John Garcia

3.1k citations
16 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Cardiomyopathy and Myosin Studies (6 papers)Cardiac electrophysiology and arrhythmias (5 papers)Genomics and Rare Diseases (3 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

John Garcia

16 papers receiving 1.2k citations

Hit Papers

Sherloc: a comprehensive refinement of the ACMG–AMP varia...20172026202020232017100200300400

Peers

John Garcia
Comparison fields: 5 of 71
  • Molecular Biology 597
  • Cardiology and Cardiovascular Medicine 553
  • Genetics 441
  • Cancer Research 129
  • Oncology 106
Replace Ozge Ceyhan‐Birsoy with:
Ozge Ceyhan‐Birsoy United States
Karin Y. van Spaendonck‐Zwarts Netherlands
Kristiina Avela Finland
Ludmila Matyakhina United States
Hermine A. van Duyvenvoorde Netherlands
Mine Arslan‐Kirchner Germany
Irene Bottillo Italy
Martin P. Powers United States
Dennis J. Chia United States
Marjolein Kriek Netherlands
John Garcia relative to Ozge Ceyhan‐Birsoy United States Ozge Ceyhan‐Birsoy's profile →
Citations per field
00.5×3.8×
Ozge Ceyhan‐Birsoy · 1×
Citations per year

Countries citing papers authored by John Garcia

Since Specialization
Citations

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

Fields of papers citing papers by John Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of John Garcia. A scholar is included among the top collaborators of John Garcia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Garcia. John Garcia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 1
3 9
4 36
5 71
6 6
7 10
8 204
9 210
10 68
11 129
12
Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteriabreakdown →
465
13 1
14 19
15 24
16
[Pheochromocytoma].
1

About John Garcia

John Garcia is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Cancer Research, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (553 citations), Genetics (441 citations) and Molecular Biology (597 citations). John Garcia has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Scott Topper, Keith Nykamp, Yuya Kobayashi, Blanca Herrera, Nila Patil, Michael J. Anderson, Janita Thusberg, Martin P. Powers, Yuan-Yuan Ho and M. Jody Westbrook. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.

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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