Peter L De Hoff
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- SARS-CoV-2 detection and testing 7
- SARS-CoV-2 and COVID-19 Research 6
-
- MicroRNA in disease regulation 5
- Co-authors
- James Umen (2 shared papers)Louise Chang Laurent (7 shared papers)Sa Geng (1 shared paper)Akira Yokoi (1 shared paper)Karen Clise-Dwyer (1 shared paper)Jianhua Zhang (1 shared paper)Alejandro Villar‐Prados (1 shared paper)Jason Roszik (1 shared paper)
- Journals
- mSystems (3 papers)Cell (3 papers)Nature Biotechnology (2 papers)Clinical Infectious Diseases (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
Peter L De Hoff
26 papers receiving 1.5k citations
Peter L De Hoff's Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 539
- Cancer Research 155
- Modeling and Simulation 56
- Molecular Biology 689
- General Dentistry 1
Countries citing papers authored by Peter L De Hoff
This map shows the geographic impact of Peter L De Hoff'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 Peter L De Hoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter L De Hoff more than expected).
Fields of papers citing papers by Peter L De Hoff
This network shows the impact of papers produced by Peter L De Hoff. 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 Peter L De Hoff. The network helps show where Peter L De Hoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter L De Hoff, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission Hit paper breakdown → | 2022 | 345 |
| 2 | 2019 | 259 | |
| 3 | 2019 | 249 | |
| 4 | 2021 | 249 | |
| 5 | 2018 | 133 | |
| 6 | 2014 | 62 | |
| 7 | 2015 | 58 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2003 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Peter L De Hoff
Peter L De Hoff is a scholar working on Infectious Diseases, Cancer Research, Molecular Biology, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), SARS-CoV-2 detection and testing (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (2 papers), Infection Control and Ventilation (2 papers), COVID-19 epidemiological studies (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Infectious Diseases (539 citations), Cancer Research (155 citations), Modeling and Simulation (56 citations), Molecular Biology (689 citations) and General Dentistry (1 citation). Peter L De Hoff has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include James Umen, Louise Chang Laurent, Sa Geng, Akira Yokoi, Karen Clise-Dwyer, Jianhua Zhang, Alejandro Villar‐Prados, Jason Roszik, Theresa J. O’Halloran and Xingzhi Song. Their work appears in journals such as mSystems, Cell, Nature Biotechnology, Clinical Infectious Diseases and Science Advances.
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.