Gil Arbel

6.2k citations
33 papers · 5.0k · 2 hit papers · h-index 22

Impact in

Papers in

Gil Arbel

32 papers receiving 4.8k citations

Gil Arbel's Hit Papers

Modelling the long QT syndrome with induced pluripotent stem cells 2011 · 811 citations
8110+7+14Years since publication250500750

Peers

Gil Arbel
Comparison fields: 5 of 110
  • Biomaterials 893
  • Cellular and Molecular Neuroscience 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Surgery 2.0k
  • Molecular Biology 3.3k
Replace Lil Pabon with:
Lil Pabon United States
Irit Huber Israel
Robert Passier Netherlands
Izhak Kehat Israel
Ji‐Dong Fu United States
Veronica Muskheli United States
Dorien Ward‐van Oostwaard Netherlands
Oscar J. Abilez United States
Elina Minami United States
Milena Bellin Netherlands
Gil Arbel relative to Lil Pabon United States Lil Pabon's profile →
Citations per field
00.5×1.5×
Lil Pabon · 1×
Citations per year

Countries citing papers authored by Gil Arbel

Since Specialization
Citations

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

Fields of papers citing papers by Gil Arbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modelling the long QT syndrome with induced pluripotent stem cells
Hit paper breakdown →
2011811
2
Electromechanical integration of cardiomyocytes derived from human embryonic stem cells
Hit paper breakdown →
2004680
3 2007472
4 2007440
5 2009340
6 2004236
7 2007217
8 2009205
9 2008186
10 2019174
11 2012171
12 2011155
13 2013147
14 2008143
15 2015104
16 201171
17 201970
18 201267
19 201865
20 200249

About Gil Arbel

Gil Arbel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 33 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Neuroscience and Neural Engineering (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Tissue Engineering and Regenerative Medicine (9 papers), 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), CRISPR and Genetic Engineering (4 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Biomaterials (893 citations), Cellular and Molecular Neuroscience (1.2k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Surgery (2.0k citations) and Molecular Biology (3.3k citations). Gil Arbel has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Lior Gepstein, Amira Gepstein, Oren Caspi, Irit Huber, Ilanit Itzhaki, Izhak Kehat, Jonathan Satin, Leonid Maizels, Manhal Habib and Limor Zwi‐Dantsis. Their work appears in journals such as Journal of the American College of Cardiology, Stem Cell Reports, Circulation, Circulation Research and Tissue Engineering Part A.

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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