Florence H. Yong
- Virology top 5%
- HIV Research and Treatment 9
- Rheumatology top 5%
- Physiology top 5%
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions 6
- HIV/AIDS drug development and treatment 6
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 3
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- HIV-related health complications and treatments 3
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- Health Systems, Economic Evaluations, Quality of Life 2
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- Muscle Physiology and Disorders 2
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- Genomics and Rare Diseases 1
- Co-authors
- Hanna MandelDeyanira CorzoWuh‐Liang HwuPriya S. KishnaniMarc NicolinoStephen A. SpectorCourtney V. FletcherStuart E. Starr
- Cited by
- VirologyRheumatologyPhysiology
- Journals
- Stroke (1 paper)The Journal of Infectious Diseases (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Florence H. Yong
16 papers receiving 827 citations
Peers
Comparison fields: 5 of 95
- Virology 174
- Rheumatology 295
- Physiology 412
- Infectious Diseases 217
- Statistics and Probability 87
Countries citing papers authored by Florence H. Yong
This map shows the geographic impact of Florence H. Yong'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 Florence H. Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence H. Yong more than expected).
Fields of papers citing papers by Florence H. Yong
This network shows the impact of papers produced by Florence H. Yong. 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 Florence H. Yong. The network helps show where Florence H. Yong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florence H. Yong, 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 | 2022 | 3 | |
| 2 | 2021 | 17 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 13 | |
| 5 | 2018 | 82 | |
| 6 | 2016 | 7 | |
| 7 | 2006 | 445 | |
| 8 | 2004 | 49 | |
| 9 | 2003 | 14 | |
| 10 | 2002 | 26 | |
| 11 | 2002 | 7 | |
| 12 | 2000 | 21 | |
| 13 | 2000 | 27 | |
| 14 | 1998 | 75 | |
| 15 | 1998 | 26 | |
| 16 | 1997 | 32 |
About Florence H. Yong
Florence H. Yong is a scholar working on Virology, Infectious Diseases and Statistics and Probability, having authored 16 papers that have together received 849 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS Research and Interventions (6 papers), HIV/AIDS drug development and treatment (6 papers), Statistical Methods in Clinical Trials (3 papers), HIV-related health complications and treatments (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Muscle Physiology and Disorders (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Virology (174 citations), Rheumatology (295 citations) and Physiology (412 citations). Florence H. Yong has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Hanna Mandel, Deyanira Corzo, Wuh‐Liang Hwu, Priya S. Kishnani, Marc Nicolino, Stephen A. Spector, Courtney V. Fletcher, Stuart E. Starr, Lisa M. Frenkel and Vincent J. Carey. Their work appears in journals such as Stroke, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.