Junfa Li

5.2k citations
176 papers · 4.2k · h-index 35

Impact in

Papers in

Junfa Li

168 papers receiving 4.1k citations

Peers

Junfa Li
Comparison fields: 5 of 132
  • Developmental Neuroscience 342
  • Neurology 567
  • Biological Psychiatry 150
  • Cellular and Molecular Neuroscience 988
  • Behavioral Neuroscience 182
Replace Yuji Owada with:
Yuji Owada Japan
Tim Magnus Germany
Roberta Brambilla United States
Riitta Keinänen Finland
Emmanuel Pinteaux United Kingdom
Julie A. Ellison United States
Elin Lehrmann United States
Karsten Ruscher Sweden
Francesca Biagioni Italy
Frank Gillardon Germany
Junfa Li relative to Yuji Owada Japan Yuji Owada's profile →
Citations per field
00.5×1.5×2×2.3×
Yuji Owada · 1×
Citations per year

Countries citing papers authored by Junfa Li

Since Specialization
Citations

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

Fields of papers citing papers by Junfa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000225
2 2008215
3 2004169
4 2000139
5 2006135
6 2014123
7 201393
8 201589
9 200982
10 201677
11 200174
12 201171
13 201771
14 201969
15 201467
16 201065
17 201364
18 201461
19 201360
20 201456

About Junfa Li

Junfa Li is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Molecular Biology and Physiology, having authored 176 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers), Pain Mechanisms and Treatments (16 papers), Mitochondrial Function and Pathology (14 papers), Cardiac Ischemia and Reperfusion (13 papers), Autophagy in Disease and Therapy (9 papers), Neuropeptides and Animal Physiology (8 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Developmental Neuroscience (342 citations), Neurology (567 citations), Biological Psychiatry (150 citations), Cellular and Molecular Neuroscience (988 citations) and Behavioral Neuroscience (182 citations). Junfa Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Song Han, Kuo‐Ping Huang, Freesia L. Huang, Song Han, Xiaoli Qi, Wenjuan Lin, Weiwen Wang, Detlef Balschun, Klaus G. Reymann and Shujuan Li. Their work appears in journals such as Neurochemical Research, Journal of Neurosurgical Anesthesiology, Brain Research, Molecular Pain and Investigative Ophthalmology & Visual Science.

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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