Dan Liang

3.6k total citations · 1 hit paper
25 papers, 2.3k citations indexed

About

Dan Liang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dan Liang has authored 25 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Dan Liang's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Dan Liang is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Dan Liang collaborates with scholars based in United States, China and Netherlands. Dan Liang's co-authors include Erwin P. Böttinger, Gero von Gersdorff, Markus Bitzer, Amer A. Beg, Marcos Rojkind, Guohong Li, Ping Chen, Ping Zhu, Liping Dong and Feng Song and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dan Liang

25 papers receiving 2.2k citations

Hit Papers

Cryo-EM Study of the Chromatin Fiber Reveals a Double Hel... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Dan Liang
Comparison fields: 5 of 113
  • Molecular Biology 1.8k
  • Genetics 287
  • Oncology 255
  • Cancer Research 215
  • Plant Science 160
Replace Hao Ding with:
Hao Ding Canada
Juan Cadiñanos Spain
Kristina Vintersten Germany
Kyoichi Isono Japan
Markus Schueler Germany
Richard A. Corpina United States
William G. Fairbrother United States
Gerard Merkx Netherlands
Aurora A. Burds United States
Gwenn M. Hansen United States
Hao Ding Canada View profile →
Citations per field, relative to Dan Liang
Dan Liang · 1×
Citations per year, relative to Dan Liang
Dan Liang · 1×

Countries citing papers authored by Dan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Liang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 10
4 4
5 1
6 8
7 43
8 25
9 14
10 50
11 22
12 72
13
Cryo-EM Study of the Chromatin Fiber Reveals a Double Helix Twisted by Tetranucleosomal Units breakdown →
468
14 9
15 178
16
Characterization of Lr34/Yr18, Rht-B1b, Rht-D1b genes in CIMMYT wheat cultivars and advanced lines using STS markers
6
17 44
18 177
19 3
20 148

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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