Ning Shan
- Physical and Theoretical Chemistry top 0.1%
- Crystallography and molecular interactions 18
- Inorganic Chemistry top 2%
- Crystal structures of chemical compounds 17
- Pharmaceutical Science top 1%
- Materials Chemistry top 2%
- Crystallization and Solubility Studies 10
- Porphyrin and Phthalocyanine Chemistry 5
- Organic Chemistry top 5%
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- Rough Sets and Fuzzy Logic 11
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- Data Mining Algorithms and Applications 9
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- Analytical Chemistry and Chromatography 6
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- Advanced Fiber Optic Sensors 4
Ning Shan
54 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Physical and Theoretical Chemistry 1.9k
- Inorganic Chemistry 680
- Pharmaceutical Science 240
- Materials Chemistry 1.7k
- Organic Chemistry 642
Countries citing papers authored by Ning Shan
This map shows the geographic impact of Ning Shan'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 Ning Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Shan more than expected).
Fields of papers citing papers by Ning Shan
This network shows the impact of papers produced by Ning Shan. 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 Ning Shan. The network helps show where Ning Shan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Shan, 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 | 2023 | 9 | |
| 2 | Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translationbreakdown → | 2022 | 248 |
| 3 | 2021 | 0 | |
| 4 | 2018 | 6 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 119 | |
| 8 | 2010 | 224 | |
| 9 | The role of cocrystals in pharmaceutical sciencebreakdown → | 2008 | 643 |
| 10 | 2006 | 2 | |
| 11 | 2006 | 2 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 170 | |
| 14 | 2003 | 54 | |
| 15 | 2003 | 83 | |
| 16 | 2002 | 410 | |
| 17 | 2002 | 3 | |
| 18 | 2001 | 1 | |
| 19 | Discovering classification knowledge in databases using rough sets | 1996 | 2 |
| 20 | Using rough sets as tools for knowledge discovery | 1995 | 36 |
About Ning Shan
Ning Shan is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry, Computational Theory and Mathematics, Spectroscopy and Filtration and Separation, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Crystallography and molecular interactions (18 papers), Crystal structures of chemical compounds (17 papers), Rough Sets and Fuzzy Logic (11 papers), Crystallization and Solubility Studies (10 papers), Data Mining Algorithms and Applications (9 papers), Analytical Chemistry and Chromatography (6 papers), Porphyrin and Phthalocyanine Chemistry (5 papers) and Advanced Fiber Optic Sensors (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (1.9k citations), Inorganic Chemistry (680 citations), Pharmaceutical Science (240 citations), Materials Chemistry (1.7k citations) and Organic Chemistry (642 citations). Ning Shan has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Michael J. Zaworotko, William Jones, Fumio Toda, D.R. Weyna, M.L. Cheney, Mazen Hanna, Wojciech Ziarko, Łukasz Wojtas, Richard J. Mead and Pamela J. Shaw. Their work appears in journals such as Crystal Growth & Design, Tetrahedron Letters, Chemical Communications, New Journal of Chemistry and Green Chemistry.
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.