Colin Pawlowski

1.7k total citations
30 papers, 857 citations indexed

About

Colin Pawlowski is a scholar working on Infectious Diseases, Health and Neurology. According to data from OpenAlex, Colin Pawlowski has authored 30 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 7 papers in Health and 6 papers in Neurology. Recurrent topics in Colin Pawlowski's work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (13 papers) and Vaccine Coverage and Hesitancy (7 papers). Colin Pawlowski is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (13 papers) and Vaccine Coverage and Hesitancy (7 papers). Colin Pawlowski collaborates with scholars based in United States, Netherlands and Italy. Colin Pawlowski's co-authors include Dimitris Bertsimas, Ying Daisy Zhuo, Andrew D. Badley, John C. O’Horo, Venky Soundararajan, AJ Venkatakrishnan, Arjun Puranik, Patrick J. Lenehan, John Halamka and Melanie D. Swift and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Colin Pawlowski

29 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin Pawlowski United States 16 469 165 113 86 85 30 857
Smadar Shilo Israel 20 239 0.5× 110 0.7× 79 0.7× 137 1.6× 126 1.5× 41 1.4k
Massimo Locatelli Italy 24 657 1.4× 47 0.3× 168 1.5× 123 1.4× 190 2.2× 80 1.5k
Zhiyuan Chen China 15 348 0.7× 73 0.4× 49 0.4× 81 0.9× 43 0.5× 54 997
Johad Khoury Israel 11 396 0.8× 31 0.2× 147 1.3× 168 2.0× 46 0.5× 39 809
Ziyue Zu China 6 544 1.2× 23 0.1× 175 1.5× 70 0.8× 185 2.2× 13 1.4k
Anup Agarwal United States 12 571 1.2× 37 0.2× 159 1.4× 46 0.5× 26 0.3× 31 991
Amos Lal United States 18 478 1.0× 21 0.1× 235 2.1× 164 1.9× 37 0.4× 137 1.2k
Markos Kalligeros United States 16 431 0.9× 38 0.2× 227 2.0× 352 4.1× 17 0.2× 49 1.0k
Meng Jiang China 9 555 1.2× 24 0.1× 179 1.6× 82 1.0× 192 2.3× 16 1.4k
Chiara Piliego Italy 5 469 1.0× 22 0.1× 225 2.0× 54 0.6× 20 0.2× 10 1.0k

Countries citing papers authored by Colin Pawlowski

Since Specialization
Citations

This map shows the geographic impact of Colin Pawlowski'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 Colin Pawlowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Pawlowski more than expected).

Fields of papers citing papers by Colin Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin Pawlowski. 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 Colin Pawlowski. The network helps show where Colin Pawlowski may publish in the future.

