Shang Li

122 total papers · 4.2k total citations
85 papers, 1.9k citations indexed

About

Shang Li is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Shang Li has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Oncology and 11 papers in Organic Chemistry. Recurrent topics in Shang Li's work include Protein Degradation and Inhibitors (7 papers), PARP inhibition in cancer therapy (6 papers) and Catalytic C–H Functionalization Methods (6 papers). Shang Li is often cited by papers focused on Protein Degradation and Inhibitors (7 papers), PARP inhibition in cancer therapy (6 papers) and Catalytic C–H Functionalization Methods (6 papers). Shang Li collaborates with scholars based in China, United States and Macao. Shang Li's co-authors include Lingyi Kong, Xiaobing Wang, Xiujuan Wang, Ji‐Gang Bai, Fucheng Yin, Lailiang Qu, Daining Fang, Xingchen Liu, Dehua Lu and Xiao Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Shang Li

79 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Shang Li 1.0k 364 346 231 172 85 1.9k
Mehdi Rajabi 953 0.9× 261 0.7× 418 1.2× 152 0.7× 233 1.4× 54 1.9k
Lei Liang 709 0.7× 214 0.6× 383 1.1× 177 0.8× 179 1.0× 130 2.4k
Rita Santamaria 809 0.8× 339 0.9× 373 1.1× 142 0.6× 153 0.9× 75 2.3k
Ryota Saito 995 1.0× 309 0.8× 351 1.0× 182 0.8× 132 0.8× 177 2.1k
Ping Xu 1.6k 1.5× 305 0.8× 239 0.7× 241 1.0× 196 1.1× 134 3.0k
Lu Zhou 1.4k 1.3× 253 0.7× 380 1.1× 185 0.8× 374 2.2× 108 2.6k
Durga Prasad Mishra 1.2k 1.2× 411 1.1× 155 0.4× 144 0.6× 285 1.7× 62 2.4k
Wen‐Wei Qiu 1.2k 1.2× 315 0.9× 402 1.2× 88 0.4× 295 1.7× 67 2.0k
Huaping Chen 681 0.7× 224 0.6× 182 0.5× 135 0.6× 167 1.0× 80 1.7k
Riet Hilhorst 1.4k 1.4× 227 0.6× 568 1.6× 296 1.3× 144 0.8× 85 2.5k

Countries citing papers authored by Shang Li

Since Specialization
Citations

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

Fields of papers citing papers by Shang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Li

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