Timothy Bergquist
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- COVID-19 and healthcare impacts
Papers in
- Oncology 3
- COVID-19 and healthcare impacts 3
-
- Machine Learning in Healthcare 3
- Co-authors
- Vithal Madhira (6 shared papers)Ümit Topaloĝlu (5 shared papers)Qianqian Song (5 shared papers)Jing Su (4 shared papers)Noha Sharafeldin (5 shared papers)Feifan Liu (5 shared papers)Benjamin Bates (5 shared papers)Yu Raymond Shao (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Genetics in Medicine (2 papers)Journal of the American Medical Informatics Association (1 paper)Seminars in Arthritis and Rheumatism (1 paper)BMC Public Health (1 paper)
- Partner nations
- United States
In The Last Decade
Timothy Bergquist
13 papers receiving 272 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 108
- Oncology 91
- Health Information Management 9
- Modeling and Simulation 8
- Health Informatics 2
Countries citing papers authored by Timothy Bergquist
This map shows the geographic impact of Timothy Bergquist'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 Timothy Bergquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Bergquist more than expected).
Fields of papers citing papers by Timothy Bergquist
This network shows the impact of papers produced by Timothy Bergquist. 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 Timothy Bergquist. The network helps show where Timothy Bergquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy Bergquist, 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 | 74 | |
| 2 | 2022 | 69 | |
| 3 | 2018 | 44 | |
| 4 | 2022 | 38 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 8 | |
| 7 | 2024 | 5 | |
| 8 | Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions (Extended Abstract). | 2017 | 5 |
| 9 | Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions. | 2017 | 3 |
| 10 | 2020 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 |
About Timothy Bergquist
Timothy Bergquist is a scholar working on Oncology, Artificial Intelligence, Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 273 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (3 papers), Machine Learning in Healthcare (3 papers), Heart Failure Treatment and Management (2 papers), Genomics and Rare Diseases (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Chronic Disease Management Strategies (2 papers), Long-Term Effects of COVID-19 (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Infectious Diseases (108 citations), Oncology (91 citations), Health Information Management (9 citations), Modeling and Simulation (8 citations) and Health Informatics (2 citations). Timothy Bergquist has collaborated with scholars based in United States. Frequent co-authors include Vithal Madhira, Ümit Topaloĝlu, Qianqian Song, Jing Su, Noha Sharafeldin, Feifan Liu, Benjamin Bates, Yu Raymond Shao, Justin Guinney and John Michael O. Rañola. Their work appears in journals such as Journal of Clinical Oncology, Genetics in Medicine, Journal of the American Medical Informatics Association, Seminars in Arthritis and Rheumatism and BMC Public Health.
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.