Lu Han

2.0k citations
102 papers · 1.5k · h-index 24

Impact in

Papers in

    • Ubiquitin and proteasome pathways 8
    • Genomics, phytochemicals, and oxidative stress 6
    • Peroxisome Proliferator-Activated Receptors 4
    • Free Radicals and Antioxidants 6

Lu Han

91 papers receiving 1.5k citations

Peers

Lu Han
Comparison fields: 5 of 130
  • Developmental Neuroscience 166
  • Critical Care and Intensive Care Medicine 103
  • Biochemistry 89
  • Anesthesiology and Pain Medicine 61
  • Pharmacology 76
Replace Xiujing Feng with:
Xiujing Feng China
Yujuan Li China
Xuan Zhang China
Hui Xu China
Zhen Wei China
Xin Tian China
Jingjie Li China
Shiying Huang China
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Citations per field
00.5×1.5×2.2×
Xiujing Feng · 1×
Citations per year

Countries citing papers authored by Lu Han

Since Specialization
Citations

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

Fields of papers citing papers by Lu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 201475
3 201773
4 201773
5 200264
6 201445
7 200644
8 201944
9 201338
10 201436
11 201835
12 202034
13 201634
14 201033
15 201432
16 201131
17 201630
18 201228
19 201928
20 201525

About Lu Han

Lu Han is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Ubiquitin and proteasome pathways (8 papers), Anesthesia and Neurotoxicity Research (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Free Radicals and Antioxidants (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (166 citations), Critical Care and Intensive Care Medicine (103 citations), Biochemistry (89 citations), Anesthesiology and Pain Medicine (61 citations) and Pharmacology (76 citations). Lu Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Liu, Xican Li, Dongfeng Chen, Michael Reding, Guanghong Xu, Sulpicio G. Soriano, Zhongcong Xie, Yuanlin Dong, Qingsheng Xue and Buwei Yu. Their work appears in journals such as Fuel, PLoS ONE, Frontiers in Immunology, Neuropharmacology and Brain Research.

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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