Richard A. Young
- Molecular Biology top 1%
- Fungal and yeast genetics research 5
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 4
- Machine Learning in Bioinformatics 1
- Pluripotent Stem Cells Research 1
- Cancer Research top 2%
- Immunology top 5%
- Genetics top 5%
- Hematology top 5%
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- Odor and Emission Control Technologies 1
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- Advanced Chemical Sensor Technologies 1
- Co-authors
- Denes HniszBrian J. AbrahamTong Ihn LeeViolaine Saint‐AndréCharles Y. LinWarren A. WhyteHeather A. HokePeter B. Rahl
- Partner nations
- United StatesCanada
In The Last Decade
Richard A. Young
11 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 5.5k
- Cancer Research 792
- Immunology 614
- Genetics 611
- Hematology 238
Countries citing papers authored by Richard A. Young
This map shows the geographic impact of Richard A. Young'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 Richard A. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Young more than expected).
Fields of papers citing papers by Richard A. Young
This network shows the impact of papers produced by Richard A. Young. 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 Richard A. Young. The network helps show where Richard A. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard A. Young, 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 | Protein codes promote selective subcellular compartmentalizationbreakdown → | 2025 | 25 |
| 2 | 2014 | 48 | |
| 3 | Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genesbreakdown → | 2013 | 2677 |
| 4 | Super-Enhancers in the Control of Cell Identity and Diseasebreakdown → | 2013 | 2372 |
| 5 | 2001 | 257 | |
| 6 | 1998 | 172 | |
| 7 | An RNA polymerase II holoenzyme responsive to activatorsbreakdown → | 1994 | 529 |
| 8 | 1993 | 80 | |
| 9 | 1989 | 22 | |
| 10 | Air pollution control and design handbook | 1977 | 14 |
| 11 | Industrial odor technology assessment | 1975 | 15 |
About Richard A. Young
Richard A. Young is a scholar working on Process Chemistry and Technology, Developmental Neuroscience and Molecular Biology, having authored 11 papers that have together received 6.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), Odor and Emission Control Technologies (1 paper), Advanced Chemical Sensor Technologies (1 paper), Machine Learning in Bioinformatics (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (5.5k citations), Cancer Research (792 citations) and Immunology (614 citations). Richard A. Young has collaborated with scholars based in United States and Canada. Frequent co-authors include Denes Hnisz, Brian J. Abraham, Tong Ihn Lee, Violaine Saint‐André, Charles Y. Lin, Warren A. Whyte, Heather A. Hoke, Peter B. Rahl, Michael H. Kagey and David A. Orlando. Their work appears in journals such as Cell, Yeast, Genes & Development, Science and Stem Cell Reports.
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.