Junfa Li

5.3k citations
180 papers · 4.1k · h-index 36

Impact in

Papers in

Junfa Li

171 papers receiving 4.0k citations

Peers

Junfa Li
Comparison fields: 5 of 135
  • Developmental Neuroscience 345
  • Neurology 563
  • Biological Psychiatry 148
  • Cellular and Molecular Neuroscience 992
  • Behavioral Neuroscience 178
Replace Arabinda Das with:
Arabinda Das United States
Yuji Owada Japan
Roberta Brambilla United States
Riitta Keinänen Finland
Maria Angela Sortino Italy
Carine Ali France
Julie A. Ellison United States
Emmanuel Pinteaux United Kingdom
Karsten Ruscher Sweden
Masakiyo Sasahara Japan
Junfa Li relative to Arabinda Das United States Arabinda Das's profile →
Citations per field
00.5×1.5×2.2×
Arabinda Das · 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 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000224
2 2008211
3 2004165
4 2000140
5 2006134
6 2014123
7 201393
8 201588
9 200978
10 201676
11 200174
12 201170
13 201969
14 201767
15 201466
16 201066
17 201364
18 201358
19 201456
20 201455

About Junfa Li

Junfa Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Pathology and Forensic Medicine, having authored 180 papers that have together received 4.1k 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 (15 papers), Cardiac Ischemia and Reperfusion (13 papers), Autophagy in Disease and Therapy (9 papers), Neuropeptides and Animal Physiology (8 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Developmental Neuroscience (345 citations), Neurology (563 citations), Biological Psychiatry (148 citations), Cellular and Molecular Neuroscience (992 citations) and Behavioral Neuroscience (178 citations). Junfa Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Song Han, Freesia L. Huang, Kuo‐Ping Huang, Song Han, Wenjuan Lin, Weiwen Wang, Xiaoli Qi, Detlef Balschun, Klaus G. Reymann and Shujuan Li. Their work appears in journals such as Neurochemical Research, Journal of Neurosurgical Anesthesiology, Brain Research, Investigative Ophthalmology & Visual Science and Molecular Pain.

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.

Explore authors with similar magnitude of impact