Jeff Gregg
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
-
- Gene expression and cancer classification 2
- Hedgehog Signaling Pathway Studies 1
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- Wayne W. Grody (1 shared paper)Frank R. Sharp (1 shared paper)Judy Van de Water (1 shared paper)Paul Ashwood (1 shared paper)Isaac N. Pessah (2 shared papers)Robin Hansen (2 shared papers)Lisa Lit (1 shared paper)Amanda Enstrom (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cancers (1 paper)Brain Behavior and Immunity (1 paper)The Journal of Immunology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jeff Gregg
14 papers receiving 689 citations
Peers
Comparison fields: 5 of 105
- Internal Medicine 51
- Cognitive Neuroscience 148
- Hematology 77
- Genetics 135
- Biological Psychiatry 12
Countries citing papers authored by Jeff Gregg
This map shows the geographic impact of Jeff Gregg'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 Jeff Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Gregg more than expected).
Fields of papers citing papers by Jeff Gregg
This network shows the impact of papers produced by Jeff Gregg. 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 Jeff Gregg. The network helps show where Jeff Gregg may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Gregg, 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 | 2008 | 194 | |
| 2 | Identification of a human glioma-associated growth factor gene, granulin, using differential immuno-absorption. | 2000 | 110 |
| 3 | 1997 | 87 | |
| 4 | 2004 | 56 | |
| 5 | 2003 | 56 | |
| 6 | 2013 | 54 | |
| 7 | 2007 | 43 | |
| 8 | 1995 | 32 | |
| 9 | 2011 | 22 | |
| 10 | 2005 | 22 | |
| 11 | 2007 | 19 | |
| 12 | 2019 | 13 | |
| 13 | 2007 | 6 | |
| 14 | 2018 | 1 | |
| 15 | 2009 | 0 |
About Jeff Gregg
Jeff Gregg is a scholar working on Molecular Biology, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 15 papers that have together received 715 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Mathematics Education and Teaching Techniques (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Internal Medicine (51 citations), Cognitive Neuroscience (148 citations), Hematology (77 citations), Genetics (135 citations) and Biological Psychiatry (12 citations). Jeff Gregg has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Wayne W. Grody, Frank R. Sharp, Judy Van de Water, Paul Ashwood, Isaac N. Pessah, Robin Hansen, Lisa Lit, Amanda Enstrom, Irva Hertz‐Picciotto and Charity E. Onore. Their work appears in journals such as Clinical Cancer Research, Cancers, Brain Behavior and Immunity, The Journal of Immunology and Bioinformatics.
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.