Donna Strauss
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Blood transfusion and management 5
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- Blood groups and transfusion 5
- Co-authors
- Kimberly A. Yolton (1 shared paper)Jane C. Khoury (1 shared paper)Antonia M. Calafat (1 shared paper)Yingying Y. Xu (1 shared paper)Mekibib Altaye (1 shared paper)Beth H. Shaz (6 shared papers)Christopher D. Hillyer (2 shared papers)Karina Yazdanbakhsh (2 shared papers)
- Journals
- Transfusion (7 papers)Journal of Clinical Microbiology (1 paper)Transfusion Medicine (1 paper)The Journal of Infectious Diseases (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Donna Strauss
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 484
- Modeling and Simulation 68
- Health, Toxicology and Mutagenesis 148
- Obstetrics and Gynecology 53
- Oncology 179
Countries citing papers authored by Donna Strauss
This map shows the geographic impact of Donna Strauss'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 Donna Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Strauss more than expected).
Fields of papers citing papers by Donna Strauss
This network shows the impact of papers produced by Donna Strauss. 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 Donna Strauss. The network helps show where Donna Strauss may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Strauss, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 214 | |
| 2 | 2021 | 197 | |
| 3 | 2014 | 181 | |
| 4 | 2011 | 169 | |
| 5 | 2021 | 153 | |
| 6 | 2020 | 131 | |
| 7 | 2022 | 43 | |
| 8 | 2021 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2021 | 18 | |
| 11 | 1981 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 9 | |
| 16 | 2008 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2012 | 7 | |
| 20 | [Paper chromatographic identification of alkaloids]. | 1955 | 5 |
About Donna Strauss
Donna Strauss is a scholar working on Biochemistry, Hematology, Management of Technology and Innovation, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Blood groups and transfusion (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Blood transfusion and management (5 papers), Neonatal Health and Biochemistry (5 papers), Blood donation and transfusion practices (4 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Infectious Diseases (484 citations), Modeling and Simulation (68 citations), Health, Toxicology and Mutagenesis (148 citations), Obstetrics and Gynecology (53 citations) and Oncology (179 citations). Donna Strauss has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kimberly A. Yolton, Jane C. Khoury, Antonia M. Calafat, Yingying Y. Xu, Mekibib Altaye, Beth H. Shaz, Christopher D. Hillyer, Karina Yazdanbakhsh, Yiska Weisblum and Paul D. Bieniasz. Their work appears in journals such as Transfusion, Journal of Clinical Microbiology, Transfusion Medicine, The Journal of Infectious Diseases and Nature 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.