Jennifer Legardy-Williams

16 papers receiving 245 citations

Peers

Jennifer Legardy-Williams
Comparison fields: 5 of 52
  • Infectious Diseases 90
  • Public Health, Environmental and Occupational Health 86
  • Epidemiology 75
  • General Health Professions 63
  • Pediatrics, Perinatology and Child Health 51
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Chidinma V Gab-Okafor Nigeria
Dumbani Kayira United States
Candice L. Robinson United States
A De Clercq France
Tulika Singh United States
Regina Wangnapi Papua New Guinea
Feng Cheng China
Victor N. Chilaka United Kingdom
Patrícia El Beitune Brazil
Banafsheh Moradmand Badie Iran
Jennifer Legardy-Williams relative to Chidinma V Gab-Okafor Nigeria Chidinma V Gab-Okafor's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jennifer Legardy-Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Legardy-Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Legardy-Williams. 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 Jennifer Legardy-Williams. The network helps show where Jennifer Legardy-Williams may publish in the future.

Co-authorship network of co-authors of Jennifer Legardy-Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Legardy-Williams. A scholar is included among the top collaborators of Jennifer Legardy-Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Legardy-Williams. Jennifer Legardy-Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 24
3 3
4 4
5 2
6 11
7 19
8 34
9 57
10 22
11
Intravaginal cleansing among women attending a sexually transmitted infection clinic in Kingston, Jamaica.
8
12 4
13 36
14 1
15 14
16 7

About Jennifer Legardy-Williams

Jennifer Legardy-Williams is a scholar working on Microbiology, Infectious Diseases and Modeling and Simulation, having authored 16 papers that have together received 251 indexed citations. Recurring topics across this work include Reproductive tract infections research (5 papers), Reproductive Health and Contraception (5 papers) and Adolescent Sexual and Reproductive Health (5 papers). The work is most often cited by research in Hepatology (40 citations), Infectious Diseases (90 citations) and Obstetrics and Gynecology (35 citations). Jennifer Legardy-Williams has collaborated with scholars based in United States, Jamaica and Sierra Leone. Frequent co-authors include Denise J. Jamieson, Athena P. Kourtis, Sascha Ellington, Marc Bulterys, Kathryn M. Curtis, Lisa Flowers, Tina Hylton-Kong, Lisa B. Haddad, Carrie Cwiak and M. Steiner. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and American Journal of Obstetrics and Gynecology.

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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