Li Shen

1.6k citations
67 papers · 1.4k · h-index 20

Impact in

Papers in

Li Shen

64 papers receiving 1.3k citations

Peers

Li Shen
Comparison fields: 5 of 98
  • Renewable Energy, Sustainability and the Environment 339
  • Pharmacology 261
  • Organic Chemistry 340
  • Biotechnology 95
  • Materials Chemistry 439
Replace Danica Galonić Fujimori with:
Danica Galonić Fujimori United States
Yan Zou China
Penny Joshi India
Siu‐Cheong Yan Hong Kong
Uzma I. Zakai United States
Dongsheng Deng China
Holm Frauendorf Germany
Xun Sun China
Fanglu Huang United Kingdom
Suparna Sengupta India
Li Shen relative to Danica Galonić Fujimori United States Danica Galonić Fujimori's profile →
Citations per field
00.5×1.5×
Danica Galonić Fujimori · 1×
Citations per year

Countries citing papers authored by Li Shen

Since Specialization
Citations

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

Fields of papers citing papers by Li Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012157
2 2011134
3 2014116
4 201278
5 201174
6 199961
7 200659
8 202145
9 201945
10 200644
11 201540
12 199838
13 201131
14 201929
15 201028
16 202224
17 200624
18 201821
19 201120
20 201920

About Li Shen

Li Shen is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Biotechnology and Materials Chemistry, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (18 papers), Marine Sponges and Natural Products (12 papers), Fungal Biology and Applications (8 papers), Advanced Photocatalysis Techniques (6 papers), ZnO doping and properties (6 papers), Chemical synthesis and alkaloids (4 papers), Cancer-related Molecular Pathways (4 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (339 citations), Pharmacology (261 citations), Organic Chemistry (340 citations), Biotechnology (95 citations) and Materials Chemistry (439 citations). Li Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yongcai Zhang, Changle Wu, Qingli Huang, Robert I. Glazer, Huaguang Yu, Nicholas M. Dean, Dianqing Sun, Qingli Huang, Jun‐An Ma and Yonghao Ye. Their work appears in journals such as Journal of Natural Products, Materials Letters, Powder Technology, Chemistry - A European Journal and Bioorganic 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.

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