Dehong Wu

43 total papers · 804 total citations
27 papers, 520 citations indexed

About

Dehong Wu is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Dehong Wu has authored 27 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Rheumatology. Recurrent topics in Dehong Wu's work include Systemic Lupus Erythematosus Research (5 papers), Pharmacological Effects of Natural Compounds (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Dehong Wu is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Pharmacological Effects of Natural Compounds (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Dehong Wu collaborates with scholars based in China, Macao and United States. Dehong Wu's co-authors include Xiang He, Junyi Wang, Anying Xiong, Ran Qin, Guoping Li, Lei Zhang, Christopher Chang, Feng Chen, Jinlyu Sun and Jia Zhou and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The FASEB Journal.

In The Last Decade

Dehong Wu

26 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
Dehong Wu 177 161 100 90 69 27 520
Guogang Xie 116 0.7× 163 1.0× 89 0.9× 117 1.3× 42 0.6× 23 463
Annabelle Dupont 76 0.4× 152 0.9× 121 1.2× 103 1.1× 45 0.7× 33 597
Gael B. Morrow 200 1.1× 74 0.5× 123 1.2× 45 0.5× 93 1.3× 17 497
Lusia Sepiashvili 137 0.8× 157 1.0× 51 0.5× 57 0.6× 65 0.9× 27 474
Zhiwei Xu 73 0.4× 117 0.7× 145 1.4× 93 1.0× 22 0.3× 29 522
Zsolt Fejes 106 0.6× 183 1.1× 95 0.9× 83 0.9× 72 1.0× 41 606
Jesús Beltrán-García 100 0.6× 249 1.5× 44 0.4× 114 1.3× 79 1.1× 23 559
Anying Xiong 177 1.0× 211 1.3× 135 1.4× 78 0.9× 71 1.0× 26 567
Marta Camprubí–Rimblas 114 0.6× 92 0.6× 310 3.1× 66 0.7× 60 0.9× 31 546
Rukiye Nar 125 0.7× 81 0.5× 32 0.3× 47 0.5× 57 0.8× 46 475

Countries citing papers authored by Dehong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehong Wu

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