Dan E. Webster
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 2
-
- Cancer-related molecular mechanisms research 7
- Co-authors
- Paul A. Khavari (12 shared papers)Kun Qu (7 shared papers)Markus Kretz (7 shared papers)Ross J. Flockhart (5 shared papers)Zurab Siprashvili (6 shared papers)Howard Y. Chang (5 shared papers)Grace X. Y. Zheng (3 shared papers)Danielle Johnston (4 shared papers)
- Journals
- Developmental Cell (2 papers)Blood (2 papers)Genome Research (2 papers)Seminars in Cutaneous Medicine and Surgery (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Dan E. Webster
23 papers receiving 2.2k citations
Dan E. Webster's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 1.3k
- Molecular Biology 1.5k
- Endocrinology 101
- Dermatology 124
- Immunology 145
Countries citing papers authored by Dan E. Webster
This map shows the geographic impact of Dan E. Webster'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 Dan E. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan E. Webster more than expected).
Fields of papers citing papers by Dan E. Webster
This network shows the impact of papers produced by Dan E. Webster. 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 Dan E. Webster. The network helps show where Dan E. Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan E. Webster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Control of somatic tissue differentiation by the long non-coding RNA TINCR Hit paper breakdown → | 2012 | 749 |
| 2 | 2012 | 368 | |
| 3 | 2012 | 235 | |
| 4 | 2012 | 181 | |
| 5 | 2015 | 146 | |
| 6 | 2015 | 140 | |
| 7 | 2014 | 80 | |
| 8 | 2020 | 74 | |
| 9 | 2012 | 64 | |
| 10 | 2017 | 48 | |
| 11 | 2014 | 44 | |
| 12 | 2012 | 38 | |
| 13 | 2012 | 31 | |
| 14 | 2018 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 4 | |
| 18 | 2024 | 4 | |
| 19 | Fitbit "Bring Your Own Device" data in the All of Us Research Program. | 2020 | 2 |
| 20 | 2020 | 2 |
About Dan E. Webster
Dan E. Webster is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Endocrinology, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (5 papers), Plant and Fungal Interactions Research (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Cell Image Analysis Techniques (2 papers), RNA modifications and cancer (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.5k citations), Endocrinology (101 citations), Dermatology (124 citations) and Immunology (145 citations). Dan E. Webster has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Paul A. Khavari, Kun Qu, Markus Kretz, Ross J. Flockhart, Zurab Siprashvili, Howard Y. Chang, Grace X. Y. Zheng, Danielle Johnston, Carolyn Lee and Ashley Zehnder. Their work appears in journals such as Developmental Cell, Blood, Genome Research, Seminars in Cutaneous Medicine and Surgery and BMC Genomics.
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.