Jerome E. Lee

405 citations
7 papers · 323 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Muscle Physiology and Disorders
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 3
    • Muscle Physiology and Disorders 2
    • RNA modifications and cancer 2
    • Genomics and Chromatin Dynamics 1
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2

Jerome E. Lee

7 papers receiving 321 citations

Peers

Jerome E. Lee
Comparison fields: 5 of 43
  • Cancer Research 83
  • Molecular Biology 293
  • Cellular and Molecular Neuroscience 42
  • Aging 3
  • Genetics 16
Replace Miguel B. Coelho with:
Miguel B. Coelho United Kingdom
Jérôme O. Rouvière Denmark
Matthew L. Kraushar United States
SoHui Kim Israel
Xinran Feng China
Christiane Klebig Germany
Susan Michalowski United States
Rhishikesh Bargaje United States
Min Xin China
Chiharu Tanegashima Japan
Jerome E. Lee relative to Miguel B. Coelho United Kingdom Miguel B. Coelho's profile →
Citations per field
00.5×3.8×
Miguel B. Coelho · 1×
Citations per year

Countries citing papers authored by Jerome E. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jerome E. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerome E. Lee. 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 Jerome E. Lee. The network helps show where Jerome E. Lee may publish in the future.

Co-authors

The 15 scholars most cited alongside Jerome E. Lee, 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 Jerome E. Lee Line = papers co-authored together Jerome E. Lee links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Jerome E. Lee

Jerome E. Lee is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 7 papers that have together received 323 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), Muscle Physiology and Disorders (2 papers), RNA modifications and cancer (2 papers), Genetic Neurodegenerative Diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Viral Infections and Immunology Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (83 citations), Molecular Biology (293 citations), Cellular and Molecular Neuroscience (42 citations), Aging (3 citations) and Genetics (16 citations). Jerome E. Lee has collaborated with scholars based in United States and Israel. Frequent co-authors include Jeffrey Wilusz, Carol J. Wilusz, Ju Youn Lee, Bin Tian, Libin Zhang, Rui Yi, Kent Riemondy, Emily M. Anderson, Jingjing Wang and Eric C. Lai. Their work appears in journals such as PLoS ONE, Nature Communications, Journal of Visualized Experiments, Journal of Biological Chemistry and PLoS Genetics.

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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