Dan Liang

113 total papers · 3.9k total citations
65 papers, 2.4k citations indexed

About

Dan Liang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Dan Liang has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Public Health, Environmental and Occupational Health and 13 papers in Reproductive Medicine. Recurrent topics in Dan Liang's work include Pluripotent Stem Cells Research (9 papers), Reproductive Biology and Fertility (7 papers) and Mitochondrial Function and Pathology (7 papers). Dan Liang is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), Reproductive Biology and Fertility (7 papers) and Mitochondrial Function and Pathology (7 papers). Dan Liang collaborates with scholars based in China, United States and South Korea. Dan Liang's co-authors include Jinsong Li, Erwin P. Böttinger, Dangsheng Li, Yaw-Ching Yang, Jiří Zavadil, Ester Piek, Susanne Kneitz, Markus Bitzer, Aldo Massimi and Yuxuan Wu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Dan Liang

59 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Liang 1.6k 374 260 230 203 65 2.4k
Mei Wang 1.6k 1.0× 370 1.0× 504 1.9× 205 0.9× 100 0.5× 86 2.6k
Patricia M. Zerfas 1.6k 0.9× 330 0.9× 131 0.5× 104 0.5× 151 0.7× 62 3.4k
Jung Sun Park 1.3k 0.8× 414 1.1× 92 0.4× 554 2.4× 206 1.0× 105 2.1k
Peter J. Malloy 1.1k 0.7× 971 2.6× 144 0.6× 95 0.4× 256 1.3× 52 3.5k
Ignacio Priéto 2.1k 1.3× 352 0.9× 285 1.1× 200 0.9× 630 3.1× 78 3.2k
Guy Cathala 3.0k 1.8× 657 1.8× 382 1.5× 71 0.3× 268 1.3× 58 4.0k
Gang Ning 749 0.5× 189 0.5× 231 0.9× 85 0.4× 98 0.5× 54 2.2k
Dong Lin 1.7k 1.1× 782 2.1× 474 1.8× 192 0.8× 207 1.0× 54 3.6k
Stefano Brancorsini 1.4k 0.9× 492 1.3× 120 0.5× 300 1.3× 205 1.0× 58 2.4k
Michael Ladomery 2.8k 1.7× 278 0.7× 184 0.7× 151 0.7× 307 1.5× 74 3.6k

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

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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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