Weisi Lu

1.6k citations
24 papers · 837 · h-index 14

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • CRISPR and Genetic Engineering 4
    • Pluripotent Stem Cells Research 3
    • Angiogenesis and VEGF in Cancer 3
    • Cancer-related gene regulation 2
    • Telomeres, Telomerase, and Senescence 4

Weisi Lu

22 papers receiving 835 citations

Peers

Weisi Lu
Comparison fields: 5 of 82
  • Aging 39
  • Physiology 194
  • Molecular Biology 535
  • Cancer Research 81
  • Genetics 41
Replace Kasit Chatsirisupachai with:
Kasit Chatsirisupachai United Kingdom
Stéphane Lopes‐Paciencia Canada
Giuseppe Cammarata Italy
Kimberly Batten United States
Yann Nouët France
Radiance Lim Singapore
Raffaele Ambrosio Italy
Judith Campisi United States
Nolan G. Ericson United States
Meixia Bi United States
Weisi Lu relative to Kasit Chatsirisupachai United Kingdom Kasit Chatsirisupachai's profile →
Citations per field
00.5×20×40×68×
Kasit Chatsirisupachai · 1×
Citations per year

Countries citing papers authored by Weisi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Weisi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012197
2 2013117
3 2015108
4 201562
5 201257
6 201255
7 201536
8 201733
9 202326
10 201325
11 202119
12 201919
13 201316
14 201716
15 201711
16 201710
17 202110
18 20227
19 20195
20 20184

About Weisi Lu

Weisi Lu is a scholar working on Molecular Biology, Physiology, Ophthalmology, Oncology and Cancer Research, having authored 24 papers that have together received 837 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Telomeres, Telomerase, and Senescence (4 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Aging (39 citations), Physiology (194 citations), Molecular Biology (535 citations), Cancer Research (81 citations) and Genetics (41 citations). Weisi Lu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhou Songyang, Ma Wan, Yi Zhang, Dan Liu, Dan Liu, Feng-Tao Shi, Xuri Li, Quanyuan He, Hyeung Kim and Junjiu Huang. Their work appears in journals such as Journal of Biological Chemistry, Stem Cells, Fundamental Research, Pharmacological Research and Experimental Eye Research.

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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