Timothy Bergquist

2.0k total citations
13 papers, 262 citations indexed

About

Timothy Bergquist is a scholar working on Infectious Diseases, Oncology and Epidemiology. According to data from OpenAlex, Timothy Bergquist has authored 13 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Timothy Bergquist's work include SARS-CoV-2 and COVID-19 Research (3 papers), Machine Learning in Healthcare (3 papers) and COVID-19 and healthcare impacts (3 papers). Timothy Bergquist is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Machine Learning in Healthcare (3 papers) and COVID-19 and healthcare impacts (3 papers). Timothy Bergquist collaborates with scholars based in United States. Timothy Bergquist's co-authors include Vithal Madhira, Qianqian Song, Benjamin Bates, Noha Sharafeldin, Jing Su, Ümit Topaloĝlu, Feifan Liu, Yu Raymond Shao, Yao Yan and Justin Guinney and has published in prestigious journals such as Journal of Clinical Oncology, BMC Public Health and Journal of the American Medical Informatics Association.

In The Last Decade

Timothy Bergquist

13 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timothy Bergquist United States 6 143 112 32 29 26 13 262
Daniel Sheinson United States 13 77 0.5× 91 0.8× 24 0.8× 40 1.4× 39 1.5× 37 431
Ana S. Ferrigno Mexico 9 81 0.6× 114 1.0× 25 0.8× 23 0.8× 27 1.0× 40 279
Tuğçe Nur Yiğenoğlu Türkiye 9 144 1.0× 147 1.3× 11 0.3× 44 1.5× 23 0.9× 65 303
Helen Curley United Kingdom 6 67 0.5× 192 1.7× 9 0.3× 27 0.9× 41 1.6× 7 300
Adam Lee United States 8 157 1.1× 92 0.8× 9 0.3× 31 1.1× 29 1.1× 32 359
Jérôme Razanamahery France 5 255 1.8× 247 2.2× 9 0.3× 34 1.2× 19 0.7× 21 412
Sinem Namdaroğlu Türkiye 8 131 0.9× 137 1.2× 8 0.3× 31 1.1× 16 0.6× 30 252
Manabu Kitagaki Japan 6 145 1.0× 53 0.5× 9 0.3× 63 2.2× 16 0.6× 7 241
Seied Asadollah Mousavi Iran 10 78 0.5× 88 0.8× 9 0.3× 22 0.8× 35 1.3× 28 246
Gordon Hay United Kingdom 12 170 1.2× 100 0.9× 9 0.3× 41 1.4× 48 1.8× 30 524

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-authorship network of co-authors of Timothy Bergquist

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Bergquist. A scholar is included among the top collaborators of Timothy Bergquist based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timothy Bergquist. Timothy Bergquist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Stenton, Sarah L., Vikas Pejaver, Timothy Bergquist, et al.. (2024). Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendations. Genetics in Medicine. 26(11). 101213–101213. 5 indexed citations
2.
3.
Singh, Namrata, Vithal Madhira, Chen Hu, et al.. (2022). Rituximab is associated with worse COVID-19 outcomes in patients with rheumatoid arthritis: A retrospective, nationally sampled cohort study from the U.S. National COVID Cohort Collaborative (N3C). Seminars in Arthritis and Rheumatism. 58. 152149–152149. 36 indexed citations
4.
Sharafeldin, Noha, Vithal Madhira, Qianqian Song, et al.. (2022). Long COVID-19 in patients with cancer: Report from the National COVID Cohort Collaborative (N3C).. Journal of Clinical Oncology. 40(16_suppl). 1540–1540. 2 indexed citations
5.
Song, Qianqian, Benjamin Bates, Yu Raymond Shao, et al.. (2022). Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative. Journal of Clinical Oncology. 40(13). 1414–1427. 67 indexed citations
6.
Gombar, Saurabh, Timothy Bergquist, Vikas Pejaver, et al.. (2021). SARS-CoV-2 infection and COVID-19 severity in individuals with prior seasonal coronavirus infection. Diagnostic Microbiology and Infectious Disease. 100(2). 115338–115338. 18 indexed citations
7.
Sharafeldin, Noha, Benjamin Bates, Qianqian Song, et al.. (2021). Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C). Journal of Clinical Oncology. 39(20). 2232–2246. 73 indexed citations
8.
Sharafeldin, Noha, Jing Su, Vithal Madhira, et al.. (2021). Outcomes of COVID-19 in cancer patients: Report from the National COVID Cohort Collaborative (N3C).. Journal of Clinical Oncology. 39(15_suppl). 1500–1500. 2 indexed citations
9.
10.
Bergquist, Timothy, Yao Yan, Thomas Schaffter, et al.. (2020). Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. Journal of the American Medical Informatics Association. 27(9). 1393–1400. 4 indexed citations
11.
Rañola, John Michael O., Christina Smith, Timothy Bergquist, et al.. (2018). Outcomes of 92 patient-driven family studies for reclassification of variants of uncertain significance. Genetics in Medicine. 21(6). 1435–1442. 42 indexed citations
12.
Bergquist, Timothy, et al.. (2017). Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions.. AMIA. 3 indexed citations
13.
Bergquist, Timothy, et al.. (2017). Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions (Extended Abstract).. PubMed. 2017. 2269–2273. 5 indexed citations

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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