Isabel M. Ott
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 3
-
- Pneumonia and Respiratory Infections 1
- Co-authors
- Barbara A. Han (1 shared paper)John M. Drake (1 shared paper)Chaney C. Kalinich (3 shared papers)Nathan D. Grubaugh (4 shared papers)Chantal B. F. Vogels (3 shared papers)Joseph R. Fauver (2 shared papers)Christina Mack (1 shared paper)David D. Ho (1 shared paper)
- Journals
- PLoS Biology (2 papers)Nature Communications (1 paper)PLoS ONE (1 paper)Dermatologic Therapy (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Isabel M. Ott
8 papers receiving 148 citations
Peers
Comparison fields: 5 of 39
- Modeling and Simulation 34
- Infectious Diseases 110
- Agronomy and Crop Science 10
- Public Health, Environmental and Occupational Health 21
- Health 4
Countries citing papers authored by Isabel M. Ott
This map shows the geographic impact of Isabel M. Ott'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 Isabel M. Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel M. Ott more than expected).
Fields of papers citing papers by Isabel M. Ott
This network shows the impact of papers produced by Isabel M. Ott. 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 Isabel M. Ott. The network helps show where Isabel M. Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel M. Ott, 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 | 2021 | 95 | |
| 2 | 2018 | 26 | |
| 3 | 2020 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2025 | 0 |
About Isabel M. Ott
Isabel M. Ott is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Dermatology, having authored 9 papers that have together received 150 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Sympathectomy and Hyperhidrosis Treatments (1 paper), Zoonotic diseases and public health (1 paper), Neonatal skin health care (1 paper), Mosquito-borne diseases and control (1 paper), Pneumonia and Respiratory Infections (1 paper) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Modeling and Simulation (34 citations), Infectious Diseases (110 citations), Agronomy and Crop Science (10 citations), Public Health, Environmental and Occupational Health (21 citations) and Health (4 citations). Isabel M. Ott has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Barbara A. Han, John M. Drake, Chaney C. Kalinich, Nathan D. Grubaugh, Chantal B. F. Vogels, Joseph R. Fauver, Christina Mack, David D. Ho, Jay G. Wohlgemuth and Yonatan H. Grad. Their work appears in journals such as PLoS Biology, Nature Communications, PLoS ONE, Dermatologic Therapy and Progress in Biophysics and Molecular Biology.
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.