Wen Luo

833 citations
39 papers · 403 · h-index 12

Impact in

  • Biochemistry top 10%
    • Sulfur Compounds in Biology
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Natural product bioactivities and synthesis 3
    • Ginseng Biological Effects and Applications 3
    • Parkinson's Disease Mechanisms and Treatments 8
    • Neurological disorders and treatments 3

Wen Luo

34 papers receiving 400 citations

Peers

Wen Luo
Comparison fields: 5 of 78
  • Biochemistry 51
  • Neurology 50
  • Cancer Research 35
  • Pharmacology 21
  • Food Science 44
Replace Caterina Loredana Mammola with:
Caterina Loredana Mammola Italy
Vítor de Miranda Ramos Brazil
Haibo Hu China
Takeshi Haseba Japan
Sonia Salzano Italy
Taeg‐Kyu Kwon South Korea
Chuanguo Liu China
Jiayuan Wu China
Ruixia Deng Hong Kong
Wen Luo relative to Caterina Loredana Mammola Italy Caterina Loredana Mammola's profile →
Citations per field
00.5×2×4×6.3×
Caterina Loredana Mammola · 1×
Citations per year

Countries citing papers authored by Wen Luo

Since Specialization
Citations

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

Fields of papers citing papers by Wen Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201837
2 202033
3 202132
4 202029
5 202228
6 202022
7 202121
8 201919
9 200418
10 202313
11 202511
12 202111
13 202310
14 202110
15 201810
16 202110
17 20209
18 20219
19 20228
20 20238

About Wen Luo

Wen Luo is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Physiology and Epidemiology, having authored 39 papers that have together received 403 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Sulfur Compounds in Biology (4 papers), Neurological disorders and treatments (3 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (3 papers), Natural product bioactivities and synthesis (3 papers), Ginseng Biological Effects and Applications (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biochemistry (51 citations), Neurology (50 citations), Cancer Research (35 citations), Pharmacology (21 citations) and Food Science (44 citations). Wen Luo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wenxue Zhang, Jian Guo, Zhong Ren, Lu-Shan Liu, Thomas M. Durcan, Qin Ouyang, Xuan Wang, Edward A. Fon, Esther del Cid‐Pellitero and Chongning Lv. Their work appears in journals such as npj Parkinson s Disease, Cardiovascular Drugs and Therapy, Molecular and Cellular Biochemistry, Current Microbiology and Chinese Journal of Natural Medicines.

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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