Yuning Shen

876 citations
16 papers · 721 · h-index 15

Impact in

  • Biochemistry top 10%
    • Sulfur Compounds in Biology
    • Catalytic C–H Functionalization Methods
    • Catalytic Cross-Coupling Reactions

Papers in

Yuning Shen

16 papers receiving 692 citations

Peers

Yuning Shen
Comparison fields: 5 of 64
  • Biochemistry 54
  • Organic Chemistry 274
  • Computational Theory and Mathematics 122
  • Spectroscopy 82
  • Materials Chemistry 142
Replace Jonathan E. Schneeweis with:
Jonathan E. Schneeweis United States
Ruyi Jin China
Steven J. Taylor United States
Franck Charmantray France
Ye Zhong China
Essam M. Hussein Egypt
Vladimir P. Timofeev Russia
John C. Lukesh United States
John Markopoulos Greece
Emily A. Hoyt Portugal
Yuning Shen relative to Jonathan E. Schneeweis United States Jonathan E. Schneeweis's profile →
Citations per field
00.5×2×3.2×
Jonathan E. Schneeweis · 1×
Citations per year

Countries citing papers authored by Yuning Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuning Shen, 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 Yuning Shen Line = papers co-authored together Yuning Shen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2021149
2 202095
3 202190
4 202360
5 201653
6 201347
7 201543
8 201624
9 201724
10 201623
11 201622
12 201722
13 202121
14 201519
15 202216
16 201513

About Yuning Shen

Yuning Shen is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Biochemistry, Physical and Theoretical Chemistry and Spectroscopy, having authored 16 papers that have together received 721 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers), Catalytic C–H Functionalization Methods (3 papers), Sulfur Compounds in Biology (2 papers), History and advancements in chemistry (2 papers), Synthesis and biological activity (2 papers), Chemical Synthesis and Analysis (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Biochemistry (54 citations), Organic Chemistry (274 citations), Computational Theory and Mathematics (122 citations), Spectroscopy (82 citations) and Materials Chemistry (142 citations). Yuning Shen has collaborated with scholars based in United States, China and India. Frequent co-authors include Tim Cernak, Babak A. Mahjour, Wan‐Chen Cindy Lee, Jie Jack Li, Julia E. Borowski, Richmond Sarpong, Abigail G. Doyle, Melissa A. Hardy, Wenbo Liu and Yong Qian. Their work appears in journals such as Nature Communications, RSC Advances, The Journal of Organic Chemistry, Nature Reviews Methods Primers and Talanta.

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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