Wei Ting C. Lee

944 total citations · 1 hit paper
8 papers, 596 citations indexed

About

Wei Ting C. Lee is a scholar working on Molecular Biology, Biophysics and Structural Biology. According to data from OpenAlex, Wei Ting C. Lee has authored 8 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Structural Biology. Recurrent topics in Wei Ting C. Lee's work include DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Wei Ting C. Lee is often cited by papers focused on DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Wei Ting C. Lee collaborates with scholars based in United States, Switzerland and Australia. Wei Ting C. Lee's co-authors include Eli Rothenberg, Yandong Yin, Donna R. Whelan, Sharon B. Cantor, Michael J. Morten, Jos Jonkers, Neil Johnson, John J. Turchi, Ke Cong and Nicholas J. Panzarino and has published in prestigious journals such as Nature Communications, Molecular Cell and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Wei Ting C. Lee

8 papers receiving 594 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Replication gaps are a key determinant of PARP inhibitor synthetic lethality with BRCA deficiency

2021 229 citations Ke Cong, Min Peng et al. Molecular Cell profile →

Peers

Wei Ting C. Lee

MB

ONCOL

GENET

CR

PS

Jone Michelena Switzerland

Logan R. Myler United States

Hana Polášek-Sedláčková Czechia

Ondrej Beláň United Kingdom

Chu Jian United States

Raquel Cuella-Martin United States

Fena Ochs Denmark

Sean Howard United States

Coline Arnould France

Charlène Lemaître France

Jone Michelena Switzerland

Wei Ting C. Lee

562 ×1.0

MB

171 ×0.8

ONCOL

30 ×0.6

GENET

34 ×0.8

CR

23 ×0.7

PS

Citations per year, relative to Wei Ting C. Lee Wei Ting C. Lee (= 1×) peers Jone Michelena

Countries citing papers authored by Wei Ting C. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Wei Ting C. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Ting C. Lee. 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 Wei Ting C. Lee. The network helps show where Wei Ting C. Lee may publish in the future.

Co-authorship network of co-authors of Wei Ting C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ting C. Lee. A scholar is included among the top collaborators of Wei Ting C. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Ting C. Lee. Wei Ting C. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lee, Wei Ting C., Yandong Yin, Michael J. Morten, et al.. (2021). Single-molecule imaging reveals replication fork coupled formation of G-quadruplex structures hinders local replication stress signaling. Nature Communications. 12(1). 2525–2525. 68 indexed citations

2.

Cong, Ke, Min Peng, Arne Nedergaard Kousholt, et al.. (2021). Replication gaps are a key determinant of PARP inhibitor synthetic lethality with BRCA deficiency. Molecular Cell. 81(15). 3128–3144.e7. 229 indexed citations breakdown →

3.

Lee, Wei Ting C., Dipika Gupta, & Eli Rothenberg. (2021). Single-molecule imaging of replication fork conflicts at genomic DNA G4 structures in human cells. Methods in enzymology on CD-ROM/Methods in enzymology. 661. 77–94. 3 indexed citations

4.

Whelan, Donna R., et al.. (2020). Super-resolution visualization of distinct stalled and broken replication fork structures. PLoS Genetics. 16(12). e1009256–e1009256. 19 indexed citations

5.

Lee, Wei Ting C., et al.. (2020). Cancer-associated mutations in the iron-sulfur domain of FANCJ affect G-quadruplex metabolism. PLoS Genetics. 16(6). e1008740–e1008740. 21 indexed citations

6.

Yin, Yandong, Wei Ting C. Lee, & Eli Rothenberg. (2019). Ultrafast data mining of molecular assemblies in multiplexed high-density super-resolution images. Nature Communications. 10(1). 119–119. 21 indexed citations

7.

Whelan, Donna R., Wei Ting C. Lee, Yandong Yin, et al.. (2018). Spatiotemporal dynamics of homologous recombination repair at single collapsed replication forks. Nature Communications. 9(1). 3882–3882. 46 indexed citations

8.

D’Alessandro, Giuseppina, Donna R. Whelan, Sean Howard, et al.. (2018). BRCA2 controls DNA:RNA hybrid level at DSBs by mediating RNase H2 recruitment. Nature Communications. 9(1). 5376–5376. 189 indexed citations

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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