Greg Coffey
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Immunology top 10%
- Mast cells and histamine
- Immunodeficiency and Autoimmune Disorders
Papers in
- Genetics 27
- Chronic Lymphocytic Leukemia Research 27
- Immunology 17
- Mast cells and histamine 5
- Immune Cell Function and Interaction 4
- Co-authors
- Uma Sinha (12 shared papers)Anjali Pandey (23 shared papers)Y. Lynn Wang (6 shared papers)Yvonne Pak (5 shared papers)Dale C. Baker (6 shared papers)Stanley J. Hollenbach (6 shared papers)Francis DeGuzman (5 shared papers)Pamela B. Conley (10 shared papers)
- Journals
- Blood (14 papers)Journal of Clinical Oncology (5 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)Clinical Cancer Research (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Greg Coffey
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Genetics 331
- Immunology 361
- Pathology and Forensic Medicine 230
- Hematology 123
- Oncology 200
Countries citing papers authored by Greg Coffey
This map shows the geographic impact of Greg Coffey'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 Coffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Coffey more than expected).
Fields of papers citing papers by Greg Coffey
This network shows the impact of papers produced by Greg Coffey. 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 Coffey. The network helps show where Greg Coffey may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Coffey, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 114 | |
| 2 | 2004 | 98 | |
| 3 | 2011 | 92 | |
| 4 | 2011 | 80 | |
| 5 | 2014 | 73 | |
| 6 | 2016 | 57 | |
| 7 | 2008 | 49 | |
| 8 | 2015 | 45 | |
| 9 | 2009 | 44 | |
| 10 | 1999 | 43 | |
| 11 | 2017 | 43 | |
| 12 | 2004 | 41 | |
| 13 | 2012 | 40 | |
| 14 | 2018 | 30 | |
| 15 | 2000 | 30 | |
| 16 | 2005 | 26 | |
| 17 | 1999 | 21 | |
| 18 | 2016 | 15 | |
| 19 | 2013 | 12 | |
| 20 | 2018 | 6 |
About Greg Coffey
Greg Coffey is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (27 papers), Lymphoma Diagnosis and Treatment (16 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Cutaneous lymphoproliferative disorders research (6 papers), Mast cells and histamine (5 papers), Immune Cell Function and Interaction (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (331 citations), Immunology (361 citations), Pathology and Forensic Medicine (230 citations), Hematology (123 citations) and Oncology (200 citations). Greg Coffey has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Uma Sinha, Anjali Pandey, Y. Lynn Wang, Yvonne Pak, Dale C. Baker, Stanley J. Hollenbach, Francis DeGuzman, Pamela B. Conley, Pin Lu and Janet L. Neisewander. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Pharmacology and Experimental Therapeutics, Clinical Cancer Research and Nucleic Acids 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.