Yuning Shen
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
Papers in ⓘ
-
- Catalytic C–H Functionalization Methods 3
- Sulfur-Based Synthesis Techniques 2
-
- Chemical Synthesis and Analysis 3
- Co-authors
- Tim Cernak (6 shared papers)Babak Mahjour (5 shared papers)David A. Gutierrez (3 shared papers)Jie Jack Li (3 shared papers)Wan‐Chen Cindy Lee (3 shared papers)Julia E. Borowski (1 shared paper)Abigail G. Doyle (1 shared paper)Melissa A. Hardy (1 shared paper)
- Journals
- RSC Advances (2 papers)Nature Communications (2 papers)Clinical Kidney Journal (1 paper)Clinical Microbiology and Infection (1 paper)Organic Letters (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Yuning Shen
19 papers receiving 721 citations
Peers
Comparison fields: 5 of 101
- Biochemistry 79
- Organic Chemistry 244
- Spectroscopy 110
- Computational Theory and Mathematics 98
- Infectious Diseases 91
Countries citing papers authored by Yuning Shen
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2020 | 108 | |
| 3 | 2020 | 82 | |
| 4 | 2021 | 68 | |
| 5 | 2016 | 50 | |
| 6 | 2013 | 45 | |
| 7 | 2023 | 43 | |
| 8 | 2015 | 40 | |
| 9 | 2017 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2015 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2025 | 0 |
About Yuning Shen
Yuning Shen is a scholar working on Organic Chemistry, Molecular Biology, Biomedical Engineering, Materials Chemistry and Computational Theory and Mathematics, having authored 20 papers that have together received 730 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Computational Drug Discovery Methods (3 papers), Molecular Sensors and Ion Detection (3 papers), Machine Learning in Materials Science (3 papers), Sulfur Compounds in Biology (3 papers), Chemical Synthesis and Analysis (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Sulfur-Based Synthesis Techniques (2 papers). The work is most often cited by research in Biochemistry (79 citations), Organic Chemistry (244 citations), Spectroscopy (110 citations), Computational Theory and Mathematics (98 citations) and Infectious Diseases (91 citations). Yuning Shen has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Tim Cernak, Babak Mahjour, David A. Gutierrez, Jie Jack Li, Wan‐Chen Cindy Lee, Julia E. Borowski, Abigail G. Doyle, Melissa A. Hardy, Richmond Sarpong and Wenbo Liu. Their work appears in journals such as RSC Advances, Nature Communications, Clinical Kidney Journal, Clinical Microbiology and Infection and Organic Letters.
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.