Jason M. Shohet

3.9k citations
55 papers · 2.7k indexed · h-index 29
  • Neurology top 1%
    • Neuroblastoma Research and Treatments 45
    • Cancer, Hypoxia, and Metabolism 18
  • Oncology top 5%
    • Cancer-related Molecular Pathways 16
    • Cancer therapeutics and mechanisms 7
    • Ubiquitin and proteasome pathways 6
    • Protein Degradation and Inhibitors 5
    • Signaling Pathways in Disease 5
  • Cell Biology top 10%
    • Virus-based gene therapy research 7

Jason M. Shohet

55 papers receiving 2.6k citations

Peers

Jason M. Shohet
Comparison fields: 5 of 101
  • Neurology 1.1k
  • Cancer Research 977
  • Oncology 798
  • Molecular Biology 1.8k
  • Cell Biology 186
Replace Alexandre Chlenski with:
Alexandre Chlenski United States
Guido Reifenberger Germany
Chunhui Di United States
Rajeev Vibhakar United States
Joyce M. Yamashiro United States
Gayatry Mohapatra United States
Yanlin Yu United States
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Jason M. Shohet relative to Alexandre Chlenski United States Alexandre Chlenski's profile →
Citations per field
00.5×4.3×
Alexandre Chlenski · 1×
Citations per year

Countries citing papers authored by Jason M. Shohet

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Shohet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Shohet. 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 Jason M. Shohet. The network helps show where Jason M. Shohet may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20244
4 202117
5 202131
6 20203
7 201828
8 201720
9 201741
10 201783
11 201572
12 201518
13
The MYCN/miR-26a-5p/LIN28B regulatory axis controls MYCN-driven LIN28B upregulation in neuroblastoma
20141
14 201433
15 201344
16 201348
17 201157
18 201156
19 2008232
20 20008

About Jason M. Shohet

Jason M. Shohet is a scholar working on Neurology, Cancer Research and Oncology, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (45 papers), Cancer, Hypoxia, and Metabolism (18 papers), Cancer-related Molecular Pathways (16 papers), Virus-based gene therapy research (7 papers), Cancer therapeutics and mechanisms (7 papers), Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (5 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Neurology (1.1k citations), Cancer Research (977 citations) and Oncology (798 citations). Jason M. Shohet has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Chrystal U. Louis, Zaowen Chen, Andrew Slack, Eugene S. Kim, Saurabh Agarwal, Eveline Barbieri, Preethi H. Gunaratne, John Hicks, Rajib Ghosh and Andrea Pession. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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