Grace H. Tabada

744 citations
22 papers · 502 indexed · h-index 12

Impact in

Papers in

    • Heart Failure Treatment and Management 9
    • Cardiac pacing and defibrillation studies 4
    • Cardiac Arrhythmias and Treatments 4
    • Atrial Fibrillation Management and Outcomes 4
    • Cardiac electrophysiology and arrhythmias 4
    • Cardiac Valve Diseases and Treatments 2
    • Cardiovascular Function and Risk Factors 2

Grace H. Tabada

20 papers receiving 493 citations

Peers

Grace H. Tabada
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 309
  • Internal Medicine 27
  • Health Informatics 7
  • Endocrinology, Diabetes and Metabolism 84
  • Nephrology 26
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Citations per year

Countries citing papers authored by Grace H. Tabada

Since Specialization
Citations

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

Fields of papers citing papers by Grace H. Tabada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace H. Tabada. 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 Grace H. Tabada. The network helps show where Grace H. Tabada may publish in the future.

Co-authors

The 25 scholars most cited alongside Grace H. Tabada, 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 Grace H. Tabada Line = papers co-authored together Grace H. Tabada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 202317
4 20230
5 20221
6 202119
7 202133
8 20216
9 202125
10 202014
11 202014
12 20201
13 20196
14 201914
15
Abstract 12623: A New ASCVD Risk Estimator is More Accurate Than the ACC/AHA Pooled Cohort Equation in Four Diverse Community-Based Populations in the U.S. and Canada
20181
16 201837
17 201725
18 20177
19 2016215
20 201549

About Grace H. Tabada

Grace H. Tabada is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Nephrology, Hematology and Emergency Medical Services, having authored 22 papers that have together received 502 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (9 papers), Cardiac pacing and defibrillation studies (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Chronic Disease Management Strategies (3 papers), Cardiac Valve Diseases and Treatments (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (309 citations), Internal Medicine (27 citations), Health Informatics (7 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Nephrology (26 citations). Grace H. Tabada has collaborated with scholars based in United States. Frequent co-authors include Alan S. Go, Sue Hee Sung, Matthew D. Solomon, Jamal S. Rana, Joan C. Lo, Christie M. Ballantyne, Marc G. Jaffe, Thida C. Tan, Kristi Reynolds and Jingrong Yang. Their work appears in journals such as Journal of the American Heart Association, The American Journal of Cardiology, CHEST Journal, JAMA Network Open and Journal of Hypertension.

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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