Dan Lou

1.1k citations
48 papers · 829 · h-index 17

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • RNA Interference and Gene Delivery 4
    • Cell death mechanisms and regulation 4
    • Peroxisome Proliferator-Activated Receptors 3
    • Retinoids in leukemia and cellular processes 2
    • Paraquat toxicity studies and treatments 7

Dan Lou

47 papers receiving 819 citations

Peers

Dan Lou
Comparison fields: 5 of 107
  • Aging 18
  • Biological Psychiatry 18
  • Cellular and Molecular Neuroscience 122
  • Developmental Neuroscience 27
  • Molecular Biology 411
Replace Paolo Mondola with:
Paolo Mondola Italy
Juanita Bustamante Argentina
Weidong Huang China
Huangyuan Li China
Joseph L. Borowitz United States
Dominika Malińska Poland
Alma Ortíz-Plata Mexico
Daniel José Barbosa Portugal
Liling Wang China
Dan Lou relative to Paolo Mondola Italy Paolo Mondola's profile →
Citations per field
00.5×1.6×
Paolo Mondola · 1×
Citations per year

Countries citing papers authored by Dan Lou

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Lou, 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 Dan Lou Line = papers co-authored together Dan Lou 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 2002102
2 201955
3 201552
4 201650
5 201350
6 202047
7 201146
8 201839
9 202127
10 200024
11 200621
12 201320
13 201919
14 201418
15 201517
16 200116
17 201216
18 201815
19 201714
20 202014

About Dan Lou

Dan Lou is a scholar working on Molecular Biology, Surgery, Cancer Research, Pharmacology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 829 indexed citations. Recurring topics across this work include Paraquat toxicity studies and treatments (7 papers), Epigenetics and DNA Methylation (5 papers), RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (4 papers), Genetic Syndromes and Imprinting (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cell Adhesion Molecules Research (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Aging (18 citations), Biological Psychiatry (18 citations), Cellular and Molecular Neuroscience (122 citations), Developmental Neuroscience (27 citations) and Molecular Biology (411 citations). Dan Lou has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhijun Zhou, Zhibin Wang, Ming Xu, Jianhua Zhang, Xiuli Chang, Huishan Wang, Lu Zhang, Yusaku Nakabeppu, Dongsheng Zhang and Dongtao Zhang. Their work appears in journals such as Frontiers in Genetics, Biochemical and Biophysical Research Communications, Journal of Clinical Monitoring and Computing, Bioorganic & Medicinal Chemistry Letters and New Journal of Chemistry.

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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