Jun‐Xu Li

5.7k citations
167 papers · 4.6k · 1 hit paper · h-index 36

Impact in

Papers in

Jun‐Xu Li

164 papers receiving 4.5k citations

Jun‐Xu Li's Hit Papers

A review on the pharmacological effects of vitexin and isovitexin 2016 · 384 citations
3840+3+6Years since publication100200300

Peers

Jun‐Xu Li
Comparison fields: 5 of 140
  • Biological Psychiatry 263
  • Cellular and Molecular Neuroscience 1.7k
  • Behavioral Neuroscience 173
  • Pharmacology 607
  • Toxicology 122
Replace Carlos Fernando Mello with:
Carlos Fernando Mello Brazil
Grażyna Biała Poland
Jae Hoon Cheong South Korea
Luca Ferraro Italy
Heinz Bönisch Germany
Youssef Sari United States
Su‐Jane Wang Taiwan
Nadja Schröder Brazil
Luis Felipe Callado Spain
Silvio Caccia Italy
Jun‐Xu Li relative to Carlos Fernando Mello Brazil Carlos Fernando Mello's profile →
Citations per field
00.5×2×2.7×
Carlos Fernando Mello · 1×
Citations per year

Countries citing papers authored by Jun‐Xu Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Xu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review on the pharmacological effects of vitexin and isovitexin
Hit paper breakdown →
2016384
2 2019236
3 2018154
4 2014142
5 201988
6 201682
7 201472
8 201869
9 201168
10 201465
11 201565
12 201361
13 201961
14 201860
15 201759
16 201456
17 201755
18 202353
19 201852
20 200852

About Jun‐Xu Li

Jun‐Xu Li is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 167 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (73 papers), Pain Mechanisms and Treatments (40 papers), Receptor Mechanisms and Signaling (30 papers), Neuroscience and Neuropharmacology Research (23 papers), Neuropeptides and Animal Physiology (14 papers), Pharmacological Receptor Mechanisms and Effects (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Biological Psychiatry (263 citations), Cellular and Molecular Neuroscience (1.7k citations), Behavioral Neuroscience (173 citations), Pharmacology (607 citations) and Toxicology (122 citations). Jun‐Xu Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yanan Zhang, Jianfeng Liu, Charles Patrick France, David A. Thorn, Biwen Peng, Jia‐Wei Min, Weilin Kong, Xiaohua He, Ruyan Wu and Miao He. Their work appears in journals such as European Journal of Pharmacology, Psychopharmacology, Behavioural Pharmacology, Journal of Proteome Research and Journal of Pharmacology and Experimental Therapeutics.

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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