Chris Worrall

2.2k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Chris Worrall is a scholar working on Epidemiology, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chris Worrall has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Economics and Econometrics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chris Worrall's work include Influenza Virus Research Studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Disaster Response and Management (3 papers). Chris Worrall is often cited by papers focused on Influenza Virus Research Studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Disaster Response and Management (3 papers). Chris Worrall collaborates with scholars based in United States, United Kingdom and Spain. Chris Worrall's co-authors include Jeffrey A. Kelman, Thomas MaCurdy, Michael Wernecke, David J. Graham, Marsha E. Reichman, Katrina Mott, Margie R. Goulding, Mary Southworth, Mark Levenson and Ting-Chang Sheu and has published in prestigious journals such as JAMA, Circulation and PEDIATRICS.

In The Last Decade

Chris Worrall

32 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillation

2014 498 citations David J. Graham, Marsha E. Reichman et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Worrall United States	18	720	450	354	169	130	34	1.7k
D. Mark Courtney United States	22	350 0.5×	756 1.7×	307 0.9×	55 0.3×	53 0.4×	76	1.7k
Wojtek Wiercioch Canada	18	745 1.0×	423 0.9×	1.2k 3.4×	243 1.4×	213 1.6×	57	2.3k
Michael Koller Switzerland	30	908 1.3×	507 1.1×	114 0.3×	51 0.3×	106 0.8×	66	2.4k
Trine Frøslev Denmark	18	557 0.8×	351 0.8×	118 0.3×	30 0.2×	69 0.5×	47	1.6k
Blanca Coll‐Vinent Spain	24	776 1.1×	219 0.5×	50 0.1×	45 0.3×	105 0.8×	91	2.1k
Muhammad Zia Khan United States	20	784 1.1×	374 0.8×	56 0.2×	32 0.2×	77 0.6×	127	1.4k
Sudeep Karve United States	20	203 0.3×	321 0.7×	35 0.1×	93 0.6×	243 1.9×	63	1.5k
Fulvio Pomero Italy	19	331 0.5×	283 0.6×	403 1.1×	72 0.4×	22 0.2×	75	1.4k
Elenir B.C. Avritscher United States	17	158 0.2×	248 0.6×	209 0.6×	61 0.4×	242 1.9×	40	1.8k
K.J.M. Janssen Netherlands	10	289 0.4×	269 0.6×	349 1.0×	57 0.3×	140 1.1×	15	1.2k

Countries citing papers authored by Chris Worrall

Since Specialization

Citations

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

Fields of papers citing papers by Chris Worrall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Worrall

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Worrall. A scholar is included among the top collaborators of Chris Worrall 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 Chris Worrall. Chris Worrall 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

Worrall, Chris, et al.. (2024). Impact of a clinical pharmacist-led, artificial intelligence–supported medication adherence program on medication adherence performance, chronic disease control measures, and cost savings. Journal of the American Pharmacists Association. 65(1). 102271–102271. 5 indexed citations

Black, Carla L., et al.. (2017). Trends in Influenza and Pneumococcal Vaccination Among US Nursing Home Residents, 2006-2014. Journal of the American Medical Directors Association. 18(8). 735.e1–735.e14. 24 indexed citations

Shay, David K., Yoganand Chillarige, Jeffrey A. Kelman, et al.. (2017). Comparative Effectiveness of High-Dose Versus Standard-Dose Influenza Vaccines Among US Medicare Beneficiaries in Preventing Postinfluenza Deaths During 2012–2013 and 2013–2014. The Journal of Infectious Diseases. 215(4). 510–517. 86 indexed citations

Izurieta, Héctor S., Michael Wernecke, Jeffrey A. Kelman, et al.. (2016). Effectiveness and Duration of Protection Provided by the Live-attenuated Herpes Zoster Vaccine in the Medicare Population Ages 65 Years and Older. Clinical Infectious Diseases. 64(6). 785–793. 67 indexed citations

Graham, David J., Marsha E. Reichman, Michael Wernecke, et al.. (2016). Stroke, Bleeding, and Mortality Risks in Elderly Medicare Beneficiaries Treated With Dabigatran or Rivaroxaban for Nonvalvular Atrial Fibrillation. JAMA Internal Medicine. 176(11). 1662–1662. 242 indexed citations

