Lee Edsall

12.0k citations
19 papers · 5.4k indexed · 2 hit papers · h-index 12
Topics
Genomics and Chromatin Dynamics (5 papers)Epigenetics and DNA Methylation (4 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

Lee Edsall

17 papers receiving 5.4k citations

Hit Papers

Human DNA methylomes at base resolution show widespread e...20092026201420202009201210002.0k3.0k

Peers

Lee Edsall
Comparison fields: 5 of 132
  • Molecular Biology 4.8k
  • Genetics 1.2k
  • Cancer Research 532
  • Plant Science 470
  • Pediatrics, Perinatology and Child Health 337
Replace Leonard Lee with:
Leonard Lee United States
Aimée M. Deaton United States
Robert S. Illingworth United Kingdom
Gert Jan C. Veenstra Netherlands
Bernard Ramsahoye United Kingdom
Miguel R. Branco United Kingdom
Michaël Weber France
Richard Redon France
Colum P. Walsh United Kingdom
Audrey Kim United States
Lee Edsall relative to Leonard Lee United States Leonard Lee's profile →
Citations per field
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Leonard Lee · 1×
Citations per year

Countries citing papers authored by Lee Edsall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lee Edsall

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Edsall. A scholar is included among the top collaborators of Lee Edsall 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 Lee Edsall. Lee Edsall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 10
5 1
6 33
7 4
8 9
9 24
10 43
11 254
12 42
13
A map of the cis-regulatory sequences in the mouse genomebreakdown →
1021
14 56
15 410
16 72
17 45
18 40
19
Human DNA methylomes at base resolution show widespread epigenomic differencesbreakdown →
3371

About Lee Edsall

Lee Edsall is a scholar working on Immunology, Ecological Modeling and Dermatology, having authored 19 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Genetics (1.2k citations) and Cancer Research (532 citations). Lee Edsall has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Bing Ren, Zhen Ye, Leonard Lee, Gary C. Hon, R. David Hawkins, Joseph R. Ecker, Ryan Lister, Mattia Pelizzola, James A. Thomson and Ron Stewart. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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