Beining Chen

62 papers receiving 2.5k citations

Peers

Beining Chen
Comparison fields: 5 of 129
  • Analytical Chemistry 460
  • Computational Theory and Mathematics 465
  • Organic Chemistry 717
  • Spectroscopy 377
  • Toxicology 67
Replace Chartchalerm Isarankura‐Na‐Ayudhya with:
Chartchalerm Isarankura‐Na‐Ayudhya Thailand
Giulia Caron Italy
Vsevolod Yu. Tanchuk Ukraine
Sérgio Clementi Italy
Kathia Maria Honorio Brazil
David T. Stanton United States
Patrick Gaillard Switzerland
Derek P. Reynolds United Kingdom
Giuseppe Felice Mangiatordi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Beining Chen

Since Specialization
Citations

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

Fields of papers citing papers by Beining Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beining Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beining Chen Line = papers co-authored together Beining Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002264
2 2001161
3 2000147
4 2014143
5 1999135
6 2005115
7 2007105
8 200773
9 200668
10 200968
11 199768
12 200168
13 200968
14 201064
15 201861
16 200960
17 201659
18 202154
19 200948
20 201044

About Beining Chen

Beining Chen is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Neurology and Analytical Chemistry, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Prion Diseases and Protein Misfolding (12 papers), Chemical Synthesis and Analysis (10 papers), Multicomponent Synthesis of Heterocycles (7 papers), Machine Learning in Materials Science (7 papers), Alzheimer's disease research and treatments (5 papers), Synthesis and biological activity (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Analytical Chemistry (460 citations), Computational Theory and Mathematics (465 citations), Organic Chemistry (717 citations), Spectroscopy (377 citations) and Toxicology (67 citations). Beining Chen has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Mark Jason Thompson, Sergey A. Piletsky, Anthony P.F. Turner, Peter Willett, Kai Guo, Khalku Karim, Valerie J. Gillet, Roger Mutter, William P. Heal and Elena V. Piletska. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, The Journal of Organic Chemistry, Green Synthesis and Catalysis and ChemMedChem.

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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