Yu‐Long Lan

1.4k citations
48 papers · 1.1k · h-index 23

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation

Papers in

    • Ion Transport and Channel Regulation 11
    • ATP Synthase and ATPases Research 4
    • Natural product bioactivities and synthesis 3
    • MicroRNA in disease regulation 4

Yu‐Long Lan

47 papers receiving 1.1k citations

Peers

Yu‐Long Lan
Comparison fields: 5 of 100
  • Neurology 101
  • Cancer Research 182
  • Biological Psychiatry 27
  • Complementary and alternative medicine 86
  • Toxicology 26
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Citations per field
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Citations per year

Countries citing papers authored by Yu‐Long Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Long Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Long Lan. 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 Yu‐Long Lan. The network helps show where Yu‐Long Lan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018134
2 201466
3 201761
4 201756
5 201545
6 201844
7
The potential roles of dopamine in traumatic brain injury: a preclinical and clinical update.
201944
8 201931
9 202030
10 201829
11 201729
12
Alantolactone plays neuroprotective roles in traumatic brain injury in rats via anti-inflammatory, anti-oxidative and anti-apoptosis pathways.
201829
13 201428
14 201828
15 201928
16 201926
17 202226
18
Solasonine inhibits glioma growth through anti-inflammatory pathways.
201726
19 201925
20 201625

About Yu‐Long Lan

Yu‐Long Lan is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (11 papers), Estrogen and related hormone effects (6 papers), Glioma Diagnosis and Treatment (6 papers), ATP Synthase and ATPases Research (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), MicroRNA in disease regulation (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Neurology (101 citations), Cancer Research (182 citations), Biological Psychiatry (27 citations), Complementary and alternative medicine (86 citations) and Toxicology (26 citations). Yu‐Long Lan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiacheng Lou, Shao Li, Jie Zhao, Xiaochi Ma, Jinshan Xing, Bo Zhang, Shuang Zou, Bo Zhang, Xun Wang and Zhenlong Yu. Their work appears in journals such as Oncotarget, Neurological Sciences, Biomedicine & Pharmacotherapy, Therapeutic Advances in Endocrinology and Metabolism and Cancer Medicine.

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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