Weisi Lu

1.6k citations
23 papers · 812 · h-index 14

Impact in

  • Aging top 5%
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • Cancer-related gene regulation
    • Glycosylation and Glycoproteins Research
    • Pluripotent Stem Cells Research

Papers in

    • CRISPR and Genetic Engineering 5
    • Epigenetics and DNA Methylation 4
    • Angiogenesis and VEGF in Cancer 3
    • Pluripotent Stem Cells Research 3
    • Telomeres, Telomerase, and Senescence 4

Weisi Lu

22 papers receiving 809 citations

Peers

Weisi Lu
Comparison fields: 5 of 87
  • Aging 45
  • Molecular Biology 563
  • Physiology 193
  • Cancer Research 102
  • Genetics 44
Replace Kimberly Batten with:
Kimberly Batten United States
Emmanuelle Saint‐Germain Canada
Stéphane Lopes‐Paciencia Canada
Marie‐Camille Rowell Canada
Giuseppe Cammarata Italy
Judith Campisi United States
Nolan G. Ericson United States
Walbert J. Bakker Netherlands
Anwaar Ahmad United States
Radiance Lim Singapore
Weisi Lu relative to Kimberly Batten United States Kimberly Batten's profile →
Citations per field
00.5×1.5×
Kimberly Batten · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012191
2 2013116
3 2015107
4 201560
5 201256
6 201254
7 201536
8 201733
9 201324
10 201919
11 202318
12 202117
13 201716
14 201316
15 201711
16 201710
17 20218
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 23 papers that have together received 812 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Epigenetics and DNA Methylation (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Retinal Diseases and Treatments (3 papers), Pluripotent Stem Cells Research (3 papers), Mesenchymal stem cell research (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Aging (45 citations), Molecular Biology (563 citations), Physiology (193 citations), Cancer Research (102 citations) and Genetics (44 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, Feng-Tao Shi, Dan Liu, Quanyuan He, Xuri Li, Hyeung Kim and Junjiu Huang. Their work appears in journals such as Journal of Biological Chemistry, Stem Cells, Open Biology, Current Molecular Medicine and Molecular Aspects of Medicine.

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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