Beth Tolar

1.2k citations
31 papers · 838 · h-index 15

Impact in

    • Vibrio bacteria research studies
    • Salmonella and Campylobacter epidemiology
    • Food Safety and Hygiene

Papers in

    • Salmonella and Campylobacter epidemiology 27
    • Vibrio bacteria research studies 9
    • Escherichia coli research studies 3

Beth Tolar

30 papers receiving 814 citations

Peers

Beth Tolar
Comparison fields: 5 of 60
  • Endocrinology 215
  • Food Science 658
  • Molecular Medicine 148
  • Biotechnology 175
  • Infectious Diseases 134
Replace Anaïs Painset with:
Anaïs Painset United Kingdom
Eva Litrup Denmark
Kelley Hise United States
Elisabeth Hauser Germany
E. Filetici Italy
Saleh Mohammed Jajere Nigeria
Carol H. Sandt United States
María Aurora Echeita Spain
Yves Millemann France
Lorraine D. Rodriguez‐Rivera United States
Beth Tolar relative to Anaïs Painset United Kingdom Anaïs Painset's profile →
Citations per field
00.5×4.8×
Anaïs Painset · 1×
Citations per year

Countries citing papers authored by Beth Tolar

Since Specialization
Citations

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

Fields of papers citing papers by Beth Tolar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017102
2 201494
3 201693
4 201990
5 201472
6 201967
7 201836
8 201536
9 202223
10 201723
11 201520
12 201620
13 201419
14 202116
15 202314
16 202314
17 201713
18 201813
19 201912
20 202410

About Beth Tolar

Beth Tolar is a scholar working on Food Science, Endocrinology, Infectious Diseases, Biotechnology and Molecular Biology, having authored 31 papers that have together received 838 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (27 papers), Viral gastroenteritis research and epidemiology (10 papers), Vibrio bacteria research studies (9 papers), Listeria monocytogenes in Food Safety (8 papers), Bacteriophages and microbial interactions (4 papers), Escherichia coli research studies (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Endocrinology (215 citations), Food Science (658 citations), Molecular Medicine (148 citations), Biotechnology (175 citations) and Infectious Diseases (134 citations). Beth Tolar has collaborated with scholars based in United States, Spain and Thailand. Frequent co-authors include Jason P. Folster, Lavin A. Joseph, Peter Gerner‐Smidt, Kelley Hise, Eija Trees, Megin Nichols, Xiangyu Deng, Patricia I. Fields, Allison C. Brown and Cindy R. Friedman. Their work appears in journals such as Epidemiology and Infection, Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Journal of Clinical Microbiology and Zoonoses and Public Health.

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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