Joel Greshock
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Gene expression and cancer classification
Papers in
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- PI3K/AKT/mTOR signaling in cancer 10
- Gene expression and cancer classification 6
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- Cancer Genomics and Diagnostics 11
- Co-authors
- Barbara Weber (11 shared papers)Tara L. Naylor (8 shared papers)George Coukos (9 shared papers)Jia Huang (6 shared papers)Dionyssios Katsaros (6 shared papers)Shun Liang (6 shared papers)Lin Zhang (7 shared papers)Antonis Giannakakis (5 shared papers)
- Journals
- Cancer Research (13 papers)Journal of Clinical Oncology (5 papers)Genes Chromosomes and Cancer (4 papers)Molecular Cancer Therapeutics (4 papers)Genome Research (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Joel Greshock
63 papers receiving 3.9k citations
Joel Greshock's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 1.5k
- Molecular Biology 2.3k
- Oncology 851
- Genetics 591
- Hepatology 129
Countries citing papers authored by Joel Greshock
This map shows the geographic impact of Joel Greshock'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 Joel Greshock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Greshock more than expected).
Fields of papers citing papers by Joel Greshock
This network shows the impact of papers produced by Joel Greshock. 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 Joel Greshock. The network helps show where Joel Greshock may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Greshock, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | microRNAs exhibit high frequency genomic alterations in human cancer Hit paper breakdown → | 2006 | 827 |
| 2 | 2009 | 382 | |
| 3 | 2008 | 291 | |
| 4 | 2009 | 284 | |
| 5 | 2004 | 281 | |
| 6 | 2005 | 165 | |
| 7 | 2013 | 134 | |
| 8 | 2006 | 133 | |
| 9 | 2005 | 130 | |
| 10 | 2010 | 100 | |
| 11 | 2007 | 100 | |
| 12 | 2011 | 97 | |
| 13 | 2011 | 91 | |
| 14 | 2003 | 88 | |
| 15 | 2010 | 75 | |
| 16 | 2005 | 72 | |
| 17 | 2007 | 56 | |
| 18 | 2007 | 54 | |
| 19 | 2012 | 48 | |
| 20 | 2011 | 44 |
About Joel Greshock
Joel Greshock is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Genomic variations and chromosomal abnormalities (10 papers), Immunotherapy and Immune Responses (6 papers), Gene expression and cancer classification (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.3k citations), Oncology (851 citations), Genetics (591 citations) and Hepatology (129 citations). Joel Greshock has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Barbara Weber, Tara L. Naylor, George Coukos, Jia Huang, Dionyssios Katsaros, Shun Liang, Lin Zhang, Antonis Giannakakis, Ann O’Brien-Jenkins and Nuo Yang. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Genes Chromosomes and Cancer, Molecular Cancer Therapeutics and Genome Research.
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.