Linli Li

3.0k citations
111 papers · 2.0k · h-index 26

Impact in

Papers in

    • Cancer therapeutics and mechanisms 7
    • Receptor Mechanisms and Signaling 6
    • Chemical Synthesis and Analysis 5
    • Epigenetics and DNA Methylation 5
    • Protein Kinase Regulation and GTPase Signaling 5
    • Computational Drug Discovery Methods 26

Linli Li

108 papers receiving 2.0k citations

Peers

Linli Li
Comparison fields: 5 of 128
  • Computational Theory and Mathematics 550
  • Molecular Biology 1.2k
  • Geriatrics and Gerontology 69
  • Toxicology 57
  • Organic Chemistry 444
Replace Chenzhong Liao with:
Chenzhong Liao China
Jingkang Shen China
Rozbeh Jafari Sweden
Paul V. Fish United Kingdom
Xuben Hou China
Parvez Κhan India
Rajesh Devraj United States
Adam Yasgar United States
Guo‐Bo Li China
Alberto Del Río Italy
Linli Li relative to Chenzhong Liao China Chenzhong Liao's profile →
Citations per field
00.5×1.5×1.9×
Chenzhong Liao · 1×
Citations per year

Countries citing papers authored by Linli Li

Since Specialization
Citations

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

Fields of papers citing papers by Linli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013141
2 200899
3 201364
4 201159
5 202058
6 202255
7 201253
8 201151
9 202250
10 201048
11 200847
12 202243
13 202241
14 201540
15 202437
16 200936
17 201736
18 201836
19 201736
20 200934

About Linli Li

Linli Li is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Spectroscopy, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Analytical Chemistry and Chromatography (9 papers), Synthesis and biological activity (9 papers), Cancer therapeutics and mechanisms (7 papers), Receptor Mechanisms and Signaling (6 papers), Chemical Synthesis and Analysis (5 papers), Epigenetics and DNA Methylation (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Computational Theory and Mathematics (550 citations), Molecular Biology (1.2k citations), Geriatrics and Gerontology (69 citations), Toxicology (57 citations) and Organic Chemistry (444 citations). Linli Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengyong Yang, Yuquan Wei, Guo‐Bo Li, Huanzhang Xie, Qi Huang, Lingling Yang, Wenjing Wang, Ji-Xia Ren, Jun Zou and Qingqing Xie. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Journal of Molecular Graphics and Modelling.

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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