Lu Shen

3.4k citations
109 papers · 2.4k · 1 hit paper · h-index 24

Impact in

    • Pharmacogenetics and Drug Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • DNA Repair Mechanisms 4
    • Drug Transport and Resistance Mechanisms 7
    • Cancer-related Molecular Pathways 5

Lu Shen

104 papers receiving 2.3k citations

Lu Shen's Hit Papers

Cytochrome P450 Enzymes and Drug Metabolism in Humans 2021 · 604 citations
6040+1+3Years since publication200400600

Peers

Lu Shen
Comparison fields: 5 of 141
  • Pharmacology 376
  • Cancer Research 309
  • Molecular Biology 893
  • Oncology 296
  • Endocrinology, Diabetes and Metabolism 156
Replace Yan Shu with:
Yan Shu United States
Ling Dong China
Heqing Huang China
Ignazio Grattagliano Italy
János Fehér Hungary
Xuanbin Wang China
Agnieszka Śliwińska Poland
Lois D. Lehman‐McKeeman United States
Jianping Zhang China
Lu Shen relative to Yan Shu United States Yan Shu's profile →
Citations per field
00.5×1.5×2.1×
Yan Shu · 1×
Citations per year

Countries citing papers authored by Lu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytochrome P450 Enzymes and Drug Metabolism in Humans
Hit paper breakdown →
2021604
2 2014161
3 2012118
4 196896
5 202089
6 200870
7 201245
8 201843
9 201242
10 201540
11 202038
12 201237
13 201536
14 201534
15 201332
16 201531
17 201728
18 202127
19 201127
20 201226

About Lu Shen

Lu Shen is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Cellular and Molecular Neuroscience, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (7 papers), Lung Cancer Treatments and Mutations (6 papers), Genetic Associations and Epidemiology (5 papers), Cancer-related Molecular Pathways (5 papers), Schizophrenia research and treatment (5 papers), Genetic Neurodegenerative Diseases (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Pharmacology (376 citations), Cancer Research (309 citations), Molecular Biology (893 citations), Oncology (296 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Lu Shen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Shengying Qin, Lin He, Mo Li, Cong Huai, Na Zhang, Mingzhe Zhao, Xianglong Zhao, Bixuan Jiang, Yingtian Zhang and Jingsong Ma. Their work appears in journals such as PLoS ONE, Genomics, Toxicology Letters, Translational Psychiatry and Frontiers in Pharmacology.

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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