Daniel P. Strange
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
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- Mosquito-borne diseases and control
- Reproductive Biology and Fertility
Papers in
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- Viral Infections and Vectors 6
- Viral Infections and Outbreaks Research 2
- SARS-CoV-2 and COVID-19 Research 1
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- Mosquito-borne diseases and control 6
- Malaria Research and Control 1
- Co-authors
- Saguna Verma (8 shared papers)Pei‐Yong Shi (2 shared papers)Dietmar W. Siemann (2 shared papers)Hooman Sadri‐Ardekani (4 shared papers)Nima Pourhabibi Zarandi (2 shared papers)Xuping Xie (1 shared paper)Teri Ann S. Wong (1 shared paper)Axel T. Lehrer (1 shared paper)
- Journals
- Frontiers in Microbiology (3 papers)PLoS Pathogens (1 paper)Scientific Reports (1 paper)mBio (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Daniel P. Strange
8 papers receiving 338 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 200
- Public Health, Environmental and Occupational Health 197
- Reproductive Medicine 51
- Obstetrics and Gynecology 35
- Modeling and Simulation 17
Countries citing papers authored by Daniel P. Strange
This map shows the geographic impact of Daniel P. Strange'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 Daniel P. Strange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Strange more than expected).
Fields of papers citing papers by Daniel P. Strange
This network shows the impact of papers produced by Daniel P. Strange. 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 Daniel P. Strange. The network helps show where Daniel P. Strange may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel P. Strange, 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 | 2017 | 109 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 42 | |
| 5 | 2018 | 31 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 8 | |
| 8 | 2021 | 7 |
About Daniel P. Strange
Daniel P. Strange is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Virology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), Mosquito-borne diseases and control (6 papers), COVID-19 Impact on Reproduction (3 papers), Viral Infections and Outbreaks Research (2 papers), Hepatitis B Virus Studies (1 paper), HIV Research and Treatment (1 paper), Malaria Research and Control (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (200 citations), Public Health, Environmental and Occupational Health (197 citations), Reproductive Medicine (51 citations), Obstetrics and Gynecology (35 citations) and Modeling and Simulation (17 citations). Daniel P. Strange has collaborated with scholars based in United States and Egypt. Frequent co-authors include Saguna Verma, Pei‐Yong Shi, Dietmar W. Siemann, Hooman Sadri‐Ardekani, Nima Pourhabibi Zarandi, Xuping Xie, Teri Ann S. Wong, Axel T. Lehrer, Chih-Yun Lai and Michael Gale. Their work appears in journals such as Frontiers in Microbiology, PLoS Pathogens, Scientific Reports, mBio and Journal of Virology.
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.