Bruna Gomes

454 citations
24 papers · 306 · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Cardiac Valve Diseases and Treatments
    • Cardiovascular Function and Risk Factors
    • Cardiac electrophysiology and arrhythmias
    • Heart Failure Treatment and Management

Papers in

Bruna Gomes

20 papers receiving 294 citations

Peers

Bruna Gomes
Comparison fields: 5 of 78
  • Health Informatics 19
  • Cardiology and Cardiovascular Medicine 139
  • Pulmonary and Respiratory Medicine 48
  • Biochemistry 9
  • Epidemiology 42
Replace Mark Lachmann with:
Mark Lachmann Germany
Yuri Ahuja United States
Fnu Sapna United States
Shuai Jin China
Yixin Chen China
Farhan Chaudhry United States
Ashraf Hafez United States
Iain S. Forrest United States
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Yifei Huang Australia
Bruna Gomes relative to Mark Lachmann Germany Mark Lachmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bruna Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Bruna Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202385
2 201652
3 201833
4 202032
5 201831
6 202317
7 202114
8 201811
9 201710
10 20186
11 20142
12 20182
13 20182
14 20232
15 20252
16 20111
17 20191
18 20201
19 20241
20 20261

About Bruna Gomes

Bruna Gomes is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Geriatrics and Gerontology and Health Information Management, having authored 24 papers that have together received 306 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Cardiovascular Function and Risk Factors (4 papers), Atrial Fibrillation Management and Outcomes (2 papers), Nutrition and Health in Aging (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Health and Lifestyle Studies (2 papers), Software Engineering Techniques and Practices (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (19 citations), Cardiology and Cardiovascular Medicine (139 citations), Pulmonary and Respiratory Medicine (48 citations), Biochemistry (9 citations) and Epidemiology (42 citations). Bruna Gomes has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Euan Angus Ashley, Hugo Albert Katus, Benjamin Meder, Florian Leuschner, Raffi Bekeredjian, Nicolas A. Geis, Emmanuel Chorianopoulos, Rogério Souza, Mathias H. Konstandin and Maximilian Pilz. Their work appears in journals such as Journal of Interventional Cardiology, Basic Research in Cardiology, Nature Genetics, Scientific Reports and JAMA Cardiology.

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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