Jane Greig

1.3k citations
57 papers · 923 · h-index 18

Impact in

    • Viral Infections and Outbreaks Research
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • Viral Infections and Vectors
    • Bacterial Infections and Vaccines

Papers in

    • Tuberculosis Research and Epidemiology 14
    • Viral Infections and Outbreaks Research 9
    • HIV/AIDS Research and Interventions 4
    • Pneumonia and Respiratory Infections 2

Jane Greig

52 papers receiving 894 citations

Peers

Jane Greig
Comparison fields: 5 of 105
  • Infectious Diseases 399
  • Microbiology 95
  • Endocrinology 71
  • Modeling and Simulation 38
  • Emergency Medical Services 47
Replace Cherie Drenzek with:
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Carolyn M. Greene United States
Mireia Jané Spain
Raouf R. Arafat United States
John Amuasi Ghana
Barbara Telfer Australia
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Sérgio Cimerman Brazil
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Jane Greig relative to Cherie Drenzek United States Cherie Drenzek's profile →
Citations per field
00.5×2.6×
Cherie Drenzek · 1×
Citations per year

Countries citing papers authored by Jane Greig

Since Specialization
Citations

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

Fields of papers citing papers by Jane Greig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 200487
3 201578
4 201457
5 201241
6 201434
7 201333
8 201431
9 201031
10 201224
11 201624
12 201623
13 201623
14 201322
15 201321
16 201621
17 201719
18 200019
19 201316
20 201215

About Jane Greig

Jane Greig is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Health, Toxicology and Mutagenesis and Dermatology, having authored 57 papers that have together received 923 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Viral Infections and Outbreaks Research (9 papers), Bacterial Infections and Vaccines (4 papers), HIV/AIDS Research and Interventions (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Contact Dermatitis and Allergies (3 papers), Metabolism and Genetic Disorders (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (399 citations), Microbiology (95 citations), Endocrinology (71 citations), Modeling and Simulation (38 citations) and Emergency Medical Services (47 citations). Jane Greig has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include D. O’Brien, Philipp du Cros, Grazia Caleo, Esther C. Casas, Kamalini Lokuge, Dominique A. Caugant, Leslie Shanks, Clair Mills, Nathan Ford and Anna Funk. Their work appears in journals such as PLoS ONE, Public Health Action, Journal of the International AIDS Society, Addiction Biology and The Medical Journal of Australia.

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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