Joseph R. Nevins

50.1k total citations · 16 hit papers
281 papers, 39.2k citations indexed

About

Joseph R. Nevins is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Joseph R. Nevins has authored 281 papers receiving a total of 39.2k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Molecular Biology, 109 papers in Oncology and 104 papers in Genetics. Recurrent topics in Joseph R. Nevins's work include Virus-based gene therapy research (97 papers), Cancer-related Molecular Pathways (76 papers) and RNA Interference and Gene Delivery (38 papers). Joseph R. Nevins is often cited by papers focused on Virus-based gene therapy research (97 papers), Cancer-related Molecular Pathways (76 papers) and RNA Interference and Gene Delivery (38 papers). Joseph R. Nevins collaborates with scholars based in United States, United Kingdom and Taiwan. Joseph R. Nevins's co-authors include James DeGregori, Mike West, Scott W. Hiebert, Rosalie C. Sears, Laszlo Jakoi, James Darnell, Kiyoshi Ohtani, Srikumar Chellappan, D. Gale Johnson and Holly K. Dressman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Joseph R. Nevins

277 papers receiving 37.7k citations

Hit Papers

Oncogenic pathway signatures in human c... 1981 2026 1996 2011 2005 1992 1991 2000 2001 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph R. Nevins United States 105 28.8k 16.0k 9.0k 5.4k 2.8k 281 39.2k
Michael Wigler United States 103 35.3k 1.2× 7.2k 0.4× 10.6k 1.2× 6.2k 1.1× 5.7k 2.1× 222 47.0k
René Bernards Netherlands 90 30.7k 1.1× 16.4k 1.0× 6.2k 0.7× 9.8k 1.8× 3.1k 1.1× 322 44.6k
Richard A. Young United States 134 59.3k 2.1× 6.1k 0.4× 7.6k 0.8× 7.2k 1.3× 3.2k 1.1× 287 70.5k
Michael B. Eisen United States 72 42.7k 1.5× 12.5k 0.8× 8.6k 1.0× 13.0k 2.4× 2.6k 0.9× 161 62.0k
Frank McCormick United States 118 42.8k 1.5× 14.4k 0.9× 7.5k 0.8× 5.6k 1.0× 9.3k 3.3× 381 57.5k
Jeffrey M. Trent United States 89 20.5k 0.7× 7.3k 0.5× 6.1k 0.7× 5.9k 1.1× 2.0k 0.7× 384 31.5k
John C. Matese United States 12 27.3k 0.9× 5.8k 0.4× 5.2k 0.6× 7.7k 1.4× 1.6k 0.6× 15 40.7k
Axel Ullrich Germany 97 32.2k 1.1× 23.0k 1.4× 4.4k 0.5× 6.8k 1.3× 4.6k 1.6× 257 55.6k
Moshe Oren Israel 116 34.9k 1.2× 28.8k 1.8× 4.3k 0.5× 9.9k 1.8× 4.1k 1.5× 323 48.9k
David P. Lane United Kingdom 124 37.4k 1.3× 32.2k 2.0× 4.9k 0.5× 8.7k 1.6× 4.0k 1.4× 620 57.7k

Countries citing papers authored by Joseph R. Nevins

Since Specialization
Citations

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

Fields of papers citing papers by Joseph R. Nevins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph R. Nevins. 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 Joseph R. Nevins. The network helps show where Joseph R. Nevins may publish in the future.

