Carmen Figueroa
- Virology top 1%
- HIV Research and Treatment 10
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions 14
- HIV/AIDS drug development and treatment 2
- Tuberculosis Research and Epidemiology 1
- Epidemiology top 5%
- HIV, Drug Use, Sexual Risk 12
- Hepatitis B Virus Studies 2
- General Health Professions top 5%
- Hepatology top 10%
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- COVID-19 epidemiological studies 1
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- Diagnosis and treatment of tuberculosis 1
- Co-authors
- Cheryl JohnsonRachel BaggaleyAnnette VersterShona DalalNandi SiegfriedAnita SandsVirginia A. FonnerCaitlin E. Kennedy
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Carmen Figueroa
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Virology 485
- Infectious Diseases 1.1k
- Epidemiology 909
- General Health Professions 291
- Hepatology 67
Countries citing papers authored by Carmen Figueroa
This map shows the geographic impact of Carmen Figueroa'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 Carmen Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Figueroa more than expected).
Fields of papers citing papers by Carmen Figueroa
This network shows the impact of papers produced by Carmen Figueroa. 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 Carmen Figueroa. The network helps show where Carmen Figueroa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Figueroa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 48 | |
| 3 | 2020 | 118 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 64 | |
| 7 | 2018 | 146 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 10 | |
| 10 | Examining the effects of HIV self‐testing compared to standard HIV testing services: a systematic review and meta‐analysisbreakdown → | 2017 | 270 |
| 11 | 2017 | 15 | |
| 12 | 2017 | 111 | |
| 13 | 2016 | 36 | |
| 14 | HIV and Hepatitis Testing: Global Progress, Challenges, and Future Directions. | 2016 | 29 |
| 15 | Attitudes and Acceptability on HIV Self-testing Among Key Populations: A Literature Reviewbreakdown → | 2015 | 298 |
| 16 | 2014 | 18 | |
| 17 | 2014 | 13 | |
| 18 | EFECTO AGUDO Y CRÓNICO DEL EJERCICIO FISICO SOBRE LA PERCEPCIÓN-ATENCIÓN EN JÓVENES UNIVERSITARIOS | 2011 | 2 |
About Carmen Figueroa
Carmen Figueroa is a scholar working on Virology, Life-span and Life-course Studies and Infectious Diseases, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (14 papers), HIV, Drug Use, Sexual Risk (12 papers), HIV Research and Treatment (10 papers), Hepatitis B Virus Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Tuberculosis Research and Epidemiology (1 paper), COVID-19 epidemiological studies (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). The work is most often cited by research in Virology (485 citations), Infectious Diseases (1.1k citations) and Epidemiology (909 citations). Carmen Figueroa has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Cheryl Johnson, Rachel Baggaley, Annette Verster, Shona Dalal, Nandi Siegfried, Anita Sands, Virginia A. Fonner, Caitlin E. Kennedy, Karin Hatzold and Nathan Ford. Their work appears in journals such as European Respiratory Journal, AIDS and BMC Medicine.
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.