Dayun Lu

838 citations
17 papers · 211 · h-index 8

Impact in

    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Protein Degradation and Inhibitors
    • Metabolomics and Mass Spectrometry Studies

Papers in

    • Ubiquitin and proteasome pathways 7
    • Signaling Pathways in Disease 1
    • Cancer-related Molecular Pathways 2
    • Peptidase Inhibition and Analysis 2

Dayun Lu

17 papers receiving 209 citations

Peers

Dayun Lu
Comparison fields: 5 of 53
  • Cancer Research 38
  • Molecular Biology 160
  • Spectroscopy 30
  • Oncology 49
  • Cell Biology 17
Replace Josiah E. Hutton with:
Josiah E. Hutton United States
Sarah Röthlisberger Colombia
Frank Rolfs Netherlands
Unnur A. Thorsteinsdottir Iceland
Erika Deoudes United States
Kathleen T Hasselblatt United States
Lisa Ellmann Germany
Enio Gjerga Germany
Ivana Ihnatová Czechia
Dayun Lu relative to Josiah E. Hutton United States Josiah E. Hutton's profile →
Citations per field
00.5×1.5×
Josiah E. Hutton · 1×
Citations per year

Countries citing papers authored by Dayun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dayun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202069
2 201926
3 202321
4 201921
5 202215
6 201913
7 20209
8 20199
9 20247
10 20225
11 20194
12 20243
13 20223
14 20252
15 20242
16 20231
17 20221

About Dayun Lu

Dayun Lu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cell Biology, having authored 17 papers that have together received 211 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Cancer, Lipids, and Metabolism (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related Molecular Pathways (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Peptidase Inhibition and Analysis (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cancer Research (38 citations), Molecular Biology (160 citations), Spectroscopy (30 citations), Oncology (49 citations) and Cell Biology (17 citations). Dayun Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hu Zhou, Da‐Qiang Li, Qin Lu, Hongwen Zhu, Zhi‐Ming Shao, Zhi‐Ming Shao, Pingfu Hou, George Rosenberger, Wenxue Li and Qian Ba. Their work appears in journals such as Journal of Proteome Research, Schizophrenia Bulletin, National Science Review, Cancer Medicine and Acta Pharmacologica Sinica.

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.

Explore authors with similar magnitude of impact