Dan Xiong

48 total papers · 1.3k total citations
36 papers, 692 citations indexed

About

Dan Xiong is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Dan Xiong has authored 36 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Materials Chemistry. Recurrent topics in Dan Xiong's work include Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). Dan Xiong is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). Dan Xiong collaborates with scholars based in China, United States and Netherlands. Dan Xiong's co-authors include Guoliang Li, Xingwang Li, Weizhi Ouyang, Jun Sun, Yi Liu, L. C. Ming, Murli H. Manghnani, Yong Peng, Wenqiang Li and Shuangqi Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Dan Xiong

33 papers receiving 679 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 Xiong 286 238 66 57 50 36 692
Jiaojiao Zhu 187 0.7× 142 0.6× 40 0.6× 25 0.4× 11 0.2× 54 738
Camilla Fagorzi 259 0.9× 285 1.2× 46 0.7× 22 0.4× 27 0.5× 39 703
Tianshu Wang 215 0.8× 193 0.8× 49 0.7× 31 0.5× 37 0.7× 38 602
R. Klöcking 131 0.5× 101 0.4× 23 0.3× 50 0.9× 127 2.5× 56 780
Jin Liu 180 0.6× 85 0.4× 21 0.3× 19 0.3× 80 1.6× 33 635
Hailong Li 214 0.7× 49 0.2× 73 1.1× 10 0.2× 45 0.9× 46 690
Ya Zhang 213 0.7× 159 0.7× 42 0.6× 30 0.5× 11 0.2× 46 720
Eloi Parladé 223 0.8× 63 0.3× 22 0.3× 38 0.7× 26 0.5× 35 582
Teija Koivula 212 0.7× 147 0.6× 20 0.3× 115 2.0× 35 0.7× 31 701
Xinna Liu 251 0.9× 216 0.9× 34 0.5× 15 0.3× 48 1.0× 39 562

Countries citing papers authored by Dan Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Dan Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Xiong. A scholar is included among the top collaborators of Dan Xiong 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 Xiong. Dan Xiong 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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