Peter Y. Wang

416 citations
10 papers · 251 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 4
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 2
    • RNA regulation and disease 1
    • MicroRNA in disease regulation 4

Peter Y. Wang

8 papers receiving 248 citations

Peers

Peter Y. Wang
Comparison fields: 5 of 48
  • Cancer Research 105
  • Molecular Biology 226
  • Aging 4
  • Virology 2
  • Cell Biology 5
Replace Denise Thiel with:
Denise Thiel Germany
Sara Espinosa United States
Samir Adhikari United States
Fieda Abderazzaq United States
Alice Wenger Denmark
Evdoxia Karadoulama Denmark
Lara E. Elcavage United States
Veronica F. Busa United States
Jason J. Merkin United States
Rozemarijn Kleinendorst Germany
Peter Y. Wang relative to Denise Thiel Germany Denise Thiel's profile →
Citations per field
00.5×5.7×
Denise Thiel · 1×
Citations per year

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-authors

The 16 scholars most cited alongside Peter Y. Wang, 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 Peter Y. Wang Line = papers co-authored together Peter Y. Wang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202061
2 201747
3 202245
4 201842
5 202033
6 202410
7 20249
8 20234
9 20260
10 20250

About Peter Y. Wang

Peter Y. Wang is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 251 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and RNA regulation and disease (1 paper). The work is most often cited by research in Cancer Research (105 citations), Molecular Biology (226 citations), Aging (4 citations), Virology (2 citations) and Cell Biology (5 citations). Peter Y. Wang has collaborated with scholars based in United States and Germany. Frequent co-authors include David P. Bartel, Matthew D. Simon, Alec N. Sexton, Daniel Briskin, Michael Rutenberg-Schoenberg, William J. Lu-Culligan, Thy Pham, Sean E. McGeary, Namita Bisaria and Marvin Jens. Their work appears in journals such as Nature Structural & Molecular Biology, BMC Bioinformatics, Cell Reports, RNA and Nature.

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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