Peter L. Wang
- Cancer Research top 0.5%
- MicroRNA in disease regulation 3
- Molecular Biology top 2%
- Circular RNAs in diseases 5
- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 2
- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 2
- Immunology top 10%
- Immune cells in cancer 2
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Developmental Neuroscience top 10%
- Co-authors
- Julia SalzmanPatrick O. BrownMari OlsenRaymond ChenSteven BarrettGregory J. HoganJosé R. DinnenyYun Bao
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Peter L. Wang
17 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 2.8k
- Molecular Biology 3.5k
- Immunology 247
- Neurology 93
- Developmental Neuroscience 37
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-authorship network
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 | 2023 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 22 | |
| 4 | 2022 | 45 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 106 | |
| 7 | 2017 | 49 | |
| 8 | Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal developmentbreakdown → | 2015 | 458 |
| 9 | 2015 | 369 | |
| 10 | Circular RNA Is Expressed across the Eukaryotic Tree of Lifebreakdown → | 2014 | 604 |
| 11 | 2014 | 147 | |
| 12 | 2013 | 300 | |
| 13 | Cell-Type Specific Features of Circular RNA Expressionbreakdown → | 2013 | 1550 |
| 14 | 2011 | 41 | |
| 15 | 2005 | 11 | |
| 16 | 2001 | 36 | |
| 17 | 2000 | 9 |
About Peter L. Wang
Peter L. Wang is a scholar working on Developmental Neuroscience, Neurology and Molecular Biology, having authored 17 papers that have together received 3.8k indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (2.8k citations), Molecular Biology (3.5k citations) and Immunology (247 citations). Peter L. Wang has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Julia Salzman, Patrick O. Brown, Mari Olsen, Raymond Chen, Steven Barrett, Gregory J. Hogan, José R. Dinneny, Yun Bao, Muh‐Ching Yee and Charles E. Murry. Their work appears in journals such as PLoS Genetics, Genome biology, eLife, Protein Engineering Design and Selection and PLoS Biology.
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.