Greg Bloom
Impact in
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer
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- Colorectal Cancer Treatments and Studies
- Cancer Diagnosis and Treatment
Papers in
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- Molecular Biology Techniques and Applications 4
- Gene expression and cancer classification 2
- RNA Research and Splicing 1
- Histone Deacetylase Inhibitors Research 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Timothy J. Yeatman (3 shared papers)John Quackenbush (2 shared papers)Ka Yin Kwong (2 shared papers)David Boulware (2 shared papers)Ivana V. Yang (2 shared papers)Domenico Coppola (2 shared papers)Steven A. Eschrich (2 shared papers)Lauri A. Aaltonen (1 shared paper)
- Journals
- Cancer Research (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Greg Bloom
6 papers receiving 441 citations
Peers
Comparison fields: 5 of 53
- Pathology and Forensic Medicine 151
- Oncology 225
- Cancer Research 103
- Oral Surgery 39
- Molecular Biology 211
Countries citing papers authored by Greg Bloom
This map shows the geographic impact of Greg Bloom'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 Greg Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Bloom more than expected).
Fields of papers citing papers by Greg Bloom
This network shows the impact of papers produced by Greg Bloom. 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 Greg Bloom. The network helps show where Greg Bloom may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Bloom, 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 | 2005 | 271 | |
| 2 | 2004 | 147 | |
| 3 | 2005 | 27 | |
| 4 | 1978 | 7 | |
| 5 | Novel Stat3-regulated genes in prostate cancer identified by microarray analysis. | 2004 | 1 |
| 6 | 2001 | 1 |
About Greg Bloom
Greg Bloom is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 6 papers that have together received 454 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), RNA Research and Splicing (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Genetic factors in colorectal cancer (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (151 citations), Oncology (225 citations), Cancer Research (103 citations), Oral Surgery (39 citations) and Molecular Biology (211 citations). Greg Bloom has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Timothy J. Yeatman, John Quackenbush, Ka Yin Kwong, David Boulware, Ivana V. Yang, Domenico Coppola, Steven A. Eschrich, Lauri A. Aaltonen, Torben F. Ørntoft and Alan Cantor. Their work appears in journals such as Cancer Research, International Journal of Radiation Oncology*Biology*Physics, Nature Genetics, Journal of Clinical Oncology and American Journal Of Pathology.
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.