Jayne Griffith

20 papers receiving 657 citations

Jayne Griffith's Hit Papers

Epidemiologic and Clinical Characteristics of Monkeypox Cases — United States, May 17–July 22, 2022 2022 · 316 citations
3160+1+2Years since publication100200300

Peers

Jayne Griffith
Comparison fields: 5 of 64
  • Virology 347
  • Health 87
  • Endocrinology 17
  • Epidemiology 105
  • Infectious Diseases 44
Replace Irene Ruberto with:
Irene Ruberto United States
María Ordobás Gavín Spain
Emile Okitolonda-Wemakoy United States
Patrick Kakoni Mukadi Democratic Republic of the Congo
Kelly Charniga United Kingdom
Hugo Kavunga‐Membo Democratic Republic of the Congo
Nobuo Saito Japan
Veronika Učakar Slovenia
Yasmin P. Ogale United States
David Philpott United States
Jayne Griffith relative to Irene Ruberto United States Irene Ruberto's profile →
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Citations per year

Countries citing papers authored by Jayne Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Jayne Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Epidemiologic and Clinical Characteristics of Monkeypox Cases — United States, May 17–July 22, 2022
Hit paper breakdown →
2022316
2 201793
3 202276
4 200465
5 202034
6 201930
7 201824
8 201423
9 201422
10 201919
11 20185
12 20245
13 20194
14 20093
15 20182
16 20232
17 20232
18
Investigation of Inhalation Anthrax Case
20141
19 20241
20 20261

About Jayne Griffith

Jayne Griffith is a scholar working on Virology, Endocrinology, Epidemiology, Cardiology and Cardiovascular Medicine and Emergency Medical Services, having authored 20 papers that have together received 728 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (6 papers), Bacillus and Francisella bacterial research (3 papers), Virology and Viral Diseases (3 papers), Viral Infections and Immunology Research (2 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Disaster Response and Management (1 paper), Data-Driven Disease Surveillance (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Virology (347 citations), Health (87 citations), Endocrinology (17 citations), Epidemiology (105 citations) and Infectious Diseases (44 citations). Jayne Griffith has collaborated with scholars based in United States, Australia and Uganda. Frequent co-authors include Cynthia Kenyon, Richard Danila, Heidi D. Kassenborg, William T. M. Dunsmuir, Anna K. Strain, James D. Nordin, Melissa McMahon, Dave Johnson, Lynn Bahta and Kristen Ehresmann. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, Open Forum Infectious Diseases, Vaccine and Clinical Gastroenterology and Hepatology.

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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