Fides D. Lay

5.8k citations
20 papers · 2.1k indexed · 1 hit paper · h-index 16

Fides D. Lay

20 papers receiving 2.1k citations

Hit Papers

Gene Body Methylation Can Alter Gene Expression and Is a ...8532014202620182022250500750

Peers

Fides D. Lay
Comparison fields: 5 of 102
  • Molecular Biology 1.8k
  • Cancer Research 374
  • Genetics 306
  • Hematology 100
  • Genetics 58
Replace Marta Kulis with:
Marta Kulis Spain
Carmen Brenner Belgium
Rahul Karnik United States
Achim Breiling Germany
Emmanuelle Viré United Kingdom
Kristine Williams Denmark
Pierre‐Olivier Estève United States
Susanne N. Weber Germany
Dinh Diep United States
Eric M. Kallin United States
Fides D. Lay relative to Marta Kulis Spain Marta Kulis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fides D. Lay

Since Specialization
Citations

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

Fields of papers citing papers by Fides D. Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fides D. Lay. 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 Fides D. Lay. The network helps show where Fides D. Lay may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 201993
3 201976
4 201859
5 201866
6 201833
7 201726
8 201717
9 201735
10 201743
11 201714
12 201615
13 201689
14 20161
15 201575
16 201414
17
Gene Body Methylation Can Alter Gene Expression and Is a Therapeutic Target in Cancerbreakdown →
2014853
18 2012326
19 2010244
20 200927

About Fides D. Lay

Fides D. Lay is a scholar working on Developmental Biology, Molecular Biology, Genetics, Sensory Systems and Immunology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (5 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (374 citations), Genetics (306 citations), Hematology (100 citations) and Genetics (58 citations). Fides D. Lay has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Peter A. Jones, Gangning Liang, Han Han, Xiaojing Yang, Daniel D. De Carvalho, Theresa K. Kelly, Benjamin P. Berman, Yaping Liu, Peggy Farnham and Suhn K. Rhie. Their work appears in journals such as Genome Research, Molecular Cell, Molecular Therapy, Scientific Reports and Gene.

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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