Daniel B. Mark

85.0k citations
497 papers · 52.7k · 24 hit papers · h-index 102

Impact in

Papers in

Daniel B. Mark

484 papers receiving 50.4k citations

Daniel B. Mark's Hit Papers

Forecasting the Economic Burden of Cardiovascular Disease and Stroke in the United States Through 2050: A Presidential Advisory From the American Heart Association 2024 · 95 citations
950+6+13Years since publication2505007501000

Peers

Daniel B. Mark
Comparison fields: 5 of 216
  • Cardiology and Cardiovascular Medicine 33.3k
  • Radiology, Nuclear Medicine and Imaging 12.0k
  • Critical Care and Intensive Care Medicine 1.9k
  • Surgery 13.2k
  • Internal Medicine 940
Replace Peter Jüni with:
Peter Jüni Switzerland
Ramachandran S. Vasan United States
Lee Goldman United States
Bernard J. Gersh United States
Josef Coresh United States
Diederick E. Grobbee Netherlands
Eugene H. Blackstone United States
John Deanfield United Kingdom
Emelia J. Benjamin United States
Tom Greene United States
Daniel B. Mark relative to Peter Jüni Switzerland Peter Jüni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Mark

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel B. Mark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel B. Mark Line = papers co-authored together Daniel B. Mark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 497 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
Hit paper breakdown →
19967536
2
Amiodarone or an Implantable Cardioverter–Defibrillator for Congestive Heart Failure
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20054397
3
ACC/AHA 2002 Guideline Update for Exercise Testing: Summary Article
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20021895
4
Longitudinal Assessment of Neurocognitive Function after Coronary-Artery Bypass Surgery
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20011409
5
A brief self-administered questionnaire to determine functional capacity (The Duke Activity Status Index)
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19891171
6
Depression and Coronary Heart Disease
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20081016
7
Prognostic Importance of Defibrillator Shocks in Patients with Heart Failure
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2008979
8
ACC/AHA 2002 guideline update for exercise testing: summary article
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2002879
9
Outcomes of Anatomical versus Functional Testing for Coronary Artery Disease
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2015846
10
ACC/AHA Guidelines for Exercise Testing: Executive Summary
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1997844
11
Clopidogrel Use and Long-term Clinical Outcomes After Drug-Eluting Stent Implantation
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2006623
12
ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography
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2010609
13
Prognostic Value of a Treadmill Exercise Score in Outpatients with Suspected Coronary Artery Disease
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1991550
14 2003490
15 1993485
16
ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography
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2010468
17 1997432
18
Exercise Treadmill Score for Predicting Prognosis in Coronary Artery Disease
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1987429
19 1995416
20
TUTORIAL IN BIOSTATISTICS MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
1996397

About Daniel B. Mark

Daniel B. Mark is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Economics and Econometrics and General Health Professions, having authored 497 papers that have together received 52.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (124 papers), Acute Myocardial Infarction Research (104 papers), Cardiac pacing and defibrillation studies (92 papers), Health Systems, Economic Evaluations, Quality of Life (72 papers), Coronary Interventions and Diagnostics (67 papers), Cardiac electrophysiology and arrhythmias (66 papers), Cardiac Arrhythmias and Treatments (64 papers) and Cardiac Health and Mental Health (52 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (33.3k citations), Radiology, Nuclear Medicine and Imaging (12.0k citations), Critical Care and Intensive Care Medicine (1.9k citations), Surgery (13.2k citations) and Internal Medicine (940 citations). Daniel B. Mark has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kerry L. Lee, Frank E. Harrell, Mark A. Hlatky, David B. Pryor, Robert M. Califf, Jeanne E. Poole, Gust H. Bardy, Nancy E. Clapp‐Channing, Jill Anderson and Eric D. Peterson. Their work appears in journals such as Journal of the American College of Cardiology, American Heart Journal, Circulation, The American Journal of Cardiology and New England Journal of Medicine.

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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