Gerald V. Denis

15.4k total citations · 1 hit paper
86 papers, 4.3k citations indexed

About

Gerald V. Denis is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Gerald V. Denis has authored 86 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 19 papers in Oncology and 12 papers in Physiology. Recurrent topics in Gerald V. Denis's work include Protein Degradation and Inhibitors (31 papers), Ubiquitin and proteasome pathways (17 papers) and Histone Deacetylase Inhibitors Research (12 papers). Gerald V. Denis is often cited by papers focused on Protein Degradation and Inhibitors (31 papers), Ubiquitin and proteasome pathways (17 papers) and Histone Deacetylase Inhibitors Research (12 papers). Gerald V. Denis collaborates with scholars based in United States, Belgium and France. Gerald V. Denis's co-authors include Anna C. Belkina, Barbara S. Nikolajczyk, Guillaume P. Andrieu, Douglas V. Faller, Martin S. Obin, Katherine J. Strissel, Anupama Sinha, Ning Guo, Madhumita Jagannathan‐Bogdan and Cyrus Vaziri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Gerald V. Denis

82 papers receiving 4.2k citations

Hit Papers

BET domain co-regulators in obesity, inflammation and cancer 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald V. Denis United States 33 2.9k 799 697 614 563 86 4.3k
Sara Teresinha Olalla Saad Brazil 34 1.7k 0.6× 1.6k 1.9× 419 0.6× 302 0.5× 572 1.0× 298 4.5k
Marianne T. Sweetser United States 31 2.1k 0.7× 399 0.5× 1.2k 1.7× 508 0.8× 2.2k 3.9× 76 6.2k
Chia‐Ling Wu Taiwan 25 1.8k 0.6× 523 0.7× 882 1.3× 400 0.7× 452 0.8× 68 3.5k
Andrea Rinaldi Italy 39 1.8k 0.6× 596 0.7× 807 1.2× 267 0.4× 1.5k 2.6× 190 5.1k
Raffaele De Palma Italy 38 1.3k 0.4× 294 0.4× 1.1k 1.5× 498 0.8× 2.2k 3.9× 118 4.9k
Janice Russell United States 39 1.4k 0.5× 689 0.9× 312 0.4× 518 0.8× 903 1.6× 109 4.2k
Gunnar Cario Germany 31 1.4k 0.5× 1.3k 1.7× 753 1.1× 369 0.6× 632 1.1× 126 4.3k
Ulf Wagner Germany 34 947 0.3× 358 0.4× 469 0.7× 440 0.7× 1.9k 3.4× 95 4.0k
Eric Smith United States 26 1.8k 0.6× 123 0.2× 1.2k 1.7× 486 0.8× 975 1.7× 46 3.9k
Xuebin Qin United States 33 1.1k 0.4× 252 0.3× 225 0.3× 413 0.7× 1.4k 2.4× 93 3.6k

Countries citing papers authored by Gerald V. Denis

Since Specialization
Citations

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

Fields of papers citing papers by Gerald V. Denis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald V. Denis. 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 Gerald V. Denis. The network helps show where Gerald V. Denis may publish in the future.

