Lin‐Yu Lu

508 citations
21 papers · 350 · h-index 11

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • RNA Interference and Gene Delivery
    • Genomics and Chromatin Dynamics

Papers in

    • DNA Repair Mechanisms 15
    • CRISPR and Genetic Engineering 8
    • RNA and protein synthesis mechanisms 3
    • Cancer-related Molecular Pathways 3
    • PARP inhibition in cancer therapy 3

Lin‐Yu Lu

18 papers receiving 347 citations

Peers

Lin‐Yu Lu
Comparison fields: 5 of 59
  • Molecular Biology 280
  • Aging 6
  • Reproductive Medicine 25
  • Genetics 76
  • Cell Biology 38
Replace Mónica Román-Trufero with:
Mónica Román-Trufero United Kingdom
Keiko Shioda United States
Rachel Kalifa Israel
Christelle de Renty United States
Mahalakshmi Nair United States
Han‐Yu Wang Taiwan
Emilie Abby Germany
Mariko Yamane Japan
Gary Horvath United States
Feikun Yang United States
Lin‐Yu Lu relative to Mónica Román-Trufero United Kingdom Mónica Román-Trufero's profile →
Citations per field
00.5×1.7×
Mónica Román-Trufero · 1×
Citations per year

Countries citing papers authored by Lin‐Yu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Yu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200649
2 200946
3 202242
4 202029
5 202029
6 202028
7 202027
8 201920
9 201415
10 201615
11 200614
12 201610
13 20246
14 20215
15 20095
16 20155
17 20242
18 20082
19 20221
20 20250

About Lin‐Yu Lu

Lin‐Yu Lu is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Reproductive Medicine, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), CRISPR and Genetic Engineering (8 papers), Cancer-related Molecular Pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Sperm and Testicular Function (3 papers), PARP inhibition in cancer therapy (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (280 citations), Aging (6 citations), Reproductive Medicine (25 citations), Genetics (76 citations) and Cell Biology (38 citations). Lin‐Yu Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaochun Yu, Yidan Liu, Michael S.Y. Huen, De‐Pei Liu, Jian‐Dong Huang, Rory M. Watt, Peng Li, Xintian Li, Bin Zhang and Lin Li. Their work appears in journals such as Cell Death and Differentiation, Journal of Biological Chemistry, Cell & Bioscience, Cell Death and Disease 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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