Ning Shan

5.1k citations
58 papers · 3.1k · 2 hit papers · h-index 23

Impact in

Papers in

Ning Shan

54 papers receiving 3.1k citations

Ning Shan's Hit Papers

Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation 2022 · 282 citations
2820+6+12Years since publication200400600

Peers

Ning Shan
Comparison fields: 5 of 141
  • Physical and Theoretical Chemistry 1.9k
  • Inorganic Chemistry 673
  • Pharmaceutical Science 238
  • Materials Chemistry 1.7k
  • Organic Chemistry 633
Replace Giuseppe Pappalardo with:
Giuseppe Pappalardo Italy
Weizhou Wang China
Xiyun Zhang China
Junming Ho Australia
Gabor Patonay United States
Qingxiang Guo China
John A. Murphy United Kingdom
Hui Chen China
Rajeev Prabhakar United States
Ning Shan relative to Giuseppe Pappalardo Italy Giuseppe Pappalardo's profile →
Citations per field
00.5×5.1×
Giuseppe Pappalardo · 1×
Citations per year

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of cocrystals in pharmaceutical science
Hit paper breakdown →
2008651
2 2002411
3
Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation
Hit paper breakdown →
2022282
4 2010225
5 2009219
6 2005170
7 2014120
8 2010116
9 2012111
10 199596
11 199696
12 200383
13 200474
14 200354
15 200245
16 200237
17
Using rough sets as tools for knowledge discovery
199536
18 201135
19 201133
20 200332

About Ning Shan

Ning Shan is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Inorganic Chemistry, Computational Theory and Mathematics and Information Systems, having authored 58 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 (16 papers), Rough Sets and Fuzzy Logic (11 papers), Crystallization and Solubility Studies (9 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 (673 citations), Pharmaceutical Science (238 citations), Materials Chemistry (1.7k citations) and Organic Chemistry (633 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, Mazen Hanna, M.L. Cheney, Wojciech Ziarko, Łukasz Wojtas, Richard J. Mead and Pamela J. Shaw. Their work appears in journals such as Crystal Growth & Design, Tetrahedron Letters, New Journal of Chemistry, Green Chemistry and Chemical Communications.

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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