Shengwen Shen

21 total papers · 1.5k total citations
20 papers, 1.3k citations indexed

About

Shengwen Shen is a scholar working on Molecular Biology, Environmental Chemistry and Cancer Research. According to data from OpenAlex, Shengwen Shen has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Environmental Chemistry and 3 papers in Cancer Research. Recurrent topics in Shengwen Shen's work include Arsenic contamination and mitigation (8 papers), Retinoids in leukemia and cellular processes (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Shengwen Shen is often cited by papers focused on Arsenic contamination and mitigation (8 papers), Retinoids in leukemia and cellular processes (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Shengwen Shen collaborates with scholars based in Canada, China and United States. Shengwen Shen's co-authors include X. Chris Le, Xing‐Fang Li, Michael Weinfeld, Walter Cullen, Jian Wu, Kaustav Majumder, Jinhua Li, Haiying Du, Birget Moe and Sun-Jong You and has published in prestigious journals such as Chemical Reviews, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Shengwen Shen

20 papers receiving 1.3k citations

Hit Papers

Arsenic Binding to Proteins 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Shengwen Shen 555 522 409 193 143 20 1.3k
Amjad Shraim 207 0.4× 838 1.6× 613 1.5× 140 0.7× 489 3.4× 37 1.8k
Melánia Feszterová 305 0.5× 651 1.2× 530 1.3× 219 1.1× 211 1.5× 26 1.2k
Ján Líška 366 0.7× 650 1.2× 525 1.3× 218 1.1× 196 1.4× 19 1.3k
Franziska Ebert 393 0.7× 543 1.0× 693 1.7× 343 1.8× 177 1.2× 53 1.4k
Britton C. Goodale 258 0.5× 246 0.5× 701 1.7× 84 0.4× 257 1.8× 21 1.3k
Dean E. Carter 488 0.9× 965 1.8× 800 2.0× 335 1.7× 188 1.3× 41 1.8k
Lianying Zhang 357 0.6× 404 0.8× 436 1.1× 91 0.5× 93 0.7× 58 1.4k
Reingard Raml 206 0.4× 675 1.3× 516 1.3× 147 0.8× 206 1.4× 36 1.2k
Jay S. Petrick 901 1.6× 758 1.5× 537 1.3× 207 1.1× 128 0.9× 25 1.8k
Patrick Billard 602 1.1× 408 0.8× 352 0.9× 48 0.2× 270 1.9× 39 1.4k

Countries citing papers authored by Shengwen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shengwen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwen Shen

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