Donald McCord

725 citations
12 papers · 567 · h-index 6

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Cardiovascular Health and Disease Prevention 2
    • Takotsubo Cardiomyopathy and Associated Phenomena 2
    • Acute Myocardial Infarction Research 2
    • Cardiac Valve Diseases and Treatments 2
    • Coronary Interventions and Diagnostics 2

Donald McCord

12 papers receiving 547 citations

Peers

Donald McCord
Comparison fields: 5 of 68
  • Internal Medicine 66
  • Oncology 349
  • Biological Psychiatry 28
  • Cardiology and Cardiovascular Medicine 230
  • Epidemiology 183
Replace Sainath Gaddam with:
Sainath Gaddam United States
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Mustafain Meghani United States
Medhat Zaher United States
Murat Ünlü Türkiye
Teeranan Angkananard Thailand
Göktürk İpek Türkiye
Burak Ayça Türkiye
Uğur Küçük Türkiye
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Donald McCord relative to Sainath Gaddam United States Sainath Gaddam's profile →
Citations per field
00.5×1.5×
Sainath Gaddam · 1×
Citations per year

Countries citing papers authored by Donald McCord

Since Specialization
Citations

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

Fields of papers citing papers by Donald McCord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Donald McCord, 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 Donald McCord Line = papers co-authored together Donald McCord links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010413
2 201183
3 201115
4 201614
5 201313
6 20127
7 20145
8 20165
9 20174
10 20103
11 20133
12 20142

About Donald McCord

Donald McCord is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 12 papers that have together received 567 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Blood properties and coagulation (2 papers), Acute Myocardial Infarction Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Internal Medicine (66 citations), Oncology (349 citations), Biological Psychiatry (28 citations), Cardiology and Cardiovascular Medicine (230 citations) and Epidemiology (183 citations). Donald McCord has collaborated with scholars based in United States and Lebanon. Frequent co-authors include James Lafferty, Estelle Torbey, Basem Azab, Kera F. Weiserbs, Sainath Gaddam, Medhat Zaher, Duccio Baldari, Georges Khoueiry, Joseph T. McGinn and Rana Bachir. Their work appears in journals such as Cardiology, Heart & Lung, American Journal of Hypertension, The American Journal of Cardiology and Congenital Heart Disease.

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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