Iris Eisenberg

3.3k citations
33 papers · 2.5k · h-index 24

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Muscle Physiology and Disorders 13
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Inflammatory Myopathies and Dermatomyositis 9

Iris Eisenberg

33 papers receiving 2.4k citations

Peers

Iris Eisenberg
Comparison fields: 5 of 100
  • Cancer Research 553
  • Genetics 243
  • Molecular Biology 1.5k
  • Epidemiology 640
  • Cardiology and Cardiovascular Medicine 280
Replace Yonit Lavin with:
Yonit Lavin United States
Richard N. Hanna United States
Sofie De Prijck Belgium
Eugen Radu Romania
Kerby C. Oberg United States
Laurence Legeai‐Mallet France
Khalda Amr Egypt
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V.J. Hyland Australia
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Citations per year

Countries citing papers authored by Iris Eisenberg

Since Specialization
Citations

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

Fields of papers citing papers by Iris Eisenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iris Eisenberg, 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 Iris Eisenberg Line = papers co-authored together Iris Eisenberg 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 2007425
2 2001417
3 2013127
4 2014121
5 2014114
6 2002103
7 200898
8 201797
9 201185
10 200085
11 200382
12 200579
13 199471
14 200467
15 200648
16 200943
17 201643
18 200842
19 199741
20 200837

About Iris Eisenberg

Iris Eisenberg is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Cancer Research and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Cardiomyopathy and Myosin Studies (8 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers), Pregnancy and preeclampsia studies (3 papers), Reproductive Biology and Fertility (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (553 citations), Genetics (243 citations), Molecular Biology (1.5k citations), Epidemiology (640 citations) and Cardiology and Cardiovascular Medicine (280 citations). Iris Eisenberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Stella Mitrani‐Rosenbaum, Louis M. Kunkel, Zohar Argov, Tal Imbar, Menachem Sadeh, Matthew S. Alexander, Peter B. Kang, Hagit Hochner, Tamara Potikha and George Karpati. Their work appears in journals such as Neurology, Reproduction, Biochemical and Biophysical Research Communications, Fertility and Sterility and Proceedings of the National Academy of Sciences.

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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