Journal of General Virology, Expert Review of Vaccines and Clinical & Experimental 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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