Co-authorship network of co-authors of Gerald V. Denis

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald V. Denis. A scholar is included among the top collaborators of Gerald V. Denis 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 Gerald V. Denis. Gerald V. Denis 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.
2.
Blum, Benjamin C., Weiwei Lin, Jacob Porter, et al.. (2024). Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming. PLoS Biology. 22(12). e3002943–e3002943. 4 indexed citations
3.
Sergesketter, Amanda R., et al.. (2022). The Association Between Metabolic Derangement and Wound Complications in Elective Plastic Surgery. Journal of Surgical Research. 278. 39–48. 12 indexed citations
4.
Qiu, Yuhan, et al.. (2022). The crosstalk within the breast tumor microenvironment in type II diabetes: Implications for cancer disparities. Frontiers in Endocrinology. 13. 1044670–1044670. 9 indexed citations
5.
Shafran, Jordan, Guillaume P. Andrieu, Balázs Győrffy, & Gerald V. Denis. (2019). BRD4 Regulates Metastatic Potential of Castration-Resistant Prostate Cancer through AHNAK. Molecular Cancer Research. 17(8). 1627–1638. 33 indexed citations
6.
Andrieu, Guillaume P. & Gerald V. Denis. (2018). BET Proteins Exhibit Transcriptional and Functional Opposition in the Epithelial-to-Mesenchymal Transition. Molecular Cancer Research. 16(4). 580–586. 47 indexed citations
7.
Andrieu, Guillaume P., Anna H. Tran, Katherine J. Strissel, & Gerald V. Denis. (2016). BRD4 Regulates Breast Cancer Dissemination through Jagged1/Notch1 Signaling. Cancer Research. 76(22). 6555–6567. 108 indexed citations
8.
Charlot, Marjory, Nelsy Castro‐Webb, Traci N. Bethea, et al.. (2016). Diabetes and breast cancer mortality in Black women. Cancer Causes & Control. 28(1). 61–67. 33 indexed citations
9.
Moore, Lynn L., et al.. (2014). Metabolic Health Reduces Risk of Obesity-Related Cancer in Framingham Study Adults. Cancer Epidemiology Biomarkers & Prevention. 23(10). 2057–2065. 79 indexed citations
10.
Goodson, J. Max, Alpdoğan Kantarcı, Mor-Li Hartman, et al.. (2014). Metabolic Disease Risk in Children by Salivary Biomarker Analysis. PLoS ONE. 9(6). e98799–e98799. 89 indexed citations
11.
Denis, Gerald V. & James A. Hamilton. (2013). Healthy obese persons. Current Opinion in Endocrinology Diabetes and Obesity. 20(5). 369–376. 16 indexed citations
12.
Archin, Nancie M., Anna C. Belkina, Gerald V. Denis, et al.. (2012). BET bromodomain inhibition as a novel strategy for reactivation of HIV-1. Journal of Leukocyte Biology. 92(6). 1147–1154. 210 indexed citations
13.
Nikolajczyk, Barbara S., Madhumita Jagannathan‐Bogdan, & Gerald V. Denis. (2012). The outliers become a stampede as immunometabolism reaches a tipping point. Immunological Reviews. 249(1). 253–275. 41 indexed citations
14.
Denis, Gerald V. & Martin S. Obin. (2012). ‘Metabolically healthy obesity’: Origins and implications. Molecular Aspects of Medicine. 34(1). 59–70. 127 indexed citations
15.
Denis, Gerald V.. (2010). Bromodomain coactivators in cancer, obesity, type 2 diabetes, and inflammation.. PubMed. 10(55). 489–99. 54 indexed citations
16.
Belkina, Anna C. & Gerald V. Denis. (2010). Obesity genes and insulin resistance. Current Opinion in Endocrinology Diabetes and Obesity. 17(5). 472–477. 56 indexed citations
17.
Denis, Gerald V.. (2001). Duality in bromodomain-containing protein complexes. Frontiers in bioscience. 6(1). d849–d849. 21 indexed citations
18.
Deregowski, Valérie, Gerald V. Denis, Chantal Humblet, et al.. (2001). Genetic Imbalances in Preleukemic Thymuses. Biochemical and Biophysical Research Communications. 283(1). 12–18. 14 indexed citations
19.
Denis, Gerald V., Cyrus Vaziri, Ning Guo, & Douglas V. Faller. (2000). RING3 kinase transactivates promoters of cell cycle regulatory genes through E2F.. PubMed. 11(8). 417–24. 137 indexed citations
20.
Ostrowski, Jerzy, Stephanie K. Florio, Gerald V. Denis, Hideaki Suzuki, & Karol Bomsztyk. (1998). Stimulation of p85/RING3 kinase in multiple organs after systemic administration of mitogens into mice. Oncogene. 16(9). 1223–1227. 19 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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