Eric D. Wieben
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 5
- Genetics 12
- Genomics and Rare Diseases 5
- Co-authors
- Bruce W. Eckloff (17 shared papers)Richard M. Weinshilboum (14 shared papers)Thoru Pederson (3 shared papers)Oreste E. Salavaggione (5 shared papers)Daniel J. Schaid (5 shared papers)Irene Moon (8 shared papers)Linda L. Pelleymounter (5 shared papers)Liewei Wang (5 shared papers)
- Journals
- Mayo Clinic Proceedings (5 papers)Drug Metabolism and Disposition (3 papers)Molecular and Cellular Biology (3 papers)Clinical Cancer Research (2 papers)Blood (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Eric D. Wieben
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 261
- Pharmacology 138
- Genetics 387
- Molecular Biology 949
- Oncology 262
Countries citing papers authored by Eric D. Wieben
This map shows the geographic impact of Eric D. Wieben'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 Eric D. Wieben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Wieben more than expected).
Fields of papers citing papers by Eric D. Wieben
This network shows the impact of papers produced by Eric D. Wieben. 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 Eric D. Wieben. The network helps show where Eric D. Wieben may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Wieben, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 155 | |
| 2 | 2019 | 134 | |
| 3 | 2010 | 97 | |
| 4 | 2013 | 83 | |
| 5 | 2006 | 77 | |
| 6 | 2003 | 75 | |
| 7 | 1993 | 68 | |
| 8 | 1992 | 61 | |
| 9 | 2007 | 58 | |
| 10 | 2014 | 56 | |
| 11 | 2006 | 54 | |
| 12 | 2013 | 50 | |
| 13 | 1984 | 50 | |
| 14 | 1982 | 45 | |
| 15 | 2001 | 41 | |
| 16 | 2013 | 37 | |
| 17 | 2019 | 35 | |
| 18 | 2014 | 33 | |
| 19 | 2002 | 32 | |
| 20 | 1987 | 31 |
About Eric D. Wieben
Eric D. Wieben is a scholar working on Molecular Biology, Genetics, Rheumatology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Epigenetics and DNA Methylation (5 papers), Folate and B Vitamins Research (5 papers), Genomics and Rare Diseases (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (261 citations), Pharmacology (138 citations), Genetics (387 citations), Molecular Biology (949 citations) and Oncology (262 citations). Eric D. Wieben has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Bruce W. Eckloff, Richard M. Weinshilboum, Thoru Pederson, Oreste E. Salavaggione, Daniel J. Schaid, Irene Moon, Linda L. Pelleymounter, Liewei Wang, Araba A. Adjei and Bianca A. Thomae. Their work appears in journals such as Mayo Clinic Proceedings, Drug Metabolism and Disposition, Molecular and Cellular Biology, Clinical Cancer Research and Blood.
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.