Lingyi Chen

3.8k citations
78 papers · 3k · 1 hit paper · h-index 22

Impact in

    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • Developmental Biology and Gene Regulation
    • DNA and Nucleic Acid Chemistry

Papers in

    • Pluripotent Stem Cells Research 26
    • Genomics and Chromatin Dynamics 9
    • Developmental Biology and Gene Regulation 5
    • Epigenetics and DNA Methylation 5
    • Cancer-related molecular mechanisms research 5

Lingyi Chen

73 papers receiving 2.9k citations

Lingyi Chen's Hit Papers

A genomic code for nucleosome positioning 2006 · 1.1k citations
1.1k0+6+13Years since publication2505007501k

Peers

Lingyi Chen
Comparison fields: 5 of 109
  • Molecular Biology 2.2k
  • Cancer Research 109
  • Aging 12
  • Cell Biology 87
  • Oncology 120
Replace Babylakshmi Muthusamy with:
Babylakshmi Muthusamy India
Christian Kukat Germany
Valentina Proserpio Italy
Oliver Mühlemann Switzerland
Gernot Längst Germany
Arne H. Smits Netherlands
Vedran Franke Germany
Tingting Yao United States
Lingyi Chen relative to Babylakshmi Muthusamy India Babylakshmi Muthusamy's profile →
Citations per field
00.5×1.5×2.0×
Babylakshmi Muthusamy · 1×
Citations per year

Countries citing papers authored by Lingyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A genomic code for nucleosome positioning
Hit paper breakdown →
20061146
2 2015163
3 2018141
4 2008139
5 2009125
6 2014100
7 200999
8 201585
9 201180
10 201878
11 201075
12 200573
13 201449
14 201244
15 201736
16 201335
17 201435
18 201632
19 201828
20 200926

About Lingyi Chen

Lingyi Chen is a scholar working on Molecular Biology, Cancer Research, Signal Processing, Genetics and Cell Biology, having authored 78 papers that have together received 3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (26 papers), Genomics and Chromatin Dynamics (9 papers), Cancer-related molecular mechanisms research (5 papers), Developmental Biology and Gene Regulation (5 papers), Epigenetics and DNA Methylation (5 papers), Advanced Data Compression Techniques (4 papers), Video Coding and Compression Technologies (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Cancer Research (109 citations), Aging (12 citations), Cell Biology (87 citations) and Oncology (120 citations). Lingyi Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jonathan Widom, Irene K. Moore, Yvonne N. Fondufe‐Mittendorf, Yair Field, Eran Segal, George Q. Daley, Akiko Yabuuchi, Chi-Wei Lu, Lin Liu and Zhaoting Wu. Their work appears in journals such as Scientific Reports, Cell Research, Stem Cell Reports, Proceedings of the National Academy of Sciences and Nucleic Acids 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.

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