Ab Schaap
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- HIV/AIDS Research and Interventions
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 30
- Tuberculosis Research and Epidemiology 24
-
- Adolescent Sexual and Reproductive Health 16
- Co-authors
- Helen Ayles (75 shared papers)Kwame Shanaube (45 shared papers)Richard Hayes (47 shared papers)Nulda Beyers (13 shared papers)Sian Floyd (46 shared papers)Sarah Fidler (43 shared papers)Peter Godfrey‐Faussett (13 shared papers)Virginia Bond (20 shared papers)
- Journals
- AIDS (10 papers)PLoS ONE (10 papers)Journal of the International AIDS Society (5 papers)Tropical Medicine & International Health (4 papers)BMC Infectious Diseases (4 papers)
- Partner nations
- United KingdomZambiaSouth Africa
In The Last Decade
Ab Schaap
87 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 1.4k
- Virology 98
- Epidemiology 499
- General Health Professions 324
- Modeling and Simulation 32
Countries citing papers authored by Ab Schaap
This map shows the geographic impact of Ab Schaap'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 Ab Schaap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ab Schaap more than expected).
Fields of papers citing papers by Ab Schaap
This network shows the impact of papers produced by Ab Schaap. 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 Ab Schaap. The network helps show where Ab Schaap may publish in the future.
Co-authors
The 25 scholars most cited alongside Ab Schaap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2013 | 167 | |
| 3 | 2015 | 104 | |
| 4 | 2009 | 104 | |
| 5 | 2017 | 89 | |
| 6 | 2018 | 82 | |
| 7 | 2014 | 76 | |
| 8 | 2011 | 64 | |
| 9 | 2001 | 61 | |
| 10 | 2009 | 57 | |
| 11 | 2012 | 48 | |
| 12 | 2011 | 43 | |
| 13 | 2014 | 39 | |
| 14 | 2003 | 39 | |
| 15 | 2003 | 38 | |
| 16 | 2017 | 37 | |
| 17 | 2018 | 37 | |
| 18 | 2019 | 35 | |
| 19 | 2008 | 33 | |
| 20 | 2017 | 33 |
About Ab Schaap
Ab Schaap is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health and Surgery, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (30 papers), Tuberculosis Research and Epidemiology (24 papers), Adolescent Sexual and Reproductive Health (16 papers), Sex work and related issues (4 papers), HIV/AIDS Impact and Responses (4 papers), HIV, Drug Use, Sexual Risk (4 papers), Menstrual Health and Disorders (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Virology (98 citations), Epidemiology (499 citations), General Health Professions (324 citations) and Modeling and Simulation (32 citations). Ab Schaap has collaborated with scholars based in United Kingdom, Zambia and South Africa. Frequent co-authors include Helen Ayles, Kwame Shanaube, Richard Hayes, Nulda Beyers, Sian Floyd, Sarah Fidler, Peter Godfrey‐Faussett, Virginia Bond, Monde Muyoyeta and Petra de Haas. Their work appears in journals such as AIDS, PLoS ONE, Journal of the International AIDS Society, Tropical Medicine & International Health and BMC Infectious Diseases.
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.