Lan Han

842 citations
43 papers · 648 · h-index 16

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Extracellular vesicles in disease 3
    • Insect Resistance and Genetics 2
    • Neuroinflammation and Neurodegeneration Mechanisms 8
    • Neurological Disease Mechanisms and Treatments 3

Lan Han

40 papers receiving 641 citations

Peers

Lan Han
Comparison fields: 5 of 97
  • Complementary and alternative medicine 80
  • Biological Psychiatry 22
  • Neurology 72
  • Pharmacology 57
  • Behavioral Neuroscience 13
Replace Ruixia Deng with:
Ruixia Deng Hong Kong
So Min Lee South Korea
In-Young Choi South Korea
Hong Lü China
Lu Ren China
Zhenzhen Qu China
Shermineh Moeini‐Nodeh Iran
Lan Han relative to Ruixia Deng Hong Kong Ruixia Deng's profile →
Citations per field
00.5×3.1×
Ruixia Deng · 1×
Citations per year

Countries citing papers authored by Lan Han

Since Specialization
Citations

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

Fields of papers citing papers by Lan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202268
2 202064
3 202038
4 202137
5 202135
6 202330
7 202225
8 202025
9 201524
10 201322
11 201520
12 201919
13 201918
14 201818
15 202416
16 201915
17 202015
18
Early maternal separation promotes apoptosis in dentate gyrus and alters neurological behaviors in adolescent rats.
201715
19 202015
20 202214

About Lan Han

Lan Han is a scholar working on Molecular Biology, Neurology, Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 43 papers that have together received 648 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Traditional Chinese Medicine Analysis (7 papers), Biological and pharmacological studies of plants (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Extracellular vesicles in disease (3 papers), Insect Resistance and Genetics (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Complementary and alternative medicine (80 citations), Biological Psychiatry (22 citations), Neurology (72 citations), Pharmacology (57 citations) and Behavioral Neuroscience (13 citations). Lan Han has collaborated with scholars based in China and United States. Frequent co-authors include Daiyin Peng, Can Peng, Xianchun Duan, Weidong Chen, Fan Xu, Zhuqing Liu, Lianhong Yin, Yan Qi, Mao Zhang and Lina Xu. Their work appears in journals such as Frontiers in Pharmacology, Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine, Journal of Pharmaceutical Analysis and Journal of Pharmaceutical and Biomedical Analysis.

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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