Timothy Bergquist

2.0k citations
13 papers · 262 · h-index 6

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 and healthcare impacts
    • Cancer Immunotherapy and Biomarkers

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2
    • COVID-19 and healthcare impacts 3

Timothy Bergquist

13 papers receiving 261 citations

Peers

Timothy Bergquist
Comparison fields: 5 of 55
  • Infectious Diseases 143
  • Oncology 112
  • Health Informatics 3
  • Health Information Management 10
  • Modeling and Simulation 9
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Citations per field
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Citations per year

Countries citing papers authored by Timothy Bergquist

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Timothy Bergquist Line = papers co-authored together Timothy Bergquist links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202173
2 202267
3 201842
4 202236
5 202118
6 20245
7
Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions (Extended Abstract).
20175
8 20204
9
Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions.
20173
10 20203
11 20232
12 20222
13 20212

About Timothy Bergquist

Timothy Bergquist is a scholar working on Infectious Diseases, Oncology, Epidemiology, Artificial Intelligence and Neurology, having authored 13 papers that have together received 262 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), 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), Chronic Disease Management Strategies (2 papers), COVID-19 Clinical Research Studies (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (143 citations), Oncology (112 citations), Health Informatics (3 citations), Health Information Management (10 citations) and Modeling and Simulation (9 citations). Timothy Bergquist has collaborated with scholars based in United States. Frequent co-authors include Vithal Madhira, Benjamin Bates, Qianqian Song, Ümit Topaloĝlu, Noha Sharafeldin, Feifan Liu, Jing Su, Yu Raymond Shao, Yao Yan and Justin Guinney. Their work appears in journals such as Journal of Clinical Oncology, Genetics in Medicine, Diagnostic Microbiology and Infectious Disease, 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.

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