Junfa Li

4.9k citations
177 papers · 4.0k indexed · h-index 36

Junfa Li

168 papers receiving 3.9k citations

Peers

Junfa Li
Comparison fields: 5 of 138
  • Developmental Neuroscience 390
  • Neurology 641
  • Biological Psychiatry 171
  • Cellular and Molecular Neuroscience 1.0k
  • Behavioral Neuroscience 200
Replace Emmanuel Pinteaux with:
Emmanuel Pinteaux United Kingdom
Cinzia Dello Russo Italy
Jukka Jolkkonen Finland
Hwa Kyoung Shin South Korea
J. Regino Perez‐Polo United States
Karsten Ruscher Sweden
Maria Angela Sortino Italy
Wen‐Jun Xin China
Mithilesh Kumar Jha South Korea
Junfa Li relative to Emmanuel Pinteaux United Kingdom Emmanuel Pinteaux's profile →
Citations per field
00.5×1.5×1.8×
Emmanuel Pinteaux · 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-authorship network

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
#Work
1 20250
2 20251
3 20251
4 20251
5 20240
6 202313
7 20236
8 20238
9 20213
10 202035
11 202011
12 201823
13 20183
14 20161
15 201611
16 201390
17 201149
18
[C742T mutation of α1, 3 N-acetyl-D-galactosaminyltransferase gene is responsible for A2 subgroup].
20111
19 20076
20
Exercise therapy in osteoarthritis of the knee
20031

About Junfa Li

Junfa Li is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 177 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (45 papers), Neuroinflammation and Neurodegeneration Mechanisms (28 papers), Pain Mechanisms and Treatments (18 papers), Mitochondrial Function and Pathology (15 papers), Cardiac Ischemia and Reperfusion (15 papers), Ion channel regulation and function (9 papers), Anesthesia and Neurotoxicity Research (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Developmental Neuroscience (390 citations), Neurology (641 citations) and Biological Psychiatry (171 citations). Junfa Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Song Han, Song Han, Kuo‐Ping Huang, Freesia L. Huang, Weiwen Wang, Xiaoli Qi, Wenjuan Lin, Detlef Balschun, Klaus G. Reymann and Shujuan Li. Their work appears in journals such as Neurochemical Research, Journal of Neurosurgical Anesthesiology, Brain Research, Journal of Biological Chemistry and Experimental Gerontology.

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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