Jeffrey P. Gregg

4.8k total citations
74 papers, 2.8k citations indexed

About

Jeffrey P. Gregg is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jeffrey P. Gregg has authored 74 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Jeffrey P. Gregg's work include Cancer Genomics and Diagnostics (11 papers), Lung Cancer Treatments and Mutations (9 papers) and Genetic factors in colorectal cancer (5 papers). Jeffrey P. Gregg is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Lung Cancer Treatments and Mutations (9 papers) and Genetic factors in colorectal cancer (5 papers). Jeffrey P. Gregg collaborates with scholars based in United States, Italy and Canada. Jeffrey P. Gregg's co-authors include Alexander D. Borowsky, Robert D. Cardiff, Ryan R. Davis, Lawrence J.T. Young, Clifford G. Tepper, Frank R. Sharp, Ruria Namba, Erik T. McGoldrick, Ken Y. Yoneda and Tianhong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Jeffrey P. Gregg

73 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey P. Gregg United States 34 1.3k 829 614 536 477 74 2.8k
Edward Kim United States 27 1.6k 1.2× 536 0.6× 391 0.6× 685 1.3× 212 0.4× 47 2.5k
Sofia Khan Finland 20 1.3k 1.0× 408 0.5× 583 0.9× 665 1.2× 322 0.7× 56 2.4k
Pekka Ellonen Finland 29 1.3k 1.0× 470 0.6× 802 1.3× 430 0.8× 265 0.6× 70 3.1k
Jean‐Baptiste Cazier United Kingdom 24 1.1k 0.9× 338 0.4× 532 0.9× 560 1.0× 166 0.3× 76 2.4k
Francesca Spinella Italy 40 2.4k 1.8× 775 0.9× 582 0.9× 619 1.2× 381 0.8× 94 4.8k
Dani Bercovich Israel 28 1.2k 0.9× 498 0.6× 696 1.1× 259 0.5× 213 0.4× 74 2.9k
Toshimitsu Suzuki Japan 36 1.7k 1.3× 667 0.8× 496 0.8× 657 1.2× 659 1.4× 201 4.3k
Mikhail G. Dozmorov United States 36 2.2k 1.6× 567 0.7× 494 0.8× 708 1.3× 363 0.8× 153 4.0k
Jianmin Wang United States 34 1.9k 1.4× 631 0.8× 248 0.4× 630 1.2× 492 1.0× 127 3.3k
Paola Bruni Italy 41 3.6k 2.8× 726 0.9× 322 0.5× 368 0.7× 190 0.4× 168 5.1k

Countries citing papers authored by Jeffrey P. Gregg

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey P. Gregg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey P. 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 Jeffrey P. Gregg. The network helps show where Jeffrey P. Gregg may publish in the future.

