Beth Evans

19 papers receiving 479 citations

Peers

Beth Evans
Comparison fields: 5 of 90
  • Molecular Medicine 242
  • Applied Microbiology and Biotechnology 45
  • Library and Information Sciences 18
  • Endocrinology 37
  • Clinical Biochemistry 33
Replace Alicia Shugart with:
Alicia Shugart United States
Lindsey J. Lesher United States
Li‐Chen Lin Taiwan
Patricia Geli Sweden
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Sazlyna Mohd Sazlly Lim Malaysia
Hamed M. Alzoubi Jordan
Maisa Kasanga Zambia
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Citations per field
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Alicia Shugart · 1×
Citations per year

Countries citing papers authored by Beth Evans

Since Specialization
Citations

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

Fields of papers citing papers by Beth Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beth Evans, 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 Evans Line = papers co-authored together Beth Evans 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 2021249
2 200792
3 202372
4 202215
5 202315
6 199911
7 20218
8 19977
9 20245
10
Letting the PC be the instructor
20004
11 19983
12 20183
13
Sheffield City Centre Urban Design Compendium
20043
14 19822
15 20122
16 20022
17
A Distance Education Collaboration: The Learning Café Experience
20011
18 20251
19 20221
20
Studies in communication : contributed to the Communication Research Centre University College, London
19551

About Beth Evans

Beth Evans is a scholar working on Health, Molecular Medicine, Library and Information Sciences, Modeling and Simulation and Emergency Medical Services, having authored 23 papers that have together received 498 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Online and Blended Learning (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), COVID-19 epidemiological studies (2 papers), Library Science and Information Literacy (2 papers) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Molecular Medicine (242 citations), Applied Microbiology and Biotechnology (45 citations), Library and Information Sciences (18 citations), Endocrinology (37 citations) and Clinical Biochemistry (33 citations). Beth Evans has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anthony Francis Jorm, Daniel W. L. Lai, Carol Elaine Adair, Donald Emile Addington, JianLi Wang, Gordon Hilton Fick, Thibaut Jombart, Fujie Zhang, Yohei Doi and Barry N Kreiswirth. Their work appears in journals such as Vaccines, Vaccine, Clinical Infectious Diseases, Cryogenics and Vaccine X.

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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