Jennifer M. McGoogan
- Infectious Diseases top 0.05%
- HIV/AIDS Research and Interventions 26
- HIV/AIDS drug development and treatment 6
- COVID-19 Clinical Research Studies 4
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 5
- Neurology top 0.2%
- Obstetrics and Gynecology top 0.5%
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- HIV, Drug Use, Sexual Risk 22
- Substance Abuse Treatment and Outcomes 5
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- HIV Research and Treatment 17
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- Opioid Use Disorder Treatment 5
- Co-authors
- Zunyou WuVincent M. CassoneKeming RouYan ZhaoChen Jun-fangSarah Robbins ScottRoger DetelsCynthia X. Shi
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jennifer M. McGoogan
43 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Infectious Diseases 7.5k
- Modeling and Simulation 1.2k
- Neurology 3.4k
- Critical Care and Intensive Care Medicine 670
- Obstetrics and Gynecology 744
Countries citing papers authored by Jennifer M. McGoogan
This map shows the geographic impact of Jennifer M. McGoogan'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 Jennifer M. McGoogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. McGoogan more than expected).
Fields of papers citing papers by Jennifer M. McGoogan
This network shows the impact of papers produced by Jennifer M. McGoogan. 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 Jennifer M. McGoogan. The network helps show where Jennifer M. McGoogan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer M. McGoogan, 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 | 5 | |
| 2 | 2020 | 15 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 97 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 16 | |
| 12 | 2014 | 34 | |
| 13 | 2014 | 27 | |
| 14 | 2014 | 31 | |
| 15 | 2014 | 45 | |
| 16 | 2013 | 48 | |
| 17 | 2013 | 20 | |
| 18 | 2013 | 26 | |
| 19 | 2000 | 18 | |
| 20 | 1999 | 50 |
About Jennifer M. McGoogan
Jennifer M. McGoogan is a scholar working on Virology, Infectious Diseases and Modeling and Simulation, having authored 43 papers that have together received 12.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (26 papers), HIV, Drug Use, Sexual Risk (22 papers), HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (6 papers), COVID-19 epidemiological studies (5 papers), Substance Abuse Treatment and Outcomes (5 papers), Opioid Use Disorder Treatment (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (7.5k citations), Modeling and Simulation (1.2k citations) and Neurology (3.4k citations). Jennifer M. McGoogan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zunyou Wu, Vincent M. Cassone, Keming Rou, Yan Zhao, Chen Jun-fang, Sarah Robbins Scott, Roger Detels, Cynthia X. Shi, Ye Ma and Julio Montaner. Their work appears in journals such as PLoS ONE, Addiction, Clinical Infectious Diseases, JAMA and Infectious Diseases of Poverty.
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.