Mariette Smith

23 papers receiving 540 citations

Peers

Mariette Smith
Comparison fields: 5 of 90
  • Molecular Medicine 73
  • Applied Microbiology and Biotechnology 29
  • Infectious Diseases 240
  • Virology 45
  • Epidemiology 242
Replace Habtamu Mitiku with:
Habtamu Mitiku Ethiopia
Fatima Mir Pakistan
Dagnachew Muluye Ethiopia
Felix Reichert Germany
Lazarus Kuonza South Africa
Liêm Binh Luong Nguyen France
Gerald Shambira Zimbabwe
Lars Navér Sweden
Elizabeth Prentice United States
Neema Mturi Kenya
Mariette Smith relative to Habtamu Mitiku Ethiopia Habtamu Mitiku's profile →
Citations per field
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Habtamu Mitiku · 1×
Citations per year

Countries citing papers authored by Mariette Smith

Since Specialization
Citations

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

Fields of papers citing papers by Mariette Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201896
3 200368
4 199043
5 202043
6 199937
7 201531
8 202129
9 201628
10 201819
11 202111
12 201911
13 20208
14 20227
15 20234
16
Strategies for Successful Fellowships: Nurturing Early Childhood Leaders
20054
17 20244
18
Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets
20014
19 20223
20 20233

About Mariette Smith

Mariette Smith is a scholar working on Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health, General Health Professions and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 556 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (7 papers), Tuberculosis Research and Epidemiology (5 papers), Global Maternal and Child Health (4 papers), Adolescent Sexual and Reproductive Health (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial biofilms and quorum sensing (2 papers) and HIV/AIDS Impact and Responses (2 papers). The work is most often cited by research in Molecular Medicine (73 citations), Applied Microbiology and Biotechnology (29 citations), Infectious Diseases (240 citations), Virology (45 citations) and Epidemiology (242 citations). Mariette Smith has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Andrew Boulle, Graeme Meintjes, Meg Osler, Nelesh P. Govender, Katherine Hilderbrand, Nathan Ford, Doreen Jewkes, Eric Goemaere, Alexa Heekes and Hein J. Odendaal. Their work appears in journals such as AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes, International Journal for Population Data Science, Clinical Infectious Diseases and Tropical Medicine and Infectious Disease.

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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