S. Yan

30 total papers · 1.8k total citations
22 papers, 1.4k citations indexed

About

S. Yan is a scholar working on Pollution, Molecular Biology and Biomaterials. According to data from OpenAlex, S. Yan has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pollution, 8 papers in Molecular Biology and 4 papers in Biomaterials. Recurrent topics in S. Yan's work include Wastewater Treatment and Nitrogen Removal (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and biodegradable polymer synthesis and properties (4 papers). S. Yan is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and biodegradable polymer synthesis and properties (4 papers). S. Yan collaborates with scholars based in Canada, United States and China. S. Yan's co-authors include R. D. Tyagi, Tanaji T. More, Xianhui Li, Jayprakash Yadav, Rao Y. Surampalli, S. Bala Subramanian, R.D. Tyagi, Jyothi Bezawada, Jay S. Yadav and Neetu Tyagi and has published in prestigious journals such as Water Research, Bioresource Technology and Molecules.

In The Last Decade

S. Yan

22 papers receiving 1.4k citations

Hit Papers

Extracellular polymeric s... 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
S. Yan 639 558 276 245 203 22 1.4k
Tanaji T. More 607 0.9× 551 1.0× 281 1.0× 271 1.1× 141 0.7× 14 1.6k
Sophie Comte 679 1.1× 592 1.1× 188 0.7× 233 1.0× 113 0.6× 10 1.3k
Ronald R. Navarro 331 0.5× 517 0.9× 195 0.7× 343 1.4× 157 0.8× 50 1.4k
Shiyu Fang 599 0.9× 334 0.6× 194 0.7× 219 0.9× 186 0.9× 39 1.2k
Kuppusamy Sathishkumar 578 0.9× 389 0.7× 276 1.0× 254 1.0× 115 0.6× 64 1.6k
Nai-Xian Feng 606 0.9× 298 0.5× 197 0.7× 218 0.9× 147 0.7× 45 1.5k
Chaowei Zhu 596 0.9× 734 1.3× 310 1.1× 474 1.9× 94 0.5× 33 1.6k
Payal Mazumder 638 1.0× 418 0.7× 230 0.8× 357 1.5× 128 0.6× 34 1.7k
Lei Xu 560 0.9× 478 0.9× 169 0.6× 200 0.8× 96 0.5× 64 1.4k
Milind Mohan Naik 802 1.3× 202 0.4× 224 0.8× 198 0.8× 196 1.0× 30 1.5k

Countries citing papers authored by S. Yan

Since Specialization
Citations

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

Fields of papers citing papers by S. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Yan

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