Thomas W. Carton

3.6k total citations · 2 hit papers
65 papers, 1.1k citations indexed

About

Thomas W. Carton is a scholar working on General Health Professions, Infectious Diseases and Neurology. According to data from OpenAlex, Thomas W. Carton has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 14 papers in Infectious Diseases and 14 papers in Neurology. Recurrent topics in Thomas W. Carton's work include Long-Term Effects of COVID-19 (14 papers), COVID-19 Clinical Research Studies (11 papers) and COVID-19 and Mental Health (11 papers). Thomas W. Carton is often cited by papers focused on Long-Term Effects of COVID-19 (14 papers), COVID-19 Clinical Research Studies (11 papers) and COVID-19 and Mental Health (11 papers). Thomas W. Carton collaborates with scholars based in United States, Canada and Netherlands. Thomas W. Carton's co-authors include Sohail Agha, Jason P. Block, Mark G. Weiner, Rainu Kaushal, Russell L. Rothman, Chengxi Zang, Elizabeth Shenkman, Dhruv Khullar, Yongkang Zhang and Zhenxing Xu and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Thomas W. Carton

59 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

2022 108 citations Chengxi Zang, Zhenxing Xu et al. profile →
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program

2023 70 citations Dhruv Khullar, Yongkang Zhang et al. Journal of General Internal Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Thomas W. Carton	271	239	218	193	188	65	1.1k
Nahar Alazemi	177 0.7×	168 0.7×	356 1.6×	50 0.3×	145 0.8×	21	1.0k
Chaisiri Angkurawaranon	97 0.4×	361 1.5×	56 0.3×	122 0.6×	146 0.8×	115	1.4k
Tariq M. Alhawassi	72 0.3×	152 0.6×	141 0.6×	128 0.7×	98 0.5×	61	1.7k
Sonu Hangma Subba	94 0.3×	124 0.5×	117 0.5×	126 0.7×	116 0.6×	31	678
Mohammed Alluhidan	178 0.7×	148 0.6×	355 1.6×	38 0.2×	144 0.8×	24	985
Amerta Ghosh	337 1.2×	153 0.6×	911 4.2×	36 0.2×	243 1.3×	27	1.7k
Ginenus Fekadu	42 0.2×	222 0.9×	199 0.9×	206 1.1×	138 0.7×	96	1.3k
Hassan Alwafi	129 0.5×	281 1.2×	238 1.1×	111 0.6×	436 2.3×	100	1.6k
Muhammad Abdul Baker Chowdhury	80 0.3×	122 0.5×	63 0.3×	135 0.7×	48 0.3×	80	1.0k
Kavita Singh	53 0.2×	144 0.6×	167 0.8×	63 0.3×	84 0.4×	71	881

Countries citing papers authored by Thomas W. Carton

Since Specialization

Citations

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

Fields of papers citing papers by Thomas W. Carton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Carton. 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 Thomas W. Carton. The network helps show where Thomas W. Carton may publish in the future.

Co-authorship network of co-authors of Thomas W. Carton

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

All Works

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20 of 20 papers shown

Preiss, Alexander, Abhishek Bhatia, John M. Baratta, et al.. (2025). Effect of Paxlovid treatment during acute COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia. PLoS Medicine. 22(9). e1004711–e1004711. 1 indexed citations

Mandel, Hannah, Shruti Shah, L. Charles Bailey, et al.. (2025). Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative. Journal of Medical Internet Research. 27. e59217–e59217.

Li, Wenjun, Meng Zhang, Jie Cheng, et al.. (2025). Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana. BMC Public Health. 25(1). 432–432.

