Shih-Ya Wang

1.4k total citations
9 papers, 751 citations indexed

About

Shih-Ya Wang is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Shih-Ya Wang has authored 9 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Shih-Ya Wang's work include DNA Repair Mechanisms (9 papers), Cancer-related Molecular Pathways (5 papers) and PARP inhibition in cancer therapy (3 papers). Shih-Ya Wang is often cited by papers focused on DNA Repair Mechanisms (9 papers), Cancer-related Molecular Pathways (5 papers) and PARP inhibition in cancer therapy (3 papers). Shih-Ya Wang collaborates with scholars based in United States, Netherlands and United Kingdom. Shih-Ya Wang's co-authors include David J. Chen, Yosef Shiloh, Maayan Salton, Yaniv Lerenthal, Ran Elkon, Yael Ziv, Alexander Schmidt, Ariel Bensimon, Ruedi Aebersold and Benjamin P.C. Chen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shih-Ya Wang

9 papers receiving 745 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shih-Ya Wang United States 8 666 203 136 74 47 9 751
Linda Baskcomb United Kingdom 5 693 1.0× 208 1.0× 111 0.8× 34 0.5× 30 0.6× 5 772
Sophie Cotteret France 11 484 0.7× 181 0.9× 73 0.5× 105 1.4× 45 1.0× 42 643
Colin J. Daniel United States 14 704 1.1× 291 1.4× 144 1.1× 62 0.8× 56 1.2× 21 815
Chiara Naro Italy 14 670 1.0× 139 0.7× 174 1.3× 45 0.6× 68 1.4× 22 809
Nasrollah Saleh-Gohari Iran 14 811 1.2× 247 1.2× 154 1.1× 63 0.9× 23 0.5× 29 991
Margret B. Einarson United States 16 524 0.8× 163 0.8× 118 0.9× 161 2.2× 78 1.7× 28 760
Srikumar Chellappan United States 7 412 0.6× 129 0.6× 139 1.0× 71 1.0× 32 0.7× 10 556
Francesca Mateo Spain 13 582 0.9× 148 0.7× 144 1.1× 63 0.9× 53 1.1× 18 672
Poonam R. Molli United States 11 396 0.6× 196 1.0× 63 0.5× 102 1.4× 31 0.7× 13 533
Renier Vélez-Cruz United States 13 608 0.9× 189 0.9× 93 0.7× 57 0.8× 35 0.7× 15 692

Countries citing papers authored by Shih-Ya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Ya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Ya Wang. 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 Shih-Ya Wang. The network helps show where Shih-Ya Wang may publish in the future.

Co-authorship network of co-authors of Shih-Ya Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Ya Wang. A scholar is included among the top collaborators of Shih-Ya Wang 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 Shih-Ya Wang. Shih-Ya Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Saha, Janapriya, Shih-Ya Wang, & Anthony J. Davis. (2017). Examining DNA Double-Strand Break Repair in a Cell Cycle-Dependent Manner. Methods in enzymology on CD-ROM/Methods in enzymology. 591. 97–118. 15 indexed citations
2.
Davis, Anthony J., Shih-Ya Wang, David J. Chen, & Benjamin P.C. Chen. (2017). Imaging of Fluorescently Tagged ATM Kinase at the Sites of DNA Double Strand Breaks. Methods in molecular biology. 1599. 277–285. 4 indexed citations
3.
Lee, Kyung Jong, Janapriya Saha, Jingxin Sun, et al.. (2015). Phosphorylation of Ku dictates DNA double-strand break (DSB) repair pathway choice in S phase. Nucleic Acids Research. 44(4). 1732–1745. 75 indexed citations
4.
Chung, Young‐Min, See‐Hyoung Park, Wen-Bin Tsai, et al.. (2012). FOXO3 signalling links ATM to the p53 apoptotic pathway following DNA damage. Nature Communications. 3(1). 1000–1000. 75 indexed citations
5.
Liu, Shangfeng, Jessica Chu, Nur Yucer, et al.. (2011). RING Finger and WD Repeat Domain 3 (RFWD3) Associates with Replication Protein A (RPA) and Facilitates RPA-mediated DNA Damage Response. Journal of Biological Chemistry. 286(25). 22314–22322. 62 indexed citations
6.
Salton, Maayan, Yaniv Lerenthal, Shih-Ya Wang, David J. Chen, & Yosef Shiloh. (2010). Involvement of Matrin 3 and SFPQ/NONO in the DNA damage response. Cell Cycle. 9(8). 1568–1576. 168 indexed citations
7.
Bensimon, Ariel, Alexander Schmidt, Yael Ziv, et al.. (2010). ATM-Dependent and -Independent Dynamics of the Nuclear Phosphoproteome After DNA Damage. Science Signaling. 3(151). rs3–rs3. 232 indexed citations
8.
Wang, Shih-Ya, H. Helen Lin, Clay C. C. Wang, et al.. (2009). Suppression of Nonhomologous End Joining Repair by Overexpression of HMGA2. Cancer Research. 69(14). 5699–5706. 68 indexed citations
9.
Weterings, Eric, Nicole S. Verkaik, Guido Keijzers, et al.. (2008). The Ku80 Carboxy Terminus Stimulates Joining and Artemis-Mediated Processing of DNA Ends. Molecular and Cellular Biology. 29(5). 1134–1142. 52 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026