Shengqing Wan

15 total papers · 3.3k total citations
5 papers, 828 citations indexed

About

Shengqing Wan is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Shengqing Wan has authored 5 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Shengqing Wan's work include Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and Renal cell carcinoma treatment (1 paper). Shengqing Wan is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and Renal cell carcinoma treatment (1 paper). Shengqing Wan collaborates with scholars based in China, United States and Denmark. Shengqing Wan's co-authors include Lin Li, Guang Ning, Xuanlin Huang, Weiqing Wang, Zhimin Feng, Xiaohui Sun, Yanan Cao, Peide Huang, Fang Wen and Wenlong Jia and has published in prestigious journals such as Nature Communications, Genome biology and Cancer Letters.

In The Last Decade

Shengqing Wan

5 papers receiving 813 citations

Hit Papers

Comparative genetic analy... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shengqing Wan 452 237 178 105 67 5 828
Peide Huang 453 1.0× 249 1.1× 175 1.0× 112 1.1× 155 2.3× 15 881
Xuanlin Huang 454 1.0× 164 0.7× 227 1.3× 59 0.6× 168 2.5× 9 852
Ruochen Zang 553 1.2× 290 1.2× 118 0.7× 115 1.1× 81 1.2× 13 918
Zhaolong Cao 515 1.1× 151 0.6× 226 1.3× 21 0.2× 55 0.8× 8 850
Kangtai Liu 636 1.4× 262 1.1× 144 0.8× 27 0.3× 60 0.9× 8 1.1k
Nicola E. Clarke 437 1.0× 206 0.9× 141 0.8× 44 0.4× 51 0.8× 8 879
Zhimeng Fan 425 0.9× 127 0.5× 155 0.9× 38 0.4× 72 1.1× 12 830
Alan H. M. Wong 382 0.8× 131 0.6× 289 1.6× 16 0.2× 106 1.6× 9 820
Naomi Sonnek 551 1.2× 269 1.1× 120 0.7× 20 0.2× 186 2.8× 6 1.0k
Qianchuan Huang 634 1.4× 120 0.5× 346 1.9× 26 0.2× 67 1.0× 14 817

Countries citing papers authored by Shengqing Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shengqing Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqing Wan

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