Wang, Cunlin, Robert C. Kane, Mark Levenson, et al.. (2016). Association Between Changes in CMS Reimbursement Policy and Drug Labels for Erythrocyte-Stimulating Agents With Outcomes for Older Patients Undergoing Hemodialysis Covered by Fee-for-Service Medicare. JAMA Internal Medicine. 176(12). 1818–1818. 25 indexed citations

Izurieta, Héctor S., Nicole N. Thadani, David K. Shay, et al.. (2015). Comparative effectiveness of high-dose versus standard-dose influenza vaccines in US residents aged 65 years and older from 2012 to 2013 using Medicare data: a retrospective cohort analysis. The Lancet Infectious Diseases. 15(3). 293–300. 130 indexed citations

Menis, Mikhail, Richard A. Forshee, Stephen McKean, et al.. (2015). Transfusion-Related Acute Lung Injury (Trali) Occurrence Among Inpatient Medicaid Beneficiaries, Under 65 Years of Age, As Recorded By Large Administrative Databases During 2007-2010. Value in Health. 18(3). A169–A169. 1 indexed citations

Lochner, Kimberly, et al.. (2015). Medicare Claims Versus Beneficiary Self-Report for Influenza Vaccination Surveillance. American Journal of Preventive Medicine. 48(4). 384–391. 14 indexed citations

10.

Lurie, Nicole, Kristen Finne, Chris Worrall, et al.. (2015). Early Dialysis and Adverse Outcomes After Hurricane Sandy. American Journal of Kidney Diseases. 66(3). 507–512. 23 indexed citations

11.

Graham, David J., Marsha E. Reichman, Michael Wernecke, et al.. (2014). Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillation. Circulation. 131(2). 157–164. 498 indexed citations breakdown →

12.

Kelman, Jeffrey A., Kristen Finne, Alina Bogdanov, et al.. (2014). Dialysis Care and Death Following Hurricane Sandy. American Journal of Kidney Diseases. 65(1). 109–115. 60 indexed citations

13.

Du, Dongyi, Stephen McKean, Jeffrey A. Kelman, et al.. (2014). Early Mortality After Aortic Valve Replacement With Mechanical Prosthetic vs Bioprosthetic Valves Among Medicare Beneficiaries. JAMA Internal Medicine. 174(11). 1788–1788. 25 indexed citations

14.

Houstoun, Monika, Marsha E. Reichman, David J. Graham, et al.. (2014). Use of an active surveillance system by the FDA to observe patterns of quinine sulfate use and adverse hematologic outcomes in CMS Medicare data. Pharmacoepidemiology and Drug Safety. 23(9). 911–917. 12 indexed citations

15.

Willy, Mary E., David J. Graham, Judith A. Racoosin, et al.. (2014). Candidate Metrics for Evaluating the Impact of Prescriber Education on the Safe Use of Extended-Release/Long-Acting (ER/LA) Opioid Analgesics. Pain Medicine. 15(9). 1558–1568. 11 indexed citations

16.

DeSalvo, Karen B., Nicole Lurie, Kristen Finne, et al.. (2014). Using Medicare Data to Identify Individuals Who Are Electricity Dependent to Improve Disaster Preparedness and Response. American Journal of Public Health. 104(7). 1160–1164. 25 indexed citations

17.

Du, Dongyi, Craig Zinderman, Jeffrey A. Kelman, et al.. (2013). Incidence of Endophthalmitis after Corneal Transplant or Cataract Surgery in a Medicare Population. Ophthalmology. 121(1). 290–298. 53 indexed citations

18.

Menis, Mikhail, Steven A. Anderson, Richard A. Forshee, et al.. (2013). Transfusion‐associated circulatory overload (TACO) and potential risk factors among the inpatient US elderly as recorded in Medicare administrative databases during 2011. Vox Sanguinis. 106(2). 144–152. 52 indexed citations

19.

Worrall, Chris. (2012). Innovative Induction Welding of Thermoplastic Composites.

20.

Robb, Melissa A., et al.. (2012). Active Surveillance of Postmarket Medical Product Safety in the Federal Partners' Collaboration. Medical Care. 50(11). 948–953. 8 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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