Zhang Yan-ling

25 total papers · 481 total citations
7 papers, 369 citations indexed

About

Zhang Yan-ling is a scholar working on Organic Chemistry, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Zhang Yan-ling has authored 7 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Organic Chemistry, 2 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Zhang Yan-ling's work include Innovative Teaching and Learning Methods (2 papers), Online and Blended Learning (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Zhang Yan-ling is often cited by papers focused on Innovative Teaching and Learning Methods (2 papers), Online and Blended Learning (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Zhang Yan-ling collaborates with scholars based in China, United States and France. Zhang Yan-ling's co-authors include Chu Wang, Wei Qin, Yanling Wang, Xing Chen, Wentong Jia, Bo Cheng, Linghang Peng, Nan Chen, Yuan Liu and Ke Qin and has published in prestigious journals such as Nature Chemical Biology, Chemical Science and Journal of Natural Products.

In The Last Decade

Zhang Yan-ling

7 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Zhang Yan-ling 185 121 67 58 31 7 369
Richard M. Torczynski 216 1.2× 62 0.5× 52 0.8× 32 0.6× 76 2.5× 11 442
Mark R. Spyvee 113 0.6× 109 0.9× 121 1.8× 27 0.5× 87 2.8× 15 411
Maurice S. Brozzo 342 1.8× 83 0.7× 56 0.8× 17 0.3× 11 0.4× 7 429
Toshihiro Kunigami 192 1.0× 126 1.0× 60 0.9× 45 0.8× 73 2.4× 6 408
Michael K. Tong 219 1.2× 28 0.2× 237 3.5× 56 1.0× 60 1.9× 5 349
Alexander S. McColl 256 1.4× 24 0.2× 92 1.4× 21 0.4× 42 1.4× 8 376
Roberto Forestieri 169 0.9× 37 0.3× 66 1.0× 51 0.9× 45 1.5× 8 369
Ana S. Ramίrez 308 1.7× 56 0.5× 86 1.3× 23 0.4× 6 0.2× 15 398
Susan Peng 196 1.1× 36 0.3× 29 0.4× 31 0.5× 16 0.5× 8 373
Catherine Ledoux 252 1.4× 64 0.5× 30 0.4× 24 0.4× 10 0.3× 12 391

Countries citing papers authored by Zhang Yan-ling

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Yan-ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhang Yan-ling. 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 Zhang Yan-ling. The network helps show where Zhang Yan-ling may publish in the future.

Co-authorship network of co-authors of Zhang Yan-ling

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Yan-ling. A scholar is included among the top collaborators of Zhang Yan-ling 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 Zhang Yan-ling. Zhang Yan-ling 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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2026