Changyu Shan

30 total papers · 726 total citations
15 papers, 504 citations indexed

About

Changyu Shan is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Changyu Shan has authored 15 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Oncology. Recurrent topics in Changyu Shan's work include Radiopharmaceutical Chemistry and Applications (3 papers), Peptidase Inhibition and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Changyu Shan is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), Peptidase Inhibition and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Changyu Shan collaborates with scholars based in China, United States and Chile. Changyu Shan's co-authors include Qin Ouyang, Ying‐Chun Chen, Chunling Guo, Hongwei Li, Qiong Chen, Qi Cheng, Xiuming Yang, Ning Gao, Guobing� Li and Jinwei Zhu and has published in prestigious journals such as Journal of Medicinal Chemistry, Organic Letters and Molecular Cancer.

In The Last Decade

Changyu Shan

14 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Changyu Shan	331	121	61	45	32	15	504
Alessandro Di Domizio	358 1.1×	125 1.0×	36 0.6×	56 1.2×	28 0.9×	14	478
Bilge Debeleç-Bütüner	282 0.9×	74 0.6×	46 0.8×	62 1.4×	22 0.7×	28	482
Silvia Belluti	360 1.1×	98 0.8×	61 1.0×	73 1.6×	34 1.1×	26	547
Akshay Bhat	320 1.0×	74 0.6×	37 0.6×	49 1.1×	19 0.6×	17	484
Tereza Golias	335 1.0×	216 1.8×	58 1.0×	54 1.2×	23 0.7×	11	453
Tianyang Mu	284 0.9×	104 0.9×	37 0.6×	78 1.7×	24 0.8×	10	512
Pauline M. Carrico	378 1.1×	109 0.9×	31 0.5×	40 0.9×	18 0.6×	11	596
T.M. Leissing	395 1.2×	149 1.2×	39 0.6×	50 1.1×	53 1.7×	12	597
Rishi K. Gara	323 1.0×	84 0.7×	80 1.3×	98 2.2×	57 1.8×	12	594
Rohini Gomathinayagam	286 0.9×	48 0.4×	55 0.9×	41 0.9×	41 1.3×	17	459

Countries citing papers authored by Changyu Shan

Since Specialization

Citations

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

Fields of papers citing papers by Changyu Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyu Shan

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