Co-authorship network of co-authors of Jeffrey P. Gregg

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Gregg. A scholar is included among the top collaborators of Jeffrey P. Gregg 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 Jeffrey P. Gregg. Jeffrey P. Gregg 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
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Subramanian, Janakiraman, Natasha B. Leighl, Yoon‐La Choi, et al.. (2022). Usage of epidermal growth factor mutation testing and impact on treatment patterns in non-small cell lung cancer: An international observational study. Lung Cancer. 175. 47–56. 1 indexed citations
3.
Fransen, Signe, Chuanbo Xu, Jeffrey P. Gregg, et al.. (2021). S346 Enrollment Rate of African Americans in a Colon Cancer Screening Trial at a Historically Black College and University Is Similar to Other Patient Populations. The American Journal of Gastroenterology. 116(1). S149–S150. 1 indexed citations
4.
Goldberg, Michael E., Meagan Montesion, Lauren Young, et al.. (2018). Multiple configurations of EGFR exon 20 resistance mutations after first- and third-generation EGFR TKI treatment affect treatment options in NSCLC. PLoS ONE. 13(11). e0208097–e0208097. 15 indexed citations
5.
Tepper, Clifford G., Julie Dang, Susan L. Stewart, et al.. (2018). High frequency of the PNPLA3 rs738409 [G] single‐nucleotide polymorphism in Hmong individuals as a potential basis for a predisposition to chronic liver disease. Cancer. 124(S7). 1583–1589. 19 indexed citations
6.
Chen, Mingyi, et al.. (2012). Molecular pathology of pancreatic neuroendocrine tumors.. PubMed. 3(3). 182–8. 28 indexed citations
7.
Dawson, Kevin, Ling Zhao, Yuriko Adkins, et al.. (2011). Modulation of blood cell gene expression by DHA supplementation in hypertriglyceridemic men. The Journal of Nutritional Biochemistry. 23(6). 616–621. 21 indexed citations
8.
Lavenex, Pierre, Pierre Lavenex, Steven G. Sugden, et al.. (2009). Developmental regulation of gene expression and astrocytic processes may explain selective hippocampal vulnerability. Hippocampus. 21(2). 142–149. 26 indexed citations
9.
Mangravite, Lara M., Kevin Dawson, Ryan R. Davis, Jeffrey P. Gregg, & Ronald M. Krauss. (2007). Fatty acid desaturase regulation in adipose tissue by dietary composition is independent of weight loss and is correlated with the plasma triacylglycerol response. American Journal of Clinical Nutrition. 86(3). 759–767. 38 indexed citations
10.
Gregg, Jeffrey P., Lisa Lit, Irva Hertz‐Picciotto, et al.. (2007). Gene expression changes in children with autism. Genomics. 91(1). 22–29. 137 indexed citations
11.
Yen, Lily, Zhongwei Cao, Xiuli Wu, et al.. (2006). Loss of Nrdp1 Enhances ErbB2/ErbB3–Dependent Breast Tumor Cell Growth. Cancer Research. 66(23). 11279–11286. 67 indexed citations
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Namba, Ruria, Jeannie E. Maglione, Ryan R. Davis, et al.. (2006). Heterogeneity of mammary lesions represent molecular differences. BMC Cancer. 6(1). 275–275. 26 indexed citations
14.
Rasooly, Reuven, Gertrud U. Schuster, Jeffrey P. Gregg, et al.. (2005). Retinoid X Receptor Agonists Increase Bcl2a1 Expression and Decrease Apoptosis of Naive T Lymphocytes. The Journal of Immunology. 175(12). 7916–7929. 45 indexed citations
15.
Wurz, Gregory T., et al.. (2005). Ospemifene inhibits the growth of dimethylbenzanthracene-induced mammary tumors in Sencar mice. The Journal of Steroid Biochemistry and Molecular Biology. 97(3). 230–240. 44 indexed citations
16.
Namba, Ruria, Jeannie E. Maglione, Lawrence J.T. Young, et al.. (2004). Molecular Characterization of the Transition to Malignancy in a Genetically Engineered Mouse-Based Model of Ductal Carcinoma In situ. Molecular Cancer Research. 2(8). 453–463. 42 indexed citations
17.
Cardiff, Robert D., Andrea Rosner, Michael Hogarth, et al.. (2004). Validation: The New Challenge for Pathology. Toxicologic Pathology. 32(1_suppl). 31–39. 26 indexed citations
18.
Yang, Qinghong, et al.. (2003). Allele-Specific Holliday Junction Formation: A New Mechanism of Allelic Discrimination for SNP Scoring. Genome Research. 13(7). 1754–1764. 123 indexed citations
19.
Gregg, Jeffrey P. & Wayne W. Grody. (1997). Diagnostic Molecular Genetics: Current Applications and Future Technologies. Pediatric Annals. 26(9). 553–561. 1 indexed citations
20.
Fonkalsrud, Eric W., Tansu Salman, Weihong Guo, & Jeffrey P. Gregg. (1994). Repair of pectus deformities with sternal support. Journal of Thoracic and Cardiovascular Surgery. 107(1). 37–42. 37 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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