Jonathan S. Wiest
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
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- NF-κB Signaling Pathways 4
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- RNA modifications and cancer 12
- RNA and protein synthesis mechanisms 4
- Co-authors
- Kathleen DeCicco-SkinnerM W AndersonMarguerite A. ButlerDouglas A. BellFred F. KadlubarLeonard H. BrubakerGeorge W. LucierJack A. Taylor
- Journals
- Journal of Cellular Biochemistry (4 papers)Lung Cancer (3 papers)Oncogene (3 papers)Genes Chromosomes and Cancer (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Jonathan S. Wiest
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 166
- Cancer Research 351
- Oncology 389
- Molecular Biology 851
- Cell Biology 106
- Pulmonary and Respiratory Medicine 202
Countries citing papers authored by Jonathan S. Wiest
This map shows the geographic impact of Jonathan S. Wiest'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 Jonathan S. Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Wiest more than expected).
Fields of papers citing papers by Jonathan S. Wiest
This network shows the impact of papers produced by Jonathan S. Wiest. 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 Jonathan S. Wiest. The network helps show where Jonathan S. Wiest may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan S. Wiest, 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 | 2017 | 6 | |
| 2 | 2017 | 25 | |
| 3 | 2014 | 283 | |
| 4 | 2013 | 19 | |
| 5 | 2013 | 12 | |
| 6 | 2013 | 17 | |
| 7 | 2010 | 37 | |
| 8 | 2010 | 31 | |
| 9 | 2004 | 23 | |
| 10 | 2003 | 45 | |
| 11 | 2001 | 12 | |
| 12 | 2001 | 22 | |
| 13 | 2000 | 60 | |
| 14 | 2000 | 5 | |
| 15 | 2000 | 44 | |
| 16 | 1999 | 97 | |
| 17 | 1999 | 14 | |
| 18 | 1997 | 0 | |
| 19 | 1993 | 259 | |
| 20 | 1990 | 9 |
About Jonathan S. Wiest
Jonathan S. Wiest is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), Cancer-related Molecular Pathways (8 papers), Genetic factors in colorectal cancer (5 papers), Health and Medical Research Impacts (5 papers), NF-κB Signaling Pathways (4 papers), RNA and protein synthesis mechanisms (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Advances in Oncology and Radiotherapy (3 papers). The work is most often cited by research in Cancer Research (351 citations), Oncology (389 citations), Molecular Biology (851 citations), Cell Biology (106 citations) and Pulmonary and Respiratory Medicine (202 citations). Jonathan S. Wiest has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Kathleen DeCicco-Skinner, M W Anderson, Marguerite A. Butler, Douglas A. Bell, Fred F. Kadlubar, Leonard H. Brubaker, George W. Lucier, Jack A. Taylor, Elizabeth Stephens and Tracy Tabib. Their work appears in journals such as Journal of Cellular Biochemistry, Lung Cancer, Oncogene, Genes Chromosomes and Cancer and PLoS ONE.
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.