Sha Li

424 citations
20 papers · 302 · h-index 9

Impact in

Papers in

    • Natural product bioactivities and synthesis 2
    • Biopolymer Synthesis and Applications 2
    • Identification and Quantification in Food 2
    • Polyamine Metabolism and Applications 2
    • COVID-19 Clinical Research Studies 2

Sha Li

18 papers receiving 292 citations

Peers

Sha Li
Comparison fields: 5 of 82
  • Infectious Diseases 93
  • Biochemistry 35
  • Neurology 27
  • Biotechnology 17
  • Spectroscopy 25
Replace Mohd Imran Khan with:
Mohd Imran Khan India
Neha Shah United States
Mitsue Miyazaki Japan
Toru Mochizuki Japan
Tomoko Uemura Japan
Pravien Abeywickrema United States
Kwangman Choi South Korea
Lanĕ United States
Isaac Asante United States
Elyse C. Freiberger United States
Sha Li relative to Mohd Imran Khan India Mohd Imran Khan's profile →
Citations per field
00.5×3.4×
Mohd Imran Khan · 1×
Citations per year

Countries citing papers authored by Sha Li

Since Specialization
Citations

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

Fields of papers citing papers by Sha Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020106
2 202142
3 202136
4 201124
5 202020
6 201216
7 201912
8 201511
9 201711
10 20188
11 20136
12 20053
13 20162
14 20241
15 20161
16 20251
17 20251
18
Isolation, purification and properties of the chitinase from Bacillus thuringiensis
20041
19 20240
20 20250

About Sha Li

Sha Li is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Aquatic Science and Neurology, having authored 20 papers that have together received 302 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Natural product bioactivities and synthesis (2 papers), Fish Biology and Ecology Studies (2 papers), Biopolymer Synthesis and Applications (2 papers), Identification and Quantification in Food (2 papers), COVID-19 Clinical Research Studies (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Infectious Diseases (93 citations), Biochemistry (35 citations), Neurology (27 citations), Biotechnology (17 citations) and Spectroscopy (25 citations). Sha Li has collaborated with scholars based in China, Latvia and France. Frequent co-authors include Minxue Shen, Fengyu Lin, Ben Liu, Lingli Chen, Minhui Dai, Yifei Fan, Pinhua Pan, Yan Zhang, Jianchu Zhang and Duoduo Han. Their work appears in journals such as Food Research International, Archives of Dermatological Research, The Journal of Maternal-Fetal & Neonatal Medicine, Phytochemistry Letters and Diabetes Research and Clinical Practice.

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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