Jackie Cassell

6.1k citations
189 papers · 4.1k indexed · h-index 35

Impact in

Papers in

Jackie Cassell

180 papers receiving 4.0k citations

Peers

Jackie Cassell
Comparison fields: 5 of 163
  • Microbiology 656
  • General Health Professions 1.6k
  • Health Information Management 243
  • Health Informatics 66
  • Infectious Diseases 865
Replace James G. Kahn with:
James G. Kahn United States
Harvey V. Fineberg United States
Gary L. Freed United States
Brian Wahl United States
Stephen C. Schoenbaum United States
Ran D. Balicer Israel
Richard Lester Canada
Stéphane Verguet United States
Brenda L. Beaty United States
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Jackie Cassell relative to James G. Kahn United States James G. Kahn's profile →
Citations per field
00.5×5.3×
James G. Kahn · 1×
Citations per year

Countries citing papers authored by Jackie Cassell

Since Specialization
Citations

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

Fields of papers citing papers by Jackie Cassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20231
5 20222
6 20221
7 202020
8 201858
9 20174
10 201620
11 201624
12 201620
13 20152
14 201452
15 201320
16 20135
17
SEXUAL BEHAVIOUR, PARTNERSHIP PATTERNS AND STI DIAGNOSES AMONG HIV POSITIVE MSM: IMPLICATIONS FOR HIV/STIS TRANSMISSION AND PARTNER NOTIFICATION
20121
18 201139
19 200717
20 200513

About Jackie Cassell

Jackie Cassell is a scholar working on Microbiology, General Health Professions, Infectious Diseases, Health Information Management and Public Health, Environmental and Occupational Health, having authored 189 papers that have together received 4.1k indexed citations. Recurring topics across this work include Adolescent Sexual and Reproductive Health (59 papers), Reproductive tract infections research (36 papers), HIV/AIDS Research and Interventions (26 papers), Syphilis Diagnosis and Treatment (17 papers), Primary Care and Health Outcomes (16 papers), HIV, Drug Use, Sexual Risk (13 papers), Dermatological diseases and infestations (13 papers) and Ethics in Clinical Research (12 papers). The work is most often cited by research in Microbiology (656 citations), General Health Professions (1.6k citations), Health Information Management (243 citations), Health Informatics (66 citations) and Infectious Diseases (865 citations). Jackie Cassell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Catherine H Mercer, Elizabeth Ford, Greta Rait, Helen Smith, Donia Scott, Margaret Johnson, Nicola Low, James Fairhead, Melissa Leach and István Z. Kiss. Their work appears in journals such as Sexually Transmitted Infections, BMJ Open, International Journal of STD & AIDS, Epidemiology and Infection and BMC Public Health.

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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