Chen Lesnik

583 citations
7 papers · 306 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Mitochondrial Function and Pathology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • ATP Synthase and ATPases Research
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering

Papers in

    • RNA and protein synthesis mechanisms 4
    • Mitochondrial Function and Pathology 4
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 1
    • RNA regulation and disease 1
    • Genetics, Aging, and Longevity in Model Organisms 2

Chen Lesnik

7 papers receiving 306 citations

Peers

Chen Lesnik
Comparison fields: 5 of 45
  • Aging 31
  • Molecular Biology 272
  • Clinical Biochemistry 14
  • Cell Biology 31
  • Endocrine and Autonomic Systems 10
Replace Corinne L. Pender with:
Corinne L. Pender United States
Rebecca C. Adikes United States
Ryan R. Cupo United States
Eva Diana Runkel Germany
Jennifer Schleit United States
Umut Cagin France
Saroj G. Regmi United States
Abigail Buchwalter United States
Kristin Arnsburg Germany
Gergana Shipkovenska United States
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Citations per field
00.5×4.5×
Corinne L. Pender · 1×
Citations per year

Countries citing papers authored by Chen Lesnik

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lesnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Chen Lesnik, 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 Chen Lesnik Line = papers co-authored together Chen Lesnik links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Chen Lesnik

Chen Lesnik is a scholar working on Molecular Biology, Aging, Cell Biology, Genetics and Infectious Diseases, having authored 7 papers that have together received 306 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Mitochondrial Function and Pathology (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Muscle metabolism and nutrition (1 paper), CRISPR and Genetic Engineering (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Aging (31 citations), Molecular Biology (272 citations), Clinical Biochemistry (14 citations), Cell Biology (31 citations) and Endocrine and Autonomic Systems (10 citations). Chen Lesnik has collaborated with scholars based in Israel and United States. Frequent co-authors include Yoav Arava, Yifat Cohen, Avigail Atir-Lande, Maya Schuldiner, Rachel Kaletsky, Coleen T. Murphy, Rebecca S. Moore, Zemer Gitai, Lance Parsons and Yael Mandel‐Gutfreund. Their work appears in journals such as Nature Communications, Journal of Visualized Experiments, Cell, Nature Metabolism and RNA Biology.

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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