Peter L. Wang
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- Extracellular vesicles in disease
Papers in
-
- Circular RNAs in diseases 6
- RNA Research and Splicing 5
- Molecular Biology Techniques and Applications 2
-
- Immune cells in cancer 2
- Co-authors
- Julia Salzman (9 shared papers)Patrick O. Brown (4 shared papers)Mari Olsen (3 shared papers)Raymond Chen (2 shared papers)Steven Barrett (2 shared papers)Gregory J. Hogan (1 shared paper)José R. Dinneny (1 shared paper)Muh‐Ching Yee (1 shared paper)
- Journals
- eLife (2 papers)Genome biology (2 papers)PLoS Genetics (2 papers)Protein Engineering Design and Selection (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Peter L. Wang
17 papers receiving 3.8k citations
Peter L. Wang's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 2.5k
- Molecular Biology 3.4k
- Neurology 90
- Immunology 225
- Developmental Neuroscience 36
Countries citing papers authored by Peter L. Wang
This map shows the geographic impact of Peter L. 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 L. 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 L. Wang more than expected).
Fields of papers citing papers by Peter L. Wang
This network shows the impact of papers produced by Peter L. 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 L. Wang. The network helps show where Peter L. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter L. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cell-Type Specific Features of Circular RNA Expression Hit paper breakdown → | 2013 | 1558 |
| 2 | Circular RNA Is Expressed across the Eukaryotic Tree of Life Hit paper breakdown → | 2014 | 610 |
| 3 | Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development Hit paper breakdown → | 2015 | 466 |
| 4 | 2015 | 376 | |
| 5 | 2013 | 305 | |
| 6 | 2014 | 151 | |
| 7 | 2020 | 112 | |
| 8 | 2017 | 52 | |
| 9 | 2022 | 52 | |
| 10 | 2011 | 41 | |
| 11 | 2001 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2022 | 24 | |
| 14 | 2005 | 11 | |
| 15 | 2000 | 9 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 3 |
About Peter L. Wang
Peter L. Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 17 papers that have together received 3.9k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (3.4k citations), Neurology (90 citations), Immunology (225 citations) and Developmental Neuroscience (36 citations). Peter L. Wang has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Julia Salzman, Patrick O. Brown, Mari Olsen, Raymond Chen, Steven Barrett, Gregory J. Hogan, José R. Dinneny, Muh‐Ching Yee, Yun Bao and Robert Morey. Their work appears in journals such as eLife, Genome biology, PLoS Genetics, Protein Engineering Design and Selection and Oncogene.
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.