Longling Li

585 citations
13 papers · 512 · h-index 10

Impact in

  • Neurology top 5%
    • Vagus Nerve Stimulation Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Nicotinic Acetylcholine Receptors Study 4
    • Vagus Nerve Stimulation Research 5
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Longling Li

13 papers receiving 501 citations

Peers

Longling Li
Comparison fields: 5 of 57
  • Neurology 281
  • Cancer Research 78
  • Developmental Neuroscience 21
  • Biological Psychiatry 10
  • Cellular and Molecular Neuroscience 67
Replace Cordula Rakers with:
Cordula Rakers Germany
Yafan Zhou China
Eric W. Kostuk United States
Else Marie Valbjørn Hagelin Norway
Maria Stefania Brignone Italy
Greta I. Berg United States
Carlos Nogueras‐Ortiz United States
Christoph W. Blau Ireland
Zeyun Guo China
Lin‐Hui Wang China
Longling Li relative to Cordula Rakers Germany Cordula Rakers's profile →
Citations per field
00.5×10×20×30×36×
Cordula Rakers · 1×
Citations per year

Countries citing papers authored by Longling Li

Since Specialization
Citations

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

Fields of papers citing papers by Longling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014113
2 2015112
3 201661
4 201845
5 201545
6 202034
7 201227
8 201426
9 202117
10 202113
11 20169
12 20186
13 20234

About Longling Li

Longling Li is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Neurology and Cancer Research, having authored 13 papers that have together received 512 indexed citations. Recurring topics across this work include Vagus Nerve Stimulation Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Nerve injury and regeneration (2 papers), MicroRNA in disease regulation (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Neurology (281 citations), Cancer Research (78 citations), Developmental Neuroscience (21 citations), Biological Psychiatry (10 citations) and Cellular and Molecular Neuroscience (67 citations). Longling Li has collaborated with scholars based in China and Germany. Frequent co-authors include Ying Jiang, Changqing Li, Yanhong Zhang, Xiaodan Tan, Bin Liu, Bin Liu, Qian Chen, Tao Feng, Guoqian He and Lina Zhang. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Cellular Neuroscience, Molecular Neurobiology, International Journal of Biological Sciences and Journal of Neurochemistry.

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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