Diane Eisler

538 citations
5 papers · 395 · h-index 4

Impact in

Papers in

    • Amoebic Infections and Treatments 2
    • Tuberculosis Research and Epidemiology 1
    • Viral Infections and Vectors 1
    • Viral gastroenteritis research and epidemiology 1
    • Genomics and Phylogenetic Studies 2
    • vaccines and immunoinformatics approaches 1

Diane Eisler

5 papers receiving 375 citations

Peers

Diane Eisler
Comparison fields: 5 of 46
  • Parasitology 195
  • Microbiology 17
  • Infectious Diseases 262
  • Small Animals 101
  • Epidemiology 161
Replace Salceda Fernández-Barredo with:
Salceda Fernández-Barredo Spain
Stéphane Valot France
L Sekla Canada
Billie L. Swisher United States
D.V. Cousins Australia
Mehdi Tavalla Iran
K. Angus United States
E H White United States
Z Kamiński Poland
Hooshang Khazan Iran
Diane Eisler relative to Salceda Fernández-Barredo Spain Salceda Fernández-Barredo's profile →
Citations per field
00.5×1.7×
Salceda Fernández-Barredo · 1×
Citations per year

Countries citing papers authored by Diane Eisler

Since Specialization
Citations

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

Fields of papers citing papers by Diane Eisler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2004157
2 2002146
3 199957
4 200433
5 20202

About Diane Eisler

Diane Eisler is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Parasitology and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 395 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Parasitic Infections and Diagnostics (2 papers), Amoebic Infections and Treatments (2 papers), Tuberculosis Research and Epidemiology (1 paper), Influenza Virus Research Studies (1 paper), vaccines and immunoinformatics approaches (1 paper), Viral Infections and Vectors (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Parasitology (195 citations), Microbiology (17 citations), Infectious Diseases (262 citations), Small Animals (101 citations) and Epidemiology (161 citations). Diane Eisler has collaborated with scholars based in Canada. Frequent co-authors include Judith L. Isaac‐Renton, A. McNabb, Corinne Ong, J. Bruce Tomblin, William Bowie, Vincent Fung, Ahmad Alikhani, Mabel Rodrigues, Gwen Stephens and W. A. P. Black. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, Influenza and Other Respiratory Viruses and American Journal of Tropical Medicine and Hygiene.

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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