Daniel S. Pearson
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- Renal Transplantation Outcomes and Treatments 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Kasey C. VickersPraveen SethupathyFrancis S. CollinsGeorge Q. DaleyHan WuMichael G. LevinDavid O. Osei-HwediehBassem M. Shoucri
- Journals
- Cell Metabolism (2 papers)Cell Reports (2 papers)Scientific Reports (1 paper)Nature Cell Biology (1 paper)Journal of Inherited Metabolic Disease (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel S. Pearson
14 papers receiving 914 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 345
- Molecular Biology 623
- Neurology 126
- Cell Biology 135
- Physiology 181
Countries citing papers authored by Daniel S. Pearson
This map shows the geographic impact of Daniel S. Pearson'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 Daniel S. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Pearson more than expected).
Fields of papers citing papers by Daniel S. Pearson
This network shows the impact of papers produced by Daniel S. Pearson. 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 Daniel S. Pearson. The network helps show where Daniel S. Pearson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Pearson, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 90 | |
| 8 | 2016 | 138 | |
| 9 | 2016 | 55 | |
| 10 | 2016 | 55 | |
| 11 | 2015 | 67 | |
| 12 | 2012 | 192 | |
| 13 | 2012 | 2 | |
| 14 | 2010 | 136 | |
| 15 | 2010 | 161 | |
| 16 | 2010 | 3 |
About Daniel S. Pearson
Daniel S. Pearson is a scholar working on Transplantation, Cancer Research, Hematology, Molecular Biology and Neurology, having authored 16 papers that have together received 920 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Pluripotent Stem Cells Research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cancer Research (345 citations), Molecular Biology (623 citations), Neurology (126 citations), Cell Biology (135 citations) and Physiology (181 citations). Daniel S. Pearson has collaborated with scholars based in United States and Germany. Frequent co-authors include Kasey C. Vickers, Praveen Sethupathy, Francis S. Collins, George Q. Daley, Han Wu, Michael G. Levin, David O. Osei-Hwedieh, Bassem M. Shoucri, Alan T. Remaley and Gilberto Bultron. Their work appears in journals such as Cell Metabolism, Cell Reports, Scientific Reports, Nature Cell Biology and Journal of Inherited Metabolic Disease.
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.