Irit Huber

37 papers receiving 4.6k citations

Irit Huber's Hit Papers

Modelling the long QT syndrome with induced pluripotent stem cells 2011 · 767 citations
7670+7+14Years since publication250500750

Peers

Irit Huber
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.1k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Molecular Biology 3.4k
  • Cell Biology 629
  • Surgery 1.4k
Replace Ji‐Dong Fu with:
Ji‐Dong Fu United States
Izhak Kehat Israel
Patrizia Camelliti United Kingdom
Antje Ebert United States
Jonathon M. Tinsley United Kingdom
Gisela F. Wilson United States
Louise R. Rodino‐Klapac United States
Philipp Sasse Germany
Joel Zupicich United States
Cheston Hsiao United States
Irit Huber relative to Ji‐Dong Fu United States Ji‐Dong Fu's profile →
Citations per field
00.5×3.3×
Ji‐Dong Fu · 1×
Citations per year

Countries citing papers authored by Irit Huber

Since Specialization
Citations

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

Fields of papers citing papers by Irit Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 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 →
2011767
2
Electromechanical integration of cardiomyocytes derived from human embryonic stem cells
Hit paper breakdown →
2004621
3 2007403
4 2009321
5 1995287
6 2004222
7 2007206
8 2008178
9 2019172
10 2012163
11 2011149
12 2013142
13 1997131
14 1996112
15 2015100
16 201967
17 201166
18 201065
19 201264
20 201863

About Irit Huber

Irit Huber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Surgery, having authored 38 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Cardiac electrophysiology and arrhythmias (11 papers), Neuroscience and Neural Engineering (11 papers), Cellular transport and secretion (8 papers), Tissue Engineering and Regenerative Medicine (6 papers), CRISPR and Genetic Engineering (5 papers), Calcium signaling and nucleotide metabolism (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cardiology and Cardiovascular Medicine (1.0k citations), Molecular Biology (3.4k citations), Cell Biology (629 citations) and Surgery (1.4k citations). Irit Huber has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Lior Gepstein, Gil Arbel, Amira Gepstein, Oren Caspi, Izhak Kehat, Ilanit Itzhaki, Dan Cassel, Leonid Maizels, Miriam Rotman and Jonathan Satin. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology, Methods in enzymology on CD-ROM/Methods in enzymology, Stem Cell Reports and Circulation Arrhythmia and Electrophysiology.

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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