Mark R. Cobain

7.7k total citations · 1 hit paper
7 papers, 5.5k citations indexed

About

Mark R. Cobain is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Mark R. Cobain has authored 7 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in General Health Professions. Recurrent topics in Mark R. Cobain's work include Lipoproteins and Cardiovascular Health (3 papers), Behavioral Health and Interventions (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mark R. Cobain is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Behavioral Health and Interventions (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mark R. Cobain collaborates with scholars based in United Kingdom, United States and Netherlands. Mark R. Cobain's co-authors include Ralph B. D’Agostino, Joseph M. Massaro, Ramachandran S. Vasan, Michael Pencina, Philip A. Wolf, William B. Kannel, Brendan O’Malley, Oscar H. Franco, Robert Hurling and Peter Murray and has published in prestigious journals such as Circulation, American Journal of Epidemiology and The American Journal of Medicine.

In The Last Decade

Mark R. Cobain

7 papers receiving 5.4k citations

Hit Papers

General Cardiovascular Risk Profile for Use in Primary Care 2008 2026 2014 2020 2008 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark R. Cobain United Kingdom 7 2.5k 1.2k 956 877 671 7 5.5k
Jamal S. Rana United States 43 2.7k 1.1× 1.2k 1.0× 1.6k 1.6× 940 1.1× 884 1.3× 231 7.0k
Peter Brindle United Kingdom 19 2.0k 0.8× 1.3k 1.1× 1.1k 1.2× 1.1k 1.3× 864 1.3× 24 5.3k
Connor A. Emdin United Kingdom 29 4.3k 1.7× 1.4k 1.2× 1.2k 1.2× 900 1.0× 1.1k 1.7× 48 9.1k
Hongyan Ning United States 46 4.0k 1.6× 1.1k 1.0× 1.2k 1.2× 1.7k 1.9× 922 1.4× 169 7.6k
Mary Pettinger United States 41 1.4k 0.6× 1.4k 1.2× 972 1.0× 1.3k 1.5× 902 1.3× 119 8.1k
Maurizio Ferrario Italy 40 2.3k 0.9× 746 0.6× 1.1k 1.1× 938 1.1× 563 0.8× 270 6.5k
Youlian Liao United States 41 2.7k 1.1× 1.3k 1.1× 642 0.7× 797 0.9× 795 1.2× 77 5.5k
Feng Lin United States 45 1.8k 0.7× 1.3k 1.1× 1.1k 1.2× 671 0.8× 688 1.0× 173 7.1k
Dayi Hu China 43 4.1k 1.7× 1.0k 0.9× 1.5k 1.5× 614 0.7× 780 1.2× 354 7.0k
María Grau Spain 37 1.8k 0.8× 636 0.5× 978 1.0× 651 0.7× 452 0.7× 141 4.3k

Countries citing papers authored by Mark R. Cobain

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Cobain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Cobain. 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 Mark R. Cobain. The network helps show where Mark R. Cobain may publish in the future.

Co-authorship network of co-authors of Mark R. Cobain

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

All Works

7 of 7 papers shown
1.
Neufingerl, Nicole, et al.. (2014). Web-Based Self-Assessment Health Tools: Who Are the Users and What Is the Impact of Missing Input Information?. Journal of Medical Internet Research. 16(9). e215–e215. 21 indexed citations
2.
Murray, Peter, et al.. (2011). Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population. Journal of Medical Internet Research. 13(4). e118–e118. 24 indexed citations
3.
Franco, Oscar H., et al.. (2009). Trajectories of Entering the Metabolic Syndrome. Circulation. 120(20). 1943–1950. 130 indexed citations
4.
Ware, Lisa J., Robert Hurling, B. W. Fairley, et al.. (2008). Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study. Journal of Medical Internet Research. 10(4). e56–e56. 51 indexed citations
5.
D’Agostino, Ralph B., Ramachandran S. Vasan, Michael Pencina, et al.. (2008). General Cardiovascular Risk Profile for Use in Primary Care. Circulation. 117(6). 743–753. 5294 indexed citations breakdown →
6.
Cobain, Mark R., Michael Pencina, Ralph B. D’Agostino, & Ramachandran S. Vasan. (2007). Lifetime Risk for Developing Dyslipidemia: The Framingham Offspring Study. The American Journal of Medicine. 120(7). 623–630.e1. 12 indexed citations
7.
Pencina, Michael, Ralph B. D’Agostino, Alexa Beiser, Mark R. Cobain, & Ramachandran S. Vasan. (2006). Estimating Lifetime Risk of Developing High Serum Total Cholesterol: Adjustment for Baseline Prevalence and Single-Occasion Measurements. American Journal of Epidemiology. 165(4). 464–472. 10 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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