Chengwu Tang

52 total papers · 1.1k total citations
33 papers, 808 citations indexed

About

Chengwu Tang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chengwu Tang has authored 33 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Chengwu Tang's work include Cancer-related molecular mechanisms research (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Chengwu Tang is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Chengwu Tang collaborates with scholars based in China, Saudi Arabia and United States. Chengwu Tang's co-authors include Wenming Feng, Yinyuan Zheng, Yongsong Luo, Shengjun Sun, Abdulmohsen Ali Alshehri, Yan Wang, Ying Bao, Longcheng Zhang, Jing Zhang and Dongdong Zheng and has published in prestigious journals such as The Science of The Total Environment, Journal of Materials Chemistry A and Small.

In The Last Decade

Chengwu Tang

31 papers receiving 798 citations

Hit Papers

High-efficiency overall a... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Chengwu Tang 324 228 208 154 138 33 808
Jinwu Hu 374 1.2× 130 0.6× 220 1.1× 45 0.3× 38 0.3× 39 715
Jingjing Huang 203 0.6× 208 0.9× 21 0.1× 142 0.9× 267 1.9× 41 705
Xiaodan Chong 700 2.2× 98 0.4× 377 1.8× 34 0.2× 224 1.6× 20 1.1k
Yize Zhang 525 1.6× 121 0.5× 140 0.7× 71 0.5× 27 0.2× 38 940
Zhenghao Zhang 181 0.6× 284 1.2× 43 0.2× 37 0.2× 155 1.1× 52 907
Yujia Xia 207 0.6× 211 0.9× 60 0.3× 78 0.5× 96 0.7× 27 949
Yunhee Cho 439 1.4× 197 0.9× 340 1.6× 54 0.4× 83 0.6× 37 956
Yingshu Wang 245 0.8× 107 0.5× 153 0.7× 58 0.4× 24 0.2× 29 734
Ying Chen 174 0.5× 250 1.1× 62 0.3× 52 0.3× 99 0.7× 39 725
Fengyi Wang 195 0.6× 188 0.8× 116 0.6× 48 0.3× 143 1.0× 49 851

Countries citing papers authored by Chengwu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chengwu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwu Tang

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