Guangping Wu

71 total papers · 762 total citations
50 papers, 546 citations indexed

About

Guangping Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Guangping Wu has authored 50 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Guangping Wu's work include RNA modifications and cancer (9 papers), Lung Cancer Research Studies (6 papers) and Cancer-related molecular mechanisms research (5 papers). Guangping Wu is often cited by papers focused on RNA modifications and cancer (9 papers), Lung Cancer Research Studies (6 papers) and Cancer-related molecular mechanisms research (5 papers). Guangping Wu collaborates with scholars based in China, United States and Canada. Guangping Wu's co-authors include Enhua Wang, Xueshan Qiu, Xin Huang, Shuai Mao, Xin Yin, Liheng Guo, Mingzhe Wu, Huanyu Zhao, Ling He and Yibo Fan and has published in prestigious journals such as PLoS ONE, Medicine and Human Pathology.

In The Last Decade

Guangping Wu

48 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Guangping Wu 237 136 129 116 114 50 546
Luo Yang 257 1.1× 59 0.4× 148 1.1× 132 1.1× 104 0.9× 41 602
Meng Sun 212 0.9× 56 0.4× 173 1.3× 113 1.0× 121 1.1× 43 582
Ran Hong 202 0.9× 137 1.0× 113 0.9× 65 0.6× 163 1.4× 55 598
Mohammad Arafa 223 0.9× 132 1.0× 50 0.4× 128 1.1× 130 1.1× 44 583
Hongmei Wang 154 0.6× 108 0.8× 82 0.6× 58 0.5× 70 0.6× 68 579
Antonios Koutras 199 0.8× 59 0.4× 63 0.5× 89 0.8× 68 0.6× 49 460
Lindsay Alpert 138 0.6× 112 0.8× 109 0.8× 56 0.5× 180 1.6× 47 566
Rui Zhong 233 1.0× 110 0.8× 54 0.4× 136 1.2× 51 0.4× 36 482
Natsuko Suzui 166 0.7× 98 0.7× 103 0.8× 79 0.7× 173 1.5× 40 568
Bing Gao 265 1.1× 129 0.9× 89 0.7× 103 0.9× 124 1.1× 43 583

Countries citing papers authored by Guangping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guangping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangping Wu

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