Karen Eberle

603 citations
26 papers · 476 · h-index 13

Impact in

    • Antifungal resistance and susceptibility
  • Microbiology top 10%
    • Reproductive tract infections research
    • Antimicrobial Peptides and Activities

Papers in

Karen Eberle

26 papers receiving 463 citations

Peers

Karen Eberle
Comparison fields: 5 of 81
  • Infectious Diseases 249
  • Microbiology 55
  • Parasitology 36
  • Epidemiology 171
  • Immunology 53
Replace Filipe Cerca with:
Filipe Cerca Portugal
Sumalee Tungpradabkul Thailand
Xiaoping Zhang China
Gabriela Jeníková United States
Duc Bui Minh Austria
Ahmed Gaballah Egypt
Vahid Khalaj Iran
Katie O’Riordan United States
Ana Camila Oliveira Souza United States
Deepa Raju Canada
Karen Eberle relative to Filipe Cerca Portugal Filipe Cerca's profile →
Citations per field
00.5×1.5×2.1×
Filipe Cerca · 1×
Citations per year

Countries citing papers authored by Karen Eberle

Since Specialization
Citations

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

Fields of papers citing papers by Karen Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201947
3 197739
4 201137
5 200834
6 201528
7 200728
8 200927
9 201323
10 202120
11 201519
12 198816
13 198116
14 202112
15 201912
16 201711
17 201711
18 198810
19 20239
20 19957

About Karen Eberle

Karen Eberle is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Oncology and Pharmacology, having authored 26 papers that have together received 476 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (8 papers), Antimicrobial Peptides and Activities (3 papers), Viral Infections and Immunology Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Microbial Natural Products and Biosynthesis (2 papers), RNA Research and Splicing (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Infectious Diseases (249 citations), Microbiology (55 citations), Parasitology (36 citations), Epidemiology (171 citations) and Immunology (53 citations). Karen Eberle has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Glen E. Palmer, Hong Xin, Douglas A. Johnston, Marion S. Freistadt, Elias Klein, Paul L. Fidel, Brian M. Peters, Junko Yano, Andrew N. J. McKenzie and Thomas J. Vogl. Their work appears in journals such as Infection and Immunity, mSphere, Virology Journal, Vaccine and Eukaryotic Cell.

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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