Eva Pradhan

438 citations
8 papers · 88 · h-index 4

Impact in

  • Microbiology top 10%
    • Bacterial Infections and Vaccines
    • Vaccine Coverage and Hesitancy

Papers in

    • Pneumonia and Respiratory Infections 3
    • Infective Endocarditis Diagnosis and Management 1
    • Bacterial Infections and Vaccines 3

Eva Pradhan

8 papers receiving 86 citations

Peers

Eva Pradhan
Comparison fields: 5 of 28
  • Microbiology 55
  • Health 22
  • Endocrinology 10
  • Epidemiology 63
  • Infectious Diseases 18
Replace Lionel Martellet with:
Lionel Martellet India
K Fabiánová Czechia
Flavien Aké Burkina Faso
N. Ben Jaballah France
Olaolu Aderinola Nigeria
Carl Griffin United States
Absatou Ky Ba Burkina Faso
Fatima Aït El Belghiti France
Karolina Gullsby Sweden
Vinny Smith United States
Eva Pradhan relative to Lionel Martellet India Lionel Martellet's profile →
Citations per field
00.5×
Lionel Martellet · 1×
Citations per year

Countries citing papers authored by Eva Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201857
2 201910
3 20206
4 20155
5 20153
6 20163
7 20142
8 20182

About Eva Pradhan

Eva Pradhan is a scholar working on Epidemiology, Microbiology, Infectious Diseases, General Health Professions and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 88 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Bacterial Infections and Vaccines (3 papers), Nosocomial Infections in ICU (1 paper), Food Security and Health in Diverse Populations (1 paper), Legionella and Acanthamoeba research (1 paper), Antifungal resistance and susceptibility (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Microbiology (55 citations), Health (22 citations), Endocrinology (10 citations), Epidemiology (63 citations) and Infectious Diseases (18 citations). Eva Pradhan has collaborated with scholars based in United States. Frequent co-authors include Amanda E. Faulkner, Tami H. Skoff, Kathy Kudish, Stacey W. Martin, Karen Edge, Stepy Thomas, Francis P. Boscoe, Ebony S. Thomas, Tracy Pondo and Cynthia Kenyon. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, Public Health Reports and Preventing Chronic Disease.

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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