Irit Orr

28 papers receiving 822 citations

Peers

Irit Orr
Comparison fields: 5 of 92
  • Developmental Neuroscience 45
  • Cellular and Molecular Neuroscience 153
  • Molecular Biology 543
  • Cell Biology 117
  • Physiology 32
Replace Alex Sobko with:
Alex Sobko Russia
Timothy J. Manning United States
Diane Savaria Canada
Robert Wade United States
Stephanie E. Kong United States
Yogambal Srinivasan United States
Penny E. Shockett United States
Toshihiko Hanada United States
John C. Zwaagstra Canada
Valentina A. Valova Australia
Irit Orr relative to Alex Sobko Russia Alex Sobko's profile →
Citations per field
00.5×3.1×
Alex Sobko · 1×
Citations per year

Countries citing papers authored by Irit Orr

Since Specialization
Citations

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

Fields of papers citing papers by Irit Orr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996117
2 200699
3 201766
4 200659
5 201857
6 200752
7 200946
8 199644
9 200943
10 200838
11 201831
12 199630
13 201523
14 201518
15 199117
16 199115
17 199314
18 200513
19 201513
20 20109

About Irit Orr

Irit Orr is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 28 papers that have together received 834 indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (11 papers), Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (3 papers), Neuroscience and Neural Engineering (3 papers), Mitochondrial Function and Pathology (3 papers), Trypanosoma species research and implications (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Developmental Neuroscience (45 citations), Cellular and Molecular Neuroscience (153 citations), Molecular Biology (543 citations), Cell Biology (117 citations) and Physiology (32 citations). Irit Orr has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Varda Shoshan‐Barmatz, Ofer Yifrach, Ludwig M.G. Heilmeyer, Magdolna Varsányi, Orly Reiner, Tamar Sapir, Wei Feng, Frédéric M. Coquelle, Talia Levy and Naama Barkai. Their work appears in journals such as Biochemical Journal, Biophysical Journal, Journal of Molecular Biology, PLoS ONE and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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