Ira S. Cohen

14.7k citations
259 papers · 11.3k indexed · h-index 59

Ira S. Cohen

254 papers receiving 10.7k citations

Peers

Ira S. Cohen
Comparison fields: 5 of 163
  • Cardiology and Cardiovascular Medicine 6.7k
  • Cellular and Molecular Neuroscience 3.7k
  • Molecular Biology 6.8k
  • Genetics 661
  • Biomaterials 555
Replace Jürgen Hescheler with:
Jürgen Hescheler Germany
Alan H. Beggs United States
Salvatore DiMauro United States
Peter J. Mohler United States
Søren‐Peter Olesen Denmark
Vincenzo Sorrentino Italy
Joseph M. Metzger United States
Andrew G. Engel United States
Guido Stoll Germany
Yngve Olsson Sweden
Ira S. Cohen relative to Jürgen Hescheler Germany Jürgen Hescheler's profile →
Citations per field
00.5×4.1×
Jürgen Hescheler · 1×
Citations per year

Countries citing papers authored by Ira S. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Ira S. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira S. Cohen. 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 Ira S. Cohen. The network helps show where Ira S. Cohen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202213
2 20212
3 202110
4 201215
5 2011155
6 201124
7
In vivo cellular delivery of siRNA.
20106
8 200938
9 200861
10 200544
11 20021
12 200028
13 19979
14 199552
15 19936
16 19874
17 198427
18 198334
19 198316
20 198138

About Ira S. Cohen

Ira S. Cohen is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 259 papers that have together received 11.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (132 papers), Ion channel regulation and function (121 papers), Neuroscience and Neural Engineering (76 papers), Receptor Mechanisms and Signaling (19 papers), Tissue Engineering and Regenerative Medicine (18 papers), Neuroscience and Neuropharmacology Research (18 papers), Cardiovascular Function and Risk Factors (14 papers) and Electrochemical Analysis and Applications (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (6.7k citations), Cellular and Molecular Neuroscience (3.7k citations) and Molecular Biology (6.8k citations). Ira S. Cohen has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Michael R. Rosen, Peter R. Brink, David McKinnon, Richard B. Robinson, Irina A. Potapova, Sergey V. Doronin, Jane E. Dixon, Richard T. Mathias, Randy S. Wymore and David Attwell. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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