Ning Shan

5.0k total citations · 2 hit papers
57 papers, 3.1k citations indexed

About

Ning Shan is a scholar working on Materials Chemistry, Inorganic Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Ning Shan has authored 57 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 19 papers in Inorganic Chemistry and 18 papers in Physical and Theoretical Chemistry. Recurrent topics in Ning Shan's work include Crystallography and molecular interactions (18 papers), Crystal structures of chemical compounds (17 papers) and Rough Sets and Fuzzy Logic (11 papers). Ning Shan is often cited by papers focused on Crystallography and molecular interactions (18 papers), Crystal structures of chemical compounds (17 papers) and Rough Sets and Fuzzy Logic (11 papers). Ning Shan collaborates with scholars based in China, United Kingdom and Canada. Ning Shan's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Ning Shan

54 papers receiving 3.0k citations

Hit Papers

The role of cocrystals in pharmaceutical science 2008 2026 2014 2020 2008 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ning Shan China 22 1.9k 1.7k 680 642 366 57 3.1k
Weizhou Wang China 36 1.9k 1.0× 1.7k 1.0× 1.3k 1.8× 1.3k 2.0× 310 0.8× 234 5.2k
Giuseppe Pappalardo Italy 35 361 0.2× 542 0.3× 328 0.5× 787 1.2× 1.9k 5.1× 318 4.8k
David G. Churchill South Korea 44 231 0.1× 2.5k 1.4× 1.0k 1.5× 1.8k 2.8× 839 2.3× 194 6.9k
Xin Su China 22 432 0.2× 1.2k 0.7× 242 0.4× 946 1.5× 295 0.8× 70 2.2k
Junming Ho Australia 35 449 0.2× 894 0.5× 390 0.6× 2.0k 3.1× 807 2.2× 107 4.5k
Rajeev Prabhakar United States 32 199 0.1× 753 0.4× 336 0.5× 547 0.9× 1.0k 2.8× 111 2.9k
N. S. Zefirov Russia 35 501 0.3× 806 0.5× 721 1.1× 3.5k 5.5× 1.0k 2.7× 458 5.5k
R.I. Zubatyuk Ukraine 23 545 0.3× 1.5k 0.9× 273 0.4× 786 1.2× 682 1.9× 142 2.6k
Marc Garland Singapore 31 104 0.1× 714 0.4× 892 1.3× 1.1k 1.7× 354 1.0× 145 3.5k

Countries citing papers authored by Ning Shan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ning Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Shan. A scholar is included among the top collaborators of Ning Shan 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 Ning Shan. Ning Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mead, Richard J., et al.. (2022). Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation. Nature Reviews Drug Discovery. 22(3). 185–212. 248 indexed citations breakdown →
3.
Shan, Ning. (2021). Research on color management of printing images on Bazhong specialty paper packaging. Journal of Optics. 50(4). 637–643.
4.
Shan, Ning, et al.. (2018). Photobomb Defusal Expert: Automatically Remove Distracting People From Photos. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(5). 717–727. 6 indexed citations
5.
Shan, Ning. (2016). Applications research in ultrasonic testing of carbon fiber composite based on an optical fiber F-p sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9685. 968511–968511. 1 indexed citations
6.
Guan, Shanshan, Li Zhao, Hanyong Jin, et al.. (2016). Binding modes of phosphotriesterase-like lactonase complexed with δ-nonanoic lactone and paraoxon using molecular dynamics simulations. Journal of Biomolecular Structure and Dynamics. 35(2). 273–286. 10 indexed citations
7.
Shan, Ning, Miranda L. Perry, D.R. Weyna, & Michael J. Zaworotko. (2014). Impact of pharmaceutical cocrystals: the effects on drug pharmacokinetics. Expert Opinion on Drug Metabolism & Toxicology. 10(9). 1255–1271. 119 indexed citations
8.
Cheney, M.L., D.R. Weyna, Ning Shan, et al.. (2010). Coformer Selection in Pharmaceutical Cocrystal Development: a Case Study of a Meloxicam Aspirin Cocrystal That Exhibits Enhanced Solubility and Pharmacokinetics. Journal of Pharmaceutical Sciences. 100(6). 2172–2181. 224 indexed citations
9.
Shan, Ning & Michael J. Zaworotko. (2008). The role of cocrystals in pharmaceutical science. Drug Discovery Today. 13(9-10). 440–446. 643 indexed citations breakdown →
10.
Wang, Dandan, Hongjun Zhu, Ning Shan, Guangliang Song, & Jin‐Tang Wang. (2006). Poly[[tetra-μ2-aqua-diaqua-μ2-2,5-dibenzoylterephthalatodipotassium(I)] dihydrate]. Acta Crystallographica Section E Structure Reports Online. 62(2). m201–m203. 2 indexed citations
11.
Wang, Dandan, Hongjun Zhu, Ning Shan, Guangliang Song, & Jin‐Tang Wang. (2006). Potassium 2-benzoylbenzoate dihydrate. Acta Crystallographica Section E Structure Reports Online. 62(2). m304–m305. 2 indexed citations
12.
Liu, Shan, et al.. (2006). 1,4-Diacetylbenzene. Acta Crystallographica Section E Structure Reports Online. 62(4). o1582–o1583. 1 indexed citations
13.
Trask, A.V., Ning Shan, W. D. Samuel Motherwell, et al.. (2005). Selective polymorph transformation via solvent-drop grinding. Chemical Communications. 880–880. 170 indexed citations
14.
Shan, Ning, Andrew D. Bond, & William Jones. (2003). Supramolecular architectures of cyclohexane-1, 3cis, 5cis-tricarboxylic acid in acid∶base complexes. New Journal of Chemistry. 27(2). 365–371. 54 indexed citations
15.
Shan, Ning & William Jones. (2003). Identification of supramolecular templates: design of solid-state photoreactivity using structural similarity. Tetrahedron Letters. 44(18). 3687–3689. 83 indexed citations
17.
Shan, Ning, Howard J. Hamilton, & N. Cercone. (2002). GRG: knowledge discovery using information generalization, information reduction, and rule generation. 372–379. 3 indexed citations
18.
Bond, Andrew D., Ning Shan, & William Jones. (2001). 4,7-Phenanthroline. Acta Crystallographica Section E Structure Reports Online. 57(2). o145–o146. 1 indexed citations
19.
Shan, Ning, Wojciech Ziarko, Howard J. Hamilton, & Nick Cercone. (1996). Discovering classification knowledge in databases using rough sets. Knowledge Discovery and Data Mining. 271–274. 2 indexed citations
20.
Shan, Ning, Wojciech Ziarko, Howard J. Hamilton, & Nick Cercone. (1995). Using rough sets as tools for knowledge discovery. Knowledge Discovery and Data Mining. 263–268. 36 indexed citations

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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