Dipesh Davé

654 citations
15 papers · 356 · h-index 10

Impact in

    • Tuberculosis Research and Epidemiology
    • Viral Infections and Vectors
  • Microbiology top 10%
    • Microbial infections and disease research

Papers in

Dipesh Davé

14 papers receiving 349 citations

Peers

Dipesh Davé
Comparison fields: 5 of 31
  • Infectious Diseases 296
  • Microbiology 57
  • Agronomy and Crop Science 84
  • Epidemiology 211
  • Immunology 116
Replace Deanna Dalley with:
Deanna Dalley United Kingdom
Tara Fitzsimons Ireland
Ahmed El Idrissi Italy
Sreenidhi Srinivasan United States
A.J. Thomson New Zealand
Denise Keen New Zealand
Tuija Koivula Sweden
Wynand J. Goosen South Africa
Carly Kanipe United States
Nai‐Huei Wu Germany
Dipesh Davé relative to Deanna Dalley United Kingdom Deanna Dalley's profile →
Citations per field
00.5×3.4×
Deanna Dalley · 1×
Citations per year

Countries citing papers authored by Dipesh Davé

Since Specialization
Citations

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

Fields of papers citing papers by Dipesh Davé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200764
2 200657
3 201149
4 201736
5 201134
6 202028
7 200720
8 201919
9 202016
10 201810
11 20209
12 20225
13 20205
14 20234
15 20250

About Dipesh Davé

Dipesh Davé is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Surgery, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (9 papers), Immune responses and vaccinations (8 papers), vaccines and immunoinformatics approaches (4 papers), Immune Response and Inflammation (2 papers), Bacterial Identification and Susceptibility Testing (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (296 citations), Microbiology (57 citations), Agronomy and Crop Science (84 citations), Epidemiology (211 citations) and Immunology (116 citations). Dipesh Davé has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Mark A. Chambers, Deanna Dalley, Sandrine Lesellier, R. Glyn Hewinson, T. Crawshaw, Francisco J. Salguero, Sandrine Lesellier, Linda K. Johnson, Ana Balseiro and Roland T. Ashford. Their work appears in journals such as Vaccine, Preventive Veterinary Medicine, Frontiers in Cellular and Infection Microbiology, Frontiers in Veterinary Science and Tuberculosis.

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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