Gemma Chaloner

725 citations
11 papers · 546 · h-index 10

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 7
    • Viral gastroenteritis research and epidemiology 3
    • Viral Infections and Vectors 2

Gemma Chaloner

11 papers receiving 539 citations

Peers

Gemma Chaloner
Comparison fields: 5 of 54
  • Food Science 386
  • Animal Science and Zoology 205
  • Parasitology 82
  • Infectious Diseases 216
  • Endocrinology 59
Replace Patrizia Casagrande Proietti with:
Patrizia Casagrande Proietti Italy
J.A. Harris United Kingdom
Catherine Fearnley United Kingdom
Irys Hany Lima Gonzalez Brazil
Peter B. Bahnson United States
Angela Miccolupo Italy
Abdolvahab Farzan Canada
Nadira Seepersadsingh Trinidad and Tobago
Sharmin Chowdhury Bangladesh
Erik Rattenborg Denmark
Gemma Chaloner relative to Patrizia Casagrande Proietti Italy Patrizia Casagrande Proietti's profile →
Citations per field
00.5×1.5×2.1×
Patrizia Casagrande Proietti · 1×
Citations per year

Countries citing papers authored by Gemma Chaloner

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Chaloner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014226
2 201368
3 201849
4 201445
5 201638
6 201729
7 201124
8 201523
9 201122
10 201219
11
Optimization of Bartonella henselae multilocus sequence typing scheme using single-nucleotide polymorphism analysis of SOLiD sequence data.
20123

About Gemma Chaloner

Gemma Chaloner is a scholar working on Food Science, Infectious Diseases, Parasitology, Animal Science and Zoology and Small Animals, having authored 11 papers that have together received 546 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Bartonella species infections research (4 papers), Animal Nutrition and Physiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Veterinary medicine and infectious diseases (2 papers), Vector-borne infectious diseases (2 papers), Viral Infections and Vectors (2 papers) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Food Science (386 citations), Animal Science and Zoology (205 citations), Parasitology (82 citations), Infectious Diseases (216 citations) and Endocrinology (59 citations). Gemma Chaloner has collaborated with scholars based in United Kingdom, Kenya and Switzerland. Frequent co-authors include Nicola Williams, Paul Wigley, Suzanne Humphrey, Kirsty Kemmett, Anja Kipar, Richard J. Birtles, Lizeth Lacharme‐Lora, T. J. Humphrey, Timothy G. Harrison and Palmira Ventosilla. Their work appears in journals such as PLoS neglected tropical diseases, Epidemiology and Infection, Journal of Clinical Microbiology, PLoS ONE and mBio.

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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