Eva Pradhan

24 total papers · 434 total citations
8 papers, 87 citations indexed

About

Eva Pradhan is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Eva Pradhan has authored 8 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Microbiology and 2 papers in Infectious Diseases. Recurrent topics in Eva Pradhan's work include Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (3 papers) and Legionella and Acanthamoeba research (1 paper). Eva Pradhan is often cited by papers focused on Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (3 papers) and Legionella and Acanthamoeba research (1 paper). Eva Pradhan collaborates with scholars based in United States. Eva Pradhan's co-authors include Karen Edge, Stepy Thomas, Amanda E. Faulkner, Kathy Kudish, Tami H. Skoff, Stacey W. Martin, Francis P. Boscoe, Jennifer L. Liang, Juventila Liko and Nisha B. Alden and has published in prestigious journals such as Clinical Infectious Diseases, Public Health Reports and Preventing Chronic Disease.

In The Last Decade

Eva Pradhan

8 papers receiving 85 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva Pradhan 62 54 21 18 10 8 87
Lionel Martellet 56 0.9× 60 1.1× 20 1.0× 15 0.8× 5 0.5× 6 84
Kevin Cannon 177 2.9× 33 0.6× 25 1.2× 31 1.7× 4 0.4× 12 239
Charu Sabharwal 98 1.6× 22 0.4× 5 0.2× 18 1.0× 3 0.3× 6 124
Manuela Bianco 150 2.4× 108 2.0× 8 0.4× 72 4.0× 12 1.2× 10 235
Charlotte Switzer 46 0.7× 34 0.6× 31 1.5× 29 1.6× 7 84
Ajoke Sobanjo-ter Meulen 62 1.0× 28 0.5× 28 1.3× 18 1.0× 6 71
Alexandra W. Dretler 51 0.8× 51 0.9× 8 0.4× 14 0.8× 7 0.7× 10 94
Gregory Gilmet 231 3.7× 229 4.2× 17 0.8× 12 0.7× 6 0.6× 10 278
Josefina Carlos 214 3.5× 205 3.8× 26 1.2× 48 2.7× 3 0.3× 10 268
Michelle Morales 76 1.2× 29 0.5× 34 1.6× 128 7.1× 5 0.5× 11 218

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-authorship network of co-authors of Eva Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Pradhan. A scholar is included among the top collaborators of Eva Pradhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Pradhan. Eva Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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