Eyal Reinstein

4.2k citations
41 papers · 1.5k indexed · 2 hit papers · h-index 16
Topics
Connective tissue disorders research (10 papers)Ubiquitin and proteasome pathways (8 papers)Cardiomyopathy and Myosin Studies (4 papers)

In The Last Decade

Eyal Reinstein

41 papers receiving 1.5k citations

Hit Papers

Mutation of the E6-AP Ubiquitin Ligase Reduces Nuclear In...199920262008201719992022100200300400

Peers

Eyal Reinstein
Comparison fields: 5 of 97
  • Molecular Biology 1.0k
  • Genetics 359
  • Cellular and Molecular Neuroscience 342
  • Oncology 324
  • Epidemiology 235
Replace Ilse Wieland with:
Ilse Wieland Germany
Deirdre D. Scripture-Adams United States
Pieter Faber United States
Jacqueline E. Payton United States
Nessa Carey United Kingdom
Antoaneta Mincheva Germany
Luciana Chessa Italy
Y. Sawamura Japan
Donna Armentano United States
William E. Jenkinson United Kingdom
Eyal Reinstein relative to Ilse Wieland Germany Ilse Wieland's profile →
Citations per field
00.5×3.0×
Ilse Wieland · 1×
Citations per year

Countries citing papers authored by Eyal Reinstein

Since Specialization
Citations

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

Fields of papers citing papers by Eyal Reinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Reinstein

This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Reinstein. A scholar is included among the top collaborators of Eyal Reinstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eyal Reinstein. Eyal Reinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Frequent aneuploidy in primary human T cells after CRISPR–Cas9 cleavagebreakdown →
122
2 3
3 1
4 7
5 8
6 13
7 21
8 33
9 15
10 12
11 1
12 57
13 10
14 29
15 26
16 12
17 1
18 22
19
Immunologic aspects of protein degradation by the ubiquitin-proteasome system.
22
20 65

About Eyal Reinstein

Eyal Reinstein is a scholar working on Cell Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Connective tissue disorders research (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Molecular Biology (1.0k citations) and Genetics (359 citations). Eyal Reinstein has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Aaron Ciechanover, Alan L. Schwartz, Christopher J. Cummings, Harry T. Orr, Yong‐hui Jiang, Yaling Sun, Huda Y. Zoghbi, Barbara Antalffy, Arthur L. Beaudet and David L. Rimoin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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