Grace H. Tabada

789 citations
25 papers · 610 · h-index 12

Impact in

Papers in

    • Cardiac pacing and defibrillation studies 5
    • Heart Failure Treatment and Management 5
    • Atrial Fibrillation Management and Outcomes 3
    • Cardiac Arrhythmias and Treatments 2
    • Cardiac Valve Diseases and Treatments 2
    • Erythropoietin and Anemia Treatment 2

Grace H. Tabada

22 papers receiving 588 citations

Peers

Grace H. Tabada
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 266
  • Internal Medicine 17
  • Endocrinology, Diabetes and Metabolism 57
  • Nephrology 25
  • Health Informatics 4
Replace George Victor Moukarbel with:
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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

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016247
2 201566
3 201846
4 202140
5 202134
6 201727
7 202325
8 202121
9 201720
10 202016
11 201915
12 202014
13 20219
14 20178
15 20197
16 20194
17 20234
18 20162
19 20232
20 20151

About Grace H. Tabada

Grace H. Tabada is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Internal Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 25 papers that have together received 610 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (5 papers), Heart Failure Treatment and Management (5 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Erythropoietin and Anemia Treatment (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Internal Medicine (17 citations), Endocrinology, Diabetes and Metabolism (57 citations), Nephrology (25 citations) and Health Informatics (4 citations). Grace H. Tabada has collaborated with scholars based in United States and China. Frequent co-authors include Alan S. Go, Sue Hee Sung, Matthew D. Solomon, Jamal S. Rana, Joan Chia-Mei Lo, Christie Mitchell Ballantyne, Marc G. Jaffe, Thida C. Tan, Jingrong Yang and Kristi Reynolds. Their work appears in journals such as Journal of the American Heart Association, Journal of the American Geriatrics Society, The American Journal of Cardiology, CHEST Journal and American Heart Journal.

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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