Dan Xu

40 total papers · 1.3k total citations
35 papers, 982 citations indexed

About

Dan Xu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Dan Xu has authored 35 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Dan Xu's work include Photodynamic Therapy Research Studies (6 papers), Nanoplatforms for cancer theranostics (4 papers) and Mitochondrial Function and Pathology (4 papers). Dan Xu is often cited by papers focused on Photodynamic Therapy Research Studies (6 papers), Nanoplatforms for cancer theranostics (4 papers) and Mitochondrial Function and Pathology (4 papers). Dan Xu collaborates with scholars based in China, Hong Kong and United Kingdom. Dan Xu's co-authors include Wentao Lai, Yuanyuan Guo, Shu‐xian Xu, Yang‐hui Liu, Sheng Wang, Wenfeng Deng, Qi-fan Yang, Jie Zhao, Xin‐hui Xie and Fu‐Sheng He and has published in prestigious journals such as Nature Communications, Psychological Medicine and Journal of Affective Disorders.

In The Last Decade

Dan Xu

33 papers receiving 972 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 Xu 524 218 175 153 145 35 982
Feng Yang 440 0.8× 95 0.4× 92 0.5× 138 0.9× 106 0.7× 61 1.2k
Paulina Wigner 362 0.7× 270 1.2× 65 0.4× 125 0.8× 124 0.9× 38 976
Xiang Chen 505 1.0× 215 1.0× 95 0.5× 62 0.4× 107 0.7× 48 928
Xueyi Chen 518 1.0× 185 0.8× 228 1.3× 287 1.9× 140 1.0× 29 1.1k
Lars Ohlsson 408 0.8× 206 0.9× 94 0.5× 48 0.3× 147 1.0× 33 1.0k
Judith Weidenhofer 471 0.9× 238 1.1× 171 1.0× 37 0.2× 56 0.4× 28 971
Cecil E. Kirkland 376 0.7× 54 0.2× 156 0.9× 66 0.4× 109 0.8× 47 899
Deqin Geng 442 0.8× 92 0.4× 100 0.6× 50 0.3× 99 0.7× 56 1.0k
Mohammad Reza Parizadeh 310 0.6× 97 0.4× 53 0.3× 78 0.5× 127 0.9× 39 1.2k
Zhe Zhang 608 1.2× 135 0.6× 122 0.7× 101 0.7× 119 0.8× 35 930

Countries citing papers authored by Dan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Xu

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