Greg Dyson

742 total citations
36 papers, 561 citations indexed

About

Greg Dyson is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Greg Dyson has authored 36 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Greg Dyson's work include Genetic Associations and Epidemiology (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Genomics and Diagnostics (4 papers). Greg Dyson is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Genomics and Diagnostics (4 papers). Greg Dyson collaborates with scholars based in United States, Denmark and Qatar. Greg Dyson's co-authors include Aliccia Bollig‐Fischer, Cristina Mitrea, Isaac J. Powell, Bin Bao, Ann G. Schwartz, Mehsati Herawi, Susan Land, Julie J. Ruterbusch, Steve Lenk and Craig N. Giroux and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Greg Dyson

34 papers receiving 550 citations

Peers

Greg Dyson
Amy Prawira Canada
Ran Xie United States
Giacomo Pelizzari Italy
Kristina Lamberg Sweden
Guoping Ren China
V. Papadimitrakopoulou United States
Chuanben Chen China
Evan C. Osmundson United States
Julio A. Peguero United States
You-Hong Fan United States
Amy Prawira Canada
Greg Dyson
Citations per year, relative to Greg Dyson Greg Dyson (= 1×) peers Amy Prawira

Countries citing papers authored by Greg Dyson

Since Specialization
Citations

This map shows the geographic impact of Greg Dyson'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 Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Dyson more than expected).

Fields of papers citing papers by Greg Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Dyson. 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 Dyson. The network helps show where Greg Dyson may publish in the future.

Co-authorship network of co-authors of Greg Dyson

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Dyson. A scholar is included among the top collaborators of Greg Dyson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Greg Dyson. Greg Dyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Çağlayan, Ahmet B., Özge Şensoy, Serdar Durdağı, et al.. (2024). Dual activity of Minnelide chemosensitize basal/triple negative breast cancer stem cells and reprograms immunosuppressive tumor microenvironment. Scientific Reports. 14(1). 22487–22487. 4 indexed citations
2.
Polin, Lisa, et al.. (2023). Hyperglycemia and O-GlcNAc transferase activity drive a cancer stem cell pathway in triple-negative breast cancer. Cancer Cell International. 23(1). 102–102. 8 indexed citations
3.
Nguyen, Paul, Donovan Watza, Aditi Sharma, et al.. (2021). High-flow nasal cannula therapy in a predominantly African American population with COVID-19 associated acute respiratory failure. BMJ Open Respiratory Research. 8(1). e000875–e000875. 2 indexed citations
4.
Elshaikh, Mohamed A., Daniel Schultz, Feras Zaiem, et al.. (2021). Impact of positive cytology in uterine serous carcinoma: A reassessment. Gynecologic Oncology Reports. 37. 100830–100830. 6 indexed citations
5.
Bao, Bin, et al.. (2020). Role of TET1 and 5hmC in an Obesity-Linked Pathway Driving Cancer Stem Cells in Triple-Negative Breast Cancer. Molecular Cancer Research. 18(12). 1803–1814. 31 indexed citations
6.
Lusk, Christine M., Donovan Watza, Greg Dyson, et al.. (2019). Profiling the Mutational Landscape in Known Driver Genes and Novel Genes in African American Non–Small Cell Lung Cancer Patients. Clinical Cancer Research. 25(14). 4300–4308. 18 indexed citations
7.
Mitrea, Cristina, Bin Bao, Ramzi M. Mohammad, et al.. (2019). Obesity‐induced MBD2_v2 expression promotes tumor‐initiating triple‐negative breast cancer stem cells. Molecular Oncology. 13(4). 894–908. 25 indexed citations
8.
Gibson, Heather M., Greg Dyson, Claire E. McCarthy, et al.. (2018). IFNγ PET Imaging as a Predictive Tool for Monitoring Response to Tumor Immunotherapy. Cancer Research. 78(19). 5706–5717. 73 indexed citations
9.
Bao, Bin, Cristina Mitrea, Luca Marchetti, et al.. (2017). Treating triple negative breast cancer cells with erlotinib plus a select antioxidant overcomes drug resistance by targeting cancer cell heterogeneity. Scientific Reports. 7(1). 44125–44125. 50 indexed citations
10.
Lusk, Christine M., Angela S. Wenzlaff, Greg Dyson, et al.. (2015). Whole-exome sequencing reveals genetic variability among lung cancer cases subphenotyped for emphysema. Carcinogenesis. 37(2). 139–144. 4 indexed citations
11.
Frikke‐Schmidt, Ruth, Anne Tybjærg‐Hansen, Greg Dyson, et al.. (2014). Subgroups at high risk for ischaemic heart disease:identification and validation in 67 000 individuals from the general population. International Journal of Epidemiology. 44(1). 117–128. 3 indexed citations
12.
Lusk, Christine M., Greg Dyson, Andrew G. Clark, et al.. (2014). Validated context-dependent associations of coronary heart disease risk with genotype variation in the chromosome 9p21 region: the Atherosclerosis Risk in Communities study. Human Genetics. 133(9). 1105–1116. 13 indexed citations
13.
Powell, Isaac J., Greg Dyson, Susan Land, et al.. (2013). Genes Associated with Prostate Cancer Are Differentially Expressed in African American and European American Men. Cancer Epidemiology Biomarkers & Prevention. 22(5). 891–897. 127 indexed citations
14.
Salem, Mohamed E., Greg Dyson, Chadi Saad, et al.. (2013). Characteristics of colorectal cancer in patients younger than 40 years compared to older patients.. Journal of Clinical Oncology. 31(4_suppl). 371–371. 1 indexed citations
15.
Christensen, Michael, Greg Dyson, Dev Kamdar, et al.. (2012). Up‐front neck dissection followed by concurrent chemoradiation in patients with regionally advanced head and neck cancer. Head & Neck. 34(12). 1798–1803. 19 indexed citations
16.
Sethi, Seema, Dejuan Kong, Wael Sakr, et al.. (2012). Abstract 4599: Comprehensive molecular oncogenomic profiling & miRNA analysis of prostate cancer. Cancer Research. 72(8_Supplement). 4599–4599. 1 indexed citations
17.
Yoo, George H., Ho-Sheng Lin, John R. Jacobs, et al.. (2011). Concurrent Chemoradiotherapy Improves Survival in Patients With Hypopharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 82(4). 1515–1521. 16 indexed citations
18.
19.
Dyson, Greg, Ruth Frikke‐Schmidt, Børge G. Nordestgaard, Anne Tybjærg‐Hansen, & Charles F. Sing. (2008). Modifications to the Patient Rule‐Induction Method that utilize non‐additive combinations of genetic and environmental effects to define partitions that predict ischemic heart disease. Genetic Epidemiology. 33(4). 317–324. 8 indexed citations
20.
Dyson, Greg, Ruth Frikke‐Schmidt, Børge G. Nordestgaard, Anne Tybjærg‐Hansen, & Charles F. Sing. (2007). An application of the patient rule‐induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease. Genetic Epidemiology. 31(6). 515–527. 12 indexed citations

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.

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