Allison R. Eberly

565 citations
23 papers · 403 · h-index 9

Impact in

Papers in

Allison R. Eberly

22 papers receiving 395 citations

Peers

Allison R. Eberly
Comparison fields: 5 of 67
  • Endocrinology 160
  • Molecular Medicine 81
  • Clinical Biochemistry 33
  • Epidemiology 114
  • Microbiology 21
Replace Sarah Pohl with:
Sarah Pohl Germany
Viktoria Roos Denmark
Jayde A. Gawthorne Australia
José Molina-López Mexico
Chun-Tang Chen Taiwan
Xiuyue Zhang China
Katherine Volzing United States
Colin W. Russell United States
Randi L. Guest United States
Patricia Komp Lindgren Sweden
Allison R. Eberly relative to Sarah Pohl Germany Sarah Pohl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Allison R. Eberly

Since Specialization
Citations

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

Fields of papers citing papers by Allison R. Eberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison R. Eberly. 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 Allison R. Eberly. The network helps show where Allison R. Eberly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201971
3 201760
4 201748
5 201734
6 202124
7 201622
8 201920
9 201814
10 20226
11 20226
12 20215
13 20224
14 20233
15 20242
16 20222
17 20242
18 20231
19 20251
20 20211

About Allison R. Eberly

Allison R. Eberly is a scholar working on Endocrinology, Molecular Medicine, Clinical Biochemistry, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 403 indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (6 papers), Urinary Tract Infections Management (5 papers), Bacterial Genetics and Biotechnology (4 papers), Gut microbiota and health (4 papers), Streptococcal Infections and Treatments (3 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Endocrinology (160 citations), Molecular Medicine (81 citations), Clinical Biochemistry (33 citations), Epidemiology (114 citations) and Microbiology (21 citations). Allison R. Eberly has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Maria Hadjifrangiskou, Erin J. Breland, Connor J. Beebout, Kyle A. Floyd, Charles W. Stratton, Jonathan E. Schmitz, Eric Patrick Skaar, Richard M. Caprioli, Douglass B. Clayton and Carrie L. Shaffer. Their work appears in journals such as Journal of Clinical Microbiology, mBio, Biofilm, npj Biofilms and Microbiomes and International Journal of Molecular Sciences.

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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