Anna E. Newton

1.7k citations
26 papers · 1.3k · h-index 17

Impact in

  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
    • Parasitic Infections and Diagnostics
    • Vector-borne infectious diseases

Papers in

Anna E. Newton

26 papers receiving 1.2k citations

Peers

Anna E. Newton
Comparison fields: 5 of 88
  • Endocrinology 670
  • Parasitology 85
  • Food Science 176
  • Molecular Medicine 29
  • Water Science and Technology 70
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Citations per field
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Citations per year

Countries citing papers authored by Anna E. Newton

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Newton. 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 Anna E. Newton. The network helps show where Anna E. Newton may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna E. Newton, 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 Anna E. Newton Line = papers co-authored together Anna E. Newton 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 2012352
2 2016151
3
Surveillance for waterborne disease outbreaks and other health events associated with recreational water --- United States, 2007--2008.
2011127
4 2013102
5 201797
6
Increase in Vibrio parahaemolyticus infections associated with consumption of Atlantic Coast shellfish--2013.
201463
7 201658
8 201557
9 201633
10 201227
11 201427
12 201125
13 201423
14 201423
15 201321
16 201319
17 201319
18
Vibrio Parahaemolyticus Infections in the United States, 1999-2012
201417
19 201114
20 201113

About Anna E. Newton

Anna E. Newton is a scholar working on Endocrinology, Food Science, Public Health, Environmental and Occupational Health, Modeling and Simulation and Molecular Medicine, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Salmonella and Campylobacter epidemiology (7 papers), Travel-related health issues (3 papers), SARS-CoV-2 detection and testing (1 paper), Data-Driven Disease Surveillance (1 paper), COVID-19 epidemiological studies (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Fecal contamination and water quality (1 paper). The work is most often cited by research in Endocrinology (670 citations), Parasitology (85 citations), Food Science (176 citations), Molecular Medicine (29 citations) and Water Science and Technology (70 citations). Anna E. Newton has collaborated with scholars based in United States, Sweden and Kenya. Frequent co-authors include Barbara E. Mahon, Duc J. Vugia, Olga L. Henao, Kara Jacobs Slifka, Cheryl A. Bopp, Eric D. Mintz, Jessica L. Jones, Angelo DePaola, J. Michael Janda and Steven G. Stroika. Their work appears in journals such as Emerging infectious diseases, Epidemiology and Infection, MMWR Morbidity and Mortality Weekly Report, Clinical Infectious Diseases and International Journal of Antimicrobial Agents.

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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