Peter Y. Wang

416 total citations
10 papers, 251 citations indexed

About

Peter Y. Wang is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Peter Y. Wang has authored 10 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Peter Y. Wang's work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers) and MicroRNA in disease regulation (4 papers). Peter Y. Wang is often cited by papers focused on RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers) and MicroRNA in disease regulation (4 papers). Peter Y. Wang collaborates with scholars based in United States and Germany. Peter Y. Wang's co-authors include David P. Bartel, Alec N. Sexton, Matthew D. Simon, Daniel Briskin, Michael Rutenberg-Schoenberg, William J. Lu-Culligan, Namita Bisaria, Thy Pham, Sean E. McGeary and Christopher B. Burge and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Peter Y. Wang

8 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Y. Wang United States 7 226 105 6 6 6 10 251
Lara E. Elcavage United States 5 233 1.0× 203 1.9× 4 0.7× 12 2.0× 6 1.0× 7 264
Veronica F. Busa United States 6 239 1.1× 109 1.0× 4 0.7× 6 1.0× 12 2.0× 8 260
Denise Thiel Germany 3 161 0.7× 53 0.5× 9 1.5× 5 0.8× 4 0.7× 3 185
Matthias Blum United Kingdom 5 164 0.7× 102 1.0× 8 1.3× 9 1.5× 12 2.0× 10 214
Fieda Abderazzaq United States 3 145 0.6× 64 0.6× 2 0.3× 12 2.0× 8 1.3× 4 162
Iryna Irkliyenko United States 4 222 1.0× 88 0.8× 6 1.0× 4 0.7× 3 0.5× 5 233
Collette A. LaVigne United States 4 181 0.8× 116 1.1× 4 0.7× 10 1.7× 8 1.3× 7 213
Elizabeth M. Munding United States 5 202 0.9× 63 0.6× 3 0.5× 13 2.2× 8 1.3× 5 224
Jason J. Merkin United States 6 249 1.1× 45 0.4× 6 1.0× 21 3.5× 6 1.0× 6 276
Valentina Botti United States 4 306 1.4× 41 0.4× 3 0.5× 10 1.7× 6 1.0× 6 319

Countries citing papers authored by Peter Y. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peter Y. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Y. 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 Peter Y. Wang. The network helps show where Peter Y. Wang may publish in the future.

Co-authorship network of co-authors of Peter Y. Wang

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

All Works

10 of 10 papers shown
1.
2.
Wang, Peter Y., et al.. (2025). Functional microRNA targeting without seed pairing. Nucleic Acids Research. 53(19).
3.
Wang, Peter Y., et al.. (2024). The structural basis for RNA slicing by human Argonaute2. Cell Reports. 44(1). 115166–115166. 10 indexed citations
4.
Wang, Peter Y. & David P. Bartel. (2024). The guide-RNA sequence dictates the slicing kinetics and conformational dynamics of the Argonaute silencing complex. Molecular Cell. 84(15). 2918–2934.e11. 9 indexed citations
5.
Wang, Peter Y. & David P. Bartel. (2023). A statistical approach for identifying primary substrates of ZSWIM8-mediated microRNA degradation in small-RNA sequencing data. BMC Bioinformatics. 24(1). 195–195. 4 indexed citations
6.
McGeary, Sean E., Namita Bisaria, Thy Pham, Peter Y. Wang, & David P. Bartel. (2022). MicroRNA 3′-compensatory pairing occurs through two binding modes, with affinity shaped by nucleotide identity and position. eLife. 11. 45 indexed citations
7.
Briskin, Daniel, Peter Y. Wang, & David P. Bartel. (2020). The biochemical basis for the cooperative action of microRNAs. Proceedings of the National Academy of Sciences. 117(30). 17764–17774. 61 indexed citations
8.
Begg, Bridget E., et al.. (2020). Concentration-dependent splicing is enabled by Rbfox motifs of intermediate affinity. Nature Structural & Molecular Biology. 27(10). 901–912. 33 indexed citations
9.
Wang, Peter Y., Alec N. Sexton, William J. Lu-Culligan, & Matthew D. Simon. (2018). Carbodiimide reagents for the chemical probing of RNA structure in cells. RNA. 25(1). 135–146. 42 indexed citations
10.
Sexton, Alec N., Peter Y. Wang, Michael Rutenberg-Schoenberg, & Matthew D. Simon. (2017). Interpreting Reverse Transcriptase Termination and Mutation Events for Greater Insight into the Chemical Probing of RNA. Biochemistry. 56(35). 4713–4721. 47 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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