Lu Shen

3.4k citations
103 papers · 2.5k · 1 hit paper · h-index 24

Impact in

Papers in

Lu Shen

100 papers receiving 2.5k citations

Lu Shen's Hit Papers

Cytochrome P450 Enzymes and Drug Metabolism in Humans 2021 · 720 citations
7200+1+3Years since publication200400600

Peers

Lu Shen
Comparison fields: 5 of 121
  • Pharmacology 518
  • Cancer Research 206
  • Environmental Chemistry 100
  • Endocrinology, Diabetes and Metabolism 132
  • Molecular Biology 471
Replace Wolfgang Moritz with:
Wolfgang Moritz Switzerland
Zhongyuan Wang China
Fen Liu China
Alaina Jean Ammit Australia
Xiaoyu Li China
Tatjana P. Simic Serbia
Bradley L. Urquhart Canada
Rie Matsushima‐Nishiwaki Japan
Martine Daujat‐Chavanieu France
Nicoletta Gagliano Italy
Lu Shen relative to Wolfgang Moritz Switzerland Wolfgang Moritz's profile →
Citations per field
00.5×5×11.1×
Wolfgang Moritz · 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 103 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 →
2021720
2 2014170
3 2012123
4 202099
5 200875
6 201250
7 201846
8 201243
9 202041
10 201540
11 201539
12 201237
13 201537
14 201536
15 201735
16 201332
17 201230
18 202130
19 201128
20 201328

About Lu Shen

Lu Shen is a scholar working on Pharmacology, Psychiatry and Mental health, Environmental Chemistry, Cancer Research and Oncology, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Schizophrenia research and treatment (11 papers), Genetic Neurodegenerative Diseases (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Lung Cancer Treatments and Mutations (6 papers), Arsenic contamination and mitigation (6 papers), MicroRNA in disease regulation (5 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Pharmacology (518 citations), Cancer Research (206 citations), Environmental Chemistry (100 citations), Endocrinology, Diabetes and Metabolism (132 citations) and Molecular Biology (471 citations). Lu Shen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shengying Qin, Lin He, Mo Li, Cong Huai, Na Zhang, Mingzhe Zhao, Yingtian Zhang, Xianglong Zhao, Bixuan Jiang and Jingsong Ma. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Pharmacology, Toxicology Letters and Translational Psychiatry.

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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