Lu Zhou

6.8k citations
115 papers · 2.8k · h-index 30

Impact in

    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Sphingolipid Metabolism and Signaling

Papers in

    • Sphingolipid Metabolism and Signaling 10
    • Chemical Synthesis and Analysis 9
    • Glycosylation and Glycoproteins Research 5
    • Peptidase Inhibition and Analysis 9

Lu Zhou

106 papers receiving 2.8k citations

Peers

Lu Zhou
Comparison fields: 5 of 133
  • Cancer Research 349
  • Molecular Biology 1.4k
  • Structural Biology 28
  • Biophysics 105
  • Toxicology 48
Replace Natacha Rochel with:
Natacha Rochel France
J. Jefferson P. Perry United States
C. Logan Mackay United Kingdom
Tomoko Okada Japan
George D.D. Jones United Kingdom
Na Sun China
Michael Grusch Austria
Claudia Escher Germany
Grant Buchanan Australia
Lirong Chen China
Lu Zhou relative to Natacha Rochel France Natacha Rochel's profile →
Citations per field
00.5×2×3×3.6×
Natacha Rochel · 1×
Citations per year

Countries citing papers authored by Lu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Lu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017247
2 2022148
3 2008120
4 2006117
5 2014116
6 2017104
7 2017104
8 201682
9 201777
10 201175
11 202169
12 202361
13 201057
14 201654
15 201250
16 201045
17 202241
18 202041
19 201940
20 201838

About Lu Zhou

Lu Zhou is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Cell Biology, having authored 115 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Sphingolipid Metabolism and Signaling (10 papers), Peptidase Inhibition and Analysis (9 papers), Climate Change and Health Impacts (9 papers), Chemical Synthesis and Analysis (9 papers), Computational Drug Discovery Methods (7 papers), Click Chemistry and Applications (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Cancer Research (349 citations), Molecular Biology (1.4k citations), Structural Biology (28 citations), Biophysics (105 citations) and Toxicology (48 citations). Lu Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Luhua Lai, G. Ulrich Nienhaus, Deyong Ye, Jianfeng Pei, Haidong Kan, Renjie Chen, Ping Wei, Changkang Huang, Cheng He and Karin Nienhaus. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society and Nature Communications.

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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