Mary L. Kamb

7.0k citations
80 papers · 4.6k indexed · 4 hit papers · h-index 34

Mary L. Kamb

78 papers receiving 4.4k citations

Hit Papers

Global burden of mat...2491998202620072016250500750

Peers

Mary L. Kamb
Comparison fields: 5 of 146
  • Microbiology 1.4k
  • Infectious Diseases 1.6k
  • Physiology 2.0k
  • General Health Professions 1.5k
  • General Social Sciences 133
Replace Elizabeth Torrone with:
Elizabeth Torrone United States
Jane Rowley Switzerland
Charlotte Kent United States
Khalil G. Ghanem United States
Thomas L. Gift United States
Rebecca Guy Australia
Kyle T. Bernstein United States
Thomas A. Peterman United States
Nigel Field United Kingdom
Guoyu Tao United States
Mary L. Kamb relative to Elizabeth Torrone United States Elizabeth Torrone's profile →
Citations per field
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Elizabeth Torrone · 1×
Citations per year

Countries citing papers authored by Mary L. Kamb

Since Specialization
Citations

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

Fields of papers citing papers by Mary L. Kamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary L. Kamb. 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 Mary L. Kamb. The network helps show where Mary L. Kamb may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20202
3 202015
4
HIV/AIDS prevention, care and treatment in the Region of the Americas: achievements, challenges and perspectives.
20164
5 2016160
6
Can the Perinatal Information System in Peru be used to measure the proportion of adverse birth outcomes attributable to maternal syphilis infection?
20144
7 201423
8 201463
9 2014111
10 201327
11 201232
12 2011148
13 201114
14 200749
15 200476
16 200344
17 2000117
18
Efficacy of Risk-Reduction Counseling to Prevent Human Immunodeficiency Virus and Sexually Transmitted Diseasesbreakdown →
1998774
19 199618
20 199123

About Mary L. Kamb

Mary L. Kamb is a scholar working on Microbiology, Physiology and Infectious Diseases, having authored 80 papers that have together received 4.6k indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (33 papers), Reproductive tract infections research (26 papers), Adolescent Sexual and Reproductive Health (23 papers), HIV/AIDS Research and Interventions (20 papers), Sex work and related issues (10 papers), HIV, Drug Use, Sexual Risk (8 papers), Female Genital Mutilation/Cutting Issues (7 papers) and Global Maternal and Child Health (7 papers). The work is most often cited by research in Microbiology (1.4k citations), Infectious Diseases (1.6k citations) and Physiology (2.0k citations). Mary L. Kamb has collaborated with scholars based in United States, Switzerland and Uganda. Frequent co-authors include Lori M. Newman, Nathalie Broutet, Sarah Hawkes, Gail Bolan, Gabriela B. Gomez, Thomas A. Peterman, C. Kevin Malotte, Michael Iatesta, Martin Fishbein and Rosanna Ŵ. Peeling. Their work appears in journals such as JAMA, Annals of Internal Medicine and PLoS ONE.

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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