Co-authorship network of co-authors of Joseph R. Nevins

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph R. Nevins. A scholar is included among the top collaborators of Joseph R. Nevins 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 Joseph R. Nevins. Joseph R. Nevins 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.
Rempel, Rachel E., Tuan Zea Tan, Jieru Ye, et al.. (2014). Utilization of the Eμ-Myc Mouse to Model Heterogeneity of Therapeutic Response. Molecular Cancer Therapeutics. 13(12). 3219–3229. 9 indexed citations
2.
Shats, Igor, Michael L. Gatza, Beiyu Liu, et al.. (2013). FOXO Transcription Factors Control E2F1 Transcriptional Specificity and Apoptotic Function. Cancer Research. 73(19). 6056–6067. 42 indexed citations
3.
Nevins, Joseph R.. (2011). Pathway-Based Classification of Lung Cancer: A Strategy to Guide Therapeutic Selection. Proceedings of the American Thoracic Society. 8(2). 180–182. 16 indexed citations
4.
Shats, Igor, Michael L. Gatza, Jeffrey T. Chang, et al.. (2010). Using a Stem Cell–Based Signature to Guide Therapeutic Selection in Cancer. Cancer Research. 71(5). 1772–1780. 96 indexed citations
5.
Barry, William T., Dawn Kernagis, Holly K. Dressman, et al.. (2010). Intratumor Heterogeneity and Precision of Microarray-Based Predictors of Breast Cancer Biology and Clinical Outcome. Journal of Clinical Oncology. 28(13). 2198–2206. 84 indexed citations
6.
Kim, Jong Wook, Seiichi Mori, & Joseph R. Nevins. (2010). Myc-Induced MicroRNAs Integrate Myc-Mediated Cell Proliferation and Cell Fate. Cancer Research. 70(12). 4820–4828. 45 indexed citations
7.
Meadows, Sarah K., Holly K. Dressman, Pamela Daher, et al.. (2010). Diagnosis of Partial Body Radiation Exposure in Mice Using Peripheral Blood Gene Expression Profiles. PLoS ONE. 5(7). e11535–e11535. 51 indexed citations
8.
Friedman, Daphne R., J. Brice Weinberg, William T. Barry, et al.. (2009). A Genomic Approach to Improve Prognosis and Predict Therapeutic Response in Chronic Lymphocytic Leukemia. Clinical Cancer Research. 15(22). 6947–6955. 28 indexed citations
9.
Augustine, Christina K., Jin Soo Yoo, Anil Potti, et al.. (2009). Genomic and Molecular Profiling Predicts Response to Temozolomide in Melanoma. Clinical Cancer Research. 15(2). 502–510. 74 indexed citations
10.
Mori, Seiichi, Rachel E. Rempel, Jeffrey T. Chang, et al.. (2008). Utilization of Pathway Signatures to Reveal Distinct Types of B Lymphoma in the Eμ- myc Model and Human Diffuse Large B-Cell Lymphoma. Cancer Research. 68(20). 8525–8534. 56 indexed citations
11.
Schroeder, Thies, Seiichi Mori, Joseph R. Nevins, et al.. (2008). Genomic analysis of response to lactic acidosis in human cancers. Cancer Research. 68. 2054–2054. 22 indexed citations
12.
Dressman, Holly K., Christopher Hans, Andrea H. Bild, et al.. (2006). Gene Expression Profiles of Multiple Breast Cancer Phenotypes and Response to Neoadjuvant Chemotherapy. Clinical Cancer Research. 12(3). 819–826. 121 indexed citations
13.
Rich, Jeremy N., Christopher Hans, Beatrix Jones, et al.. (2005). Gene Expression Profiling and Genetic Markers in Glioblastoma Survival. Cancer Research. 65(10). 4051–4058. 257 indexed citations
14.
DeLong, Marilyn, Qin Wang, Adrian Dobra, et al.. (2005). DIG--a system for gene annotation and functional discovery. Computer applications in the biosciences. 21(13). 2957–2959. 18 indexed citations
15.
Pittman, Jennifer, Erich Huang, Holly K. Dressman, et al.. (2004). Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes. Proceedings of the National Academy of Sciences. 101(22). 8431–8436. 166 indexed citations
16.
Cook, Jeanette Gowen, Dawn A. D. Chasse, & Joseph R. Nevins. (2004). The Regulated Association of Cdt1 with Minichromosome Maintenance Proteins and Cdc6 in Mammalian Cells. Journal of Biological Chemistry. 279(10). 9625–9633. 87 indexed citations
17.
Berchuck, Andrew, Edwin S. Iversen, Johnathan M. Lancaster, et al.. (2004). Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays. American Journal of Obstetrics and Gynecology. 190(4). 910–923. 80 indexed citations
18.
Gaubatz, Stefan, Geoffrey J. Lindeman, Seiichi Ishida, et al.. (2000). E2F4 and E2F5 Play an Essential Role in Pocket Protein–Mediated G1 Control. Molecular Cell. 6(3). 729–735. 229 indexed citations
19.
Kao, Hung‐Teh & Joseph R. Nevins. (1983). Transcriptional Activation and Subsequent Control of the Human Heat Shock Gene During Adenovirus Infection. Molecular and Cellular Biology. 3(11). 2058–2065. 127 indexed citations
20.
Nevins, Joseph R., Jean‐Marie Blanchard, & James Darnell. (1980). Transcription units of adenovirus type 2. Journal of Molecular Biology. 144(3). 377–386. 83 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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