Wenge Lu

1.2k citations
19 papers · 1.0k · h-index 15

Impact in

Papers in

    • Cancer-related Molecular Pathways 9
    • Ubiquitin and proteasome pathways 3
    • RNA modifications and cancer 2

Wenge Lu

19 papers receiving 995 citations

Peers

Wenge Lu
Comparison fields: 5 of 90
  • Oncology 455
  • Biotechnology 94
  • Cancer Research 120
  • Endocrinology, Diabetes and Metabolism 128
  • Cell Biology 128
Replace Emma Marshman with:
Emma Marshman United Kingdom
Xiaotan T. Qiao United States
Julia A. Ju United States
Jean Charles Dagorn France
Kazuhito Sakamoto United States
Keiichi I. Nakayama Japan
Jodie M. Fleming United States
Maureen Spit Netherlands
Francine Grondin Canada
Daniela Giunciuglio Italy
Wenge Lu relative to Emma Marshman United Kingdom Emma Marshman's profile →
Citations per field
00.5×3.2×
Emma Marshman · 1×
Citations per year

Countries citing papers authored by Wenge Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wenge Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001154
2 2003108
3 2000100
4 200194
5 200072
6 199965
7 200263
8 200460
9 199959
10 200155
11 200438
12
Expression of p14ARF overcomes tumor resistance to p53.
200232
13 200829
14 200529
15 200327
16 200514
17 200013
18 20047
19 20217

About Wenge Lu

Wenge Lu is a scholar working on Oncology, Molecular Biology, Biotechnology, Cell Biology and Nutrition and Dietetics, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (6 papers), Ubiquitin and proteasome pathways (3 papers), Infant Nutrition and Health (3 papers), Immune Response and Inflammation (3 papers), Microtubule and mitosis dynamics (2 papers), Neonatal Respiratory Health Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Oncology (455 citations), Biotechnology (94 citations), Cancer Research (120 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Cell Biology (128 citations). Wenge Lu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jiandong Chen, Yanhua Peng, Lihong Chen, Run Yu, Шломо Мелмед, Changgong Li, Akhil Maheshwari, Darlene A Calhoun, Robert D. Christensen and Radhika Pochampally. Their work appears in journals such as Journal of Biological Chemistry, Pediatric Research, Cytokine, Oncogene and Biochemical and Biophysical Research 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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