Lee Edsall
Impact in
- Molecular Biology top 1%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Genetics top 1%
- Genetic Syndromes and Imprinting
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Pluripotent Stem Cells Research 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Bing Ren (8 shared papers)Zhen Ye (6 shared papers)Leonard Lee (2 shared papers)Gary C. Hon (4 shared papers)Joseph R. Ecker (3 shared papers)R. David Hawkins (3 shared papers)Mattia Pelizzola (2 shared papers)Ryan Lister (2 shared papers)
- Journals
- Nature (3 papers)Nucleic Acids Research (2 papers)Genome Research (2 papers)Nature Communications (1 paper)Cell Research (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Lee Edsall
20 papers receiving 5.6k citations
Lee Edsall's Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 4.7k
- Genetics 1.2k
- Cancer Research 475
- Pediatrics, Perinatology and Child Health 302
- Aging 24
Countries citing papers authored by Lee Edsall
This map shows the geographic impact of Lee Edsall'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 Lee Edsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Edsall more than expected).
Fields of papers citing papers by Lee Edsall
This network shows the impact of papers produced by Lee Edsall. 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 Lee Edsall. The network helps show where Lee Edsall may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Edsall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Human DNA methylomes at base resolution show widespread epigenomic differences Hit paper breakdown → | 2009 | 3397 |
| 2 | A map of the cis-regulatory sequences in the mouse genome Hit paper breakdown → | 2012 | 1023 |
| 3 | 2011 | 414 | |
| 4 | 2014 | 261 | |
| 5 | 2015 | 149 | |
| 6 | 2011 | 72 | |
| 7 | 2012 | 57 | |
| 8 | 2010 | 46 | |
| 9 | 2015 | 44 | |
| 10 | 2012 | 42 | |
| 11 | 2010 | 40 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 24 | |
| 14 | 2022 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2024 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Lee Edsall
Lee Edsall is a scholar working on Molecular Biology, Immunology, Surgery, Pharmacology and Dermatology, having authored 20 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (4 papers), T-cell and B-cell Immunology (3 papers), Cancer-related gene regulation (3 papers), Immune Cell Function and Interaction (3 papers), Pluripotent Stem Cells Research (2 papers), Dermatology and Skin Diseases (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Genetics (1.2k citations), Cancer Research (475 citations), Pediatrics, Perinatology and Child Health (302 citations) and Aging (24 citations). Lee Edsall has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Bing Ren, Zhen Ye, Leonard Lee, Gary C. Hon, Joseph R. Ecker, R. David Hawkins, Mattia Pelizzola, Ryan Lister, James A. Thomson and Jessica Antosiewicz‐Bourget. Their work appears in journals such as Nature, Nucleic Acids Research, Genome Research, Nature Communications and Cell Research.
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.