Caroline E. van Gemert

919 citations
49 papers · 706 · h-index 15

Impact in

Papers in

    • Hepatitis B Virus Studies 11
    • HIV, Drug Use, Sexual Risk 6
    • Liver Disease Diagnosis and Treatment 5
    • Reproductive tract infections research 7

Caroline E. van Gemert

48 papers receiving 691 citations

Peers

Caroline E. van Gemert
Comparison fields: 5 of 71
  • Periodontics 83
  • Modeling and Simulation 58
  • Hepatology 77
  • Microbiology 60
  • Epidemiology 208
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Citations per year

Countries citing papers authored by Caroline E. van Gemert

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. van Gemert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E. van Gemert. 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 Caroline E. van Gemert. The network helps show where Caroline E. van Gemert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200974
2 201457
3 201854
4 201442
5 201441
6 201240
7 201131
8 202226
9 201325
10 201124
11 201724
12 201419
13 201118
14 201217
15 201416
16 201714
17 201312
18 201211
19
Are the Potential Benefits of a Community-based Participatory Approach to Public Health Research Worth the Potential Costs?
200811
20 201911

About Caroline E. van Gemert

Caroline E. van Gemert is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Modeling and Simulation and Hepatology, having authored 49 papers that have together received 706 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Reproductive tract infections research (7 papers), HIV, Drug Use, Sexual Risk (6 papers), COVID-19 epidemiological studies (5 papers), HIV/AIDS Research and Interventions (5 papers), Sex work and related issues (5 papers), Hepatitis C virus research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Periodontics (83 citations), Modeling and Simulation (58 citations), Hepatology (77 citations), Microbiology (60 citations) and Epidemiology (208 citations). Caroline E. van Gemert has collaborated with scholars based in Australia, Vanuatu and United States. Frequent co-authors include Margaret Elena Hellard, Mark A Stoove, Elisha Riggs, Mark G. Gussy, Nicky M Kilpatrick, Lisa F Gibbs, Anna L. Bowring, Paul Dietze, Elizabeth Waters and Isabel Bergeri. Their work appears in journals such as Western Pacific surveillance response journal, BMC Public Health, Sexual Health, The Lancet Regional Health - Western Pacific and AIDS Education and Prevention.

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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