Shuang Wu

318 total papers · 4.9k total citations
214 papers, 3.4k citations indexed

About

Shuang Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shuang Wu has authored 214 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 37 papers in Pulmonary and Respiratory Medicine and 25 papers in Oncology. Recurrent topics in Shuang Wu's work include Cancer-related molecular mechanisms research (12 papers), Ferroptosis and cancer prognosis (10 papers) and Bioinformatics and Genomic Networks (10 papers). Shuang Wu is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Ferroptosis and cancer prognosis (10 papers) and Bioinformatics and Genomic Networks (10 papers). Shuang Wu collaborates with scholars based in China, United States and Spain. Shuang Wu's co-authors include Jianzhang Zhao, Hulin Wu, Mei Tian, Yuanwei Zhang, Gang Han, Ling Huang, Zhanjun Li, Yang Zhao, Hong Zhang and Shen Fu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Shuang Wu

193 papers receiving 3.4k citations

Hit Papers

The effects of microglia-... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Shuang Wu 948 765 539 496 372 214 3.4k
Han Jiang 800 0.8× 744 1.0× 369 0.7× 407 0.8× 416 1.1× 165 3.0k
Jun Zhang 542 0.6× 687 0.9× 672 1.2× 393 0.8× 745 2.0× 202 3.7k
Hyeran Lee 1.1k 1.2× 581 0.8× 556 1.0× 353 0.7× 198 0.5× 166 3.6k
Dong‐Eog Kim 1.2k 1.3× 848 1.1× 245 0.5× 870 1.8× 431 1.2× 116 4.5k
Qi Yan 1.8k 1.9× 547 0.7× 215 0.4× 464 0.9× 440 1.2× 291 4.6k
James F. Leary 1.4k 1.4× 1.3k 1.7× 537 1.0× 344 0.7× 272 0.7× 159 4.1k
Tatsuya Ito 740 0.8× 544 0.7× 290 0.5× 495 1.0× 616 1.7× 207 4.0k
Yu‐Chun Lin 1.2k 1.3× 785 1.0× 337 0.6× 158 0.3× 177 0.5× 188 4.1k
Jihong Sun 1.3k 1.4× 1.3k 1.7× 671 1.2× 428 0.9× 395 1.1× 127 3.6k
David G. Hirst 938 1.0× 576 0.8× 350 0.6× 1.1k 2.3× 546 1.5× 91 3.1k

Countries citing papers authored by Shuang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuang Wu

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