Jianyu Li

664 citations
38 papers · 522 indexed · h-index 13

Jianyu Li

37 papers receiving 515 citations

Peers

Jianyu Li
Comparison fields: 5 of 96
  • Pharmacology 83
  • Drug Discovery 1
  • Pharmacology 98
  • Computational Theory and Mathematics 66
  • Molecular Biology 270
Replace Himanshu Verma with:
Himanshu Verma India
Veronika Hanušová Czechia
Xuehua Zheng China
Lei Diao United States
Zhibing Zheng China
Naveen Kumar Vishvakarma India
Chih‐Shiang Chang Taiwan
Clement Agoni South Africa
Hui Peng China
Amgad Albohy Egypt
Jianyu Li relative to Himanshu Verma India Himanshu Verma's profile →
Citations per field
00.5×3.3×
Himanshu Verma · 1×
Citations per year

Countries citing papers authored by Jianyu Li

Since Specialization
Citations

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

Fields of papers citing papers by Jianyu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202125
4 20214
5 202119
6 20206
7 202077
8 202011
9 201937
10 201733
11 201648
12 201551
13 201322
14 201318
15 201134
16
Synthesis of scutellarin derivatives and study of their anti-heart ischemia activities in rats
20101
17
[Identification of musk by Fourier transform infrared spectroscopy].
20103
18
[Neuronal activity of ventrolateral thalamus in patients with essential tremor].
20091
19
Study on anti-hypoxia and anti-oxidation effects of Poteutilla anserina L. alcohol extract
20053
20
Effects of cluster behavior on gas-solid mass transfer in circulating fluidized beds
19982

About Jianyu Li

Jianyu Li is a scholar working on Pharmacology, Computational Theory and Mathematics and Cancer Research, having authored 38 papers that have together received 522 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Analytical Chemistry and Chromatography (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Chemical Synthesis and Analysis (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Pharmacology (83 citations), Drug Discovery (1 citation) and Pharmacology (98 citations). Jianyu Li has collaborated with scholars based in China, Germany and Cameroon. Frequent co-authors include Stefan Günther, Aurélien F. A. Moumbock, Mingjie Gao, Shizhang Wei, Xiao Ma, Yun Zhu, Pankaj Mishra, Ruilin Wang, Lifu Wang and Jiabo Wang. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

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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