Co-authorship network of co-authors of Colin Pawlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Pawlowski. A scholar is included among the top collaborators of Colin Pawlowski 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 Colin Pawlowski. Colin Pawlowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ghosh, Pritha, Michiel J.M. Niesen, Colin Pawlowski, et al.. (2024). Case-control study on post-COVID-19 conditions reveals severe acute infection and chronic pulmonary disease as potential risk factors. iScience. 27(8). 110406–110406. 1 indexed citations
2.
Bertsimas, Dimitris & Colin Pawlowski. (2023). Tensor completion with noisy side information. Machine Learning. 112(10). 3945–3976. 1 indexed citations
3.
Pawlowski, Colin, Francisco López-Jiménez, Suraj Kapa, et al.. (2023). Abstract 14527: AI-ECG is a Cost-Effective Early Screening Tool for Heart Failure With Reduced Ejection Fraction. Circulation. 148(Suppl_1). 1 indexed citations
4.
Venkatakrishnan, AJ, Praveen Anand, Patrick J. Lenehan, et al.. (2023). Expanding repertoire of SARS-CoV-2 deletion mutations contributes to evolution of highly transmissible variants. Scientific Reports. 13(1). 257–257. 3 indexed citations
5.
Pawlowski, Colin, Eli Silvert, John C. O’Horo, et al.. (2022). SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes. PNAS Nexus. 1(3). pgac071–pgac071. 11 indexed citations
6.
Puranik, Arjun, Patrick J. Lenehan, John C. O’Horo, et al.. (2022). Durability analysis of the highly effective BNT162b2 vaccine against COVID-19. PNAS Nexus. 1(3). pgac082–pgac082. 8 indexed citations
7.
Puranik, Arjun, Patrick J. Lenehan, John C. O’Horo, et al.. (2022). Durability analysis of the highly effective mRNA-1273 vaccine against COVID-19. PNAS Nexus. 1(2). pgac058–pgac058. 1 indexed citations
8.
Niesen, Michiel J.M., Arjun Puranik, John C. O’Horo, et al.. (2022). Third dose vaccination with mRNA-1273 or BNT162b2 vaccines improves protection against SARS-CoV-2 infection. PNAS Nexus. 1(2). pgac042–pgac042. 7 indexed citations
9.
Pawlowski, Colin, Patrick J. Lenehan, Arjun Puranik, et al.. (2021). FDA-authorized mRNA COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system. Med. 2(8). 979–992.e8. 112 indexed citations
10.
Razonable, Raymund R., Colin Pawlowski, John C. O’Horo, et al.. (2021). Casirivimab–Imdevimab treatment is associated with reduced rates of hospitalization among high-risk patients with mild to moderate coronavirus disease-19. EClinicalMedicine. 40. 101102–101102. 97 indexed citations
11.
Ganesh, Ravindra, Colin Pawlowski, John C. O’Horo, et al.. (2021). Intravenous bamlanivimab use associates with reduced hospitalization in high-risk patients with mild to moderate COVID-19. Journal of Clinical Investigation. 131(19). 36 indexed citations
12.
Pawlowski, Colin, AJ Venkatakrishnan, Arjun Puranik, et al.. (2021). Enoxaparin is associated with lower rates of mortality than unfractionated Heparin in hospitalized COVID-19 patients. EClinicalMedicine. 33. 100774–100774. 25 indexed citations
13.
Venkatakrishnan, AJ, Colin Pawlowski, David Zemmour, et al.. (2021). Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications. npj Digital Medicine. 4(1). 117–117. 18 indexed citations
14.
Pawlowski, Colin, Arjun Puranik, AJ Venkatakrishnan, et al.. (2021). Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations. Scientific Reports. 11(1). 4741–4741. 79 indexed citations
15.
Pawlowski, Colin, Samir Awasthi, Patrick J. Lenehan, et al.. (2021). Cerebral Venous Sinus Thrombosis is not Significantly Linked to COVID-19 Vaccines or Non-COVID Vaccines in a Large Multi-State Health System. Journal of Stroke and Cerebrovascular Diseases. 30(10). 105923–105923. 29 indexed citations
16.
Razonable, Raymund R., Colin Pawlowski, John C. O’Horo, et al.. (2021). Casirivimab-Imdevimab Treatment Is Associated with Reduced Rates of Hospitalization Among High-Risk Patients with Mild to Moderate Coronavirus Disease-19. SSRN Electronic Journal. 6 indexed citations
17.
Pawlowski, Colin, Arjun Puranik, AJ Venkatakrishnan, et al.. (2020). Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC). eLife. 9. 23 indexed citations
18.
Bertsimas, Dimitris, Jack Dunn, Colin Pawlowski, & Ying Daisy Zhuo. (2018). Robust Classification. 1(1). 2–34. 38 indexed citations
19.
Bertsimas, Dimitris, Jack Dunn, Colin Pawlowski, et al.. (2018). Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer. JCO Clinical Cancer Informatics. 2(2). 1–11. 39 indexed citations
20.
Bertsimas, Dimitris, Colin Pawlowski, & Ying Daisy Zhuo. (2017). From predictive methods to missing data imputation: an optimization approach. Journal of Machine Learning Research. 18(1). 7133–7171. 140 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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