Dong Pan

24 total papers · 689 total citations
15 papers, 513 citations indexed

About

Dong Pan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Dong Pan has authored 15 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in Dong Pan's work include Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (4 papers) and Epigenetics and DNA Methylation (2 papers). Dong Pan is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (4 papers) and Epigenetics and DNA Methylation (2 papers). Dong Pan collaborates with scholars based in China, United States and Canada. Dong Pan's co-authors include Chuan‐Yuan Li, Mengjie Hu, Xuhui Bao, Meng Jiao, Xinjian Liu, Min Zhou, Fang Li, Yi Jia, Zegang Ma and Angela Hu and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Journal of Neurophysiology.

In The Last Decade

Dong Pan

15 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Dong Pan 322 165 143 125 83 15 513
Jana Šáchová 304 0.9× 105 0.6× 134 0.9× 183 1.5× 43 0.5× 20 580
Licai He 352 1.1× 97 0.6× 117 0.8× 127 1.0× 50 0.6× 21 532
Hexiao Wang 345 1.1× 66 0.4× 134 0.9× 135 1.1× 56 0.7× 18 532
Longjiang Xu 292 0.9× 195 1.2× 241 1.7× 185 1.5× 54 0.7× 22 617
Weiwei Du 294 0.9× 115 0.7× 88 0.6× 142 1.1× 99 1.2× 16 573
Tzu‐Yang Weng 366 1.1× 112 0.7× 228 1.6× 143 1.1× 101 1.2× 15 567
Liping Yang 242 0.8× 101 0.6× 135 0.9× 202 1.6× 86 1.0× 21 547
C-W Wu 284 0.9× 134 0.8× 159 1.1× 168 1.3× 86 1.0× 10 594
Waldemir Fernandes de Souza 370 1.1× 88 0.5× 173 1.2× 192 1.5× 38 0.5× 13 601
Adeline Ledoux 339 1.1× 78 0.5× 142 1.0× 126 1.0× 37 0.4× 10 542

Countries citing papers authored by Dong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Pan

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