DeSantis, Carol, Faraz S. Ahmad, Kenneth H. Mayer, et al.. (2024). Differences in COVID-19 Outpatient Antiviral Treatment Among Adults Aged ≥65 Years by Age Group — National Patient-Centered Clinical Research Network, United States, April 2022–September 2023. MMWR Morbidity and Mortality Weekly Report. 73(39). 876–882. 3 indexed citations

Katzmarzyk, Peter T., Emily F. Mire, Ronald Horswell, et al.. (2024). Four‐year follow‐up of weight loss maintenance using electronic medical record data: The PROPEL trial. Obesity Science & Practice. 10(5). e70017–e70017. 1 indexed citations

Durstenfeld, Matthew S., Michael J. Peluso, Feng Lin, et al.. (2024). Association of nirmatrelvir for acute SARS‐CoV‐2 infection with subsequent Long COVID symptoms in an observational cohort study. Journal of Medical Virology. 96(1). e29333–e29333. 28 indexed citations

Andrinopoulos, Katherine, et al.. (2023). A Longitudinal Assessment of Interruptions in HIV Clinic Visits and Virologic Failure among Pregnant and Postpartum Women in the Kabeho Study. 5(1). 34–40. 1 indexed citations

Fontil, Valy, Madelaine Faulkner Modrow, Rhonda M. Cooper‐DeHoff, et al.. (2023). Improvement in Blood Pressure Control in Safety Net Clinics Receiving 2 Versions of a Scalable Quality Improvement Intervention: BP MAP A Pragmatic Cluster Randomized Trial. Journal of the American Heart Association. 12(3). e024975–e024975. 2 indexed citations

Klompas, Michael, Emily M. Kraus, Wenjun Li, et al.. (2023). Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance. Journal of Public Health Management and Practice. 29(2). 162–173. 23 indexed citations

10.

Kraus, Emily M., Elin Begley, Robert Merritt, et al.. (2023). Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance. Journal of Public Health Management and Practice. 30(2). 244–254. 4 indexed citations

11.

Durstenfeld, Matthew S., Michael J. Peluso, Noah D. Peyser, et al.. (2023). Factors Associated With Long COVID Symptoms in an Online Cohort Study. Open Forum Infectious Diseases. 10(2). ofad047–ofad047. 52 indexed citations

12.

Zang, Chengxi, Yongkang Zhang, Jie Xu, et al.. (2023). Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nature Communications. 14(1). 1948–1948. 27 indexed citations

13.

Khullar, Dhruv, Yongkang Zhang, Chengxi Zang, et al.. (2023). Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program. Journal of General Internal Medicine. 38(5). 1127–1136. 70 indexed citations breakdown →

14.

Wiltz, Jennifer L., Amy K. Feehan, Noelle‐Angelique Molinari, et al.. (2022). Racial and Ethnic Disparities in Receipt of Medications for Treatment of COVID-19 — United States, March 2020–August 2021. MMWR Morbidity and Mortality Weekly Report. 71(3). 96–102. 77 indexed citations

15.

Kraus, Emily M., Kenneth A. Scott, Dawn Heisey‐Grove, et al.. (2021). A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative. Journal of Public Health Management and Practice. 28(2). E421–E429. 1 indexed citations

16.

Shao, Yixue, Charles Stoecker, Elizabeth Nauman, et al.. (2021). RE4 The IMPACT of Reimbursement for NON-Face-to-Face Chronic Care Management on Health Outcomes and Health Care Utilization Among Patients with Type 2 Diabetes in Louisiana. Value in Health. 24. S239–S239. 1 indexed citations

17.

Beatty, Alexis L., Noah D. Peyser, Xochitl Butcher, et al.. (2021). The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study. JMIR Research Protocols. 10(8). e28169–e28169. 18 indexed citations

18.

Canterberry, Melanie, Alan F. Kaul, Satyender Goel, et al.. (2019). The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage. Population Health Management. 23(6). 438–444. 8 indexed citations

19.

Mason, Karen, et al.. (2018). Assessing Potentially Preventable Hospitalizations at the County Level: A Comparison of Measures Using Medicare Data and State Hospital Discharge Data. Population Health Management. 21(6). 438–445. 1 indexed citations

20.

Nauman, Elizabeth, et al.. (2014). Louisiana Clinical Data Research Network: establishing an infrastructure for efficient conduct of clinical research. Journal of the American Medical Informatics Association. 21(4). 612–614. 12 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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