Jack Dempsey

2.9k total citations
35 papers, 1.6k citations indexed

About

Jack Dempsey is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jack Dempsey has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jack Dempsey's work include Cancer-related Molecular Pathways (10 papers), Advanced Breast Cancer Therapies (6 papers) and DNA Repair Mechanisms (5 papers). Jack Dempsey is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Advanced Breast Cancer Therapies (6 papers) and DNA Repair Mechanisms (5 papers). Jack Dempsey collaborates with scholars based in United States, Germany and China. Jack Dempsey's co-authors include Lin Lü, Yavin Shaham, Jennifer M. Bossert, Bruce T. Hope, José E. Cardier, Jeffrey W. Grimm, Richard P. Beckmann, Wayne Blosser, Darlene Barnard and Teresa F. Burke and has published in prestigious journals such as Journal of Neuroscience, Blood and Nature Neuroscience.

In The Last Decade

Jack Dempsey

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Dempsey United States 17 706 692 299 252 145 35 1.6k
Hu Zhu United States 20 521 0.7× 1.0k 1.5× 358 1.2× 144 0.6× 80 0.6× 27 1.7k
Stefan Berger Germany 22 375 0.5× 800 1.2× 341 1.1× 123 0.5× 85 0.6× 43 1.8k
Eric I. Zimmerman United States 16 263 0.4× 510 0.7× 286 1.0× 170 0.7× 39 0.3× 28 1.3k
Philipp von Rosenstiel United States 20 307 0.4× 845 1.2× 325 1.1× 64 0.3× 72 0.5× 55 2.4k
Pieter J. Peeters Belgium 26 249 0.4× 838 1.2× 370 1.2× 67 0.3× 109 0.8× 40 2.2k
Toshio Asano Japan 29 439 0.6× 919 1.3× 122 0.4× 45 0.2× 109 0.8× 84 2.4k
Sharon K. Michelhaugh United States 24 468 0.7× 606 0.9× 150 0.5× 99 0.4× 37 0.3× 49 1.5k
Thomas Vaissière United States 21 208 0.3× 1.6k 2.2× 181 0.6× 201 0.8× 103 0.7× 28 2.1k
Shangfeng Gao China 23 248 0.4× 654 0.9× 163 0.5× 47 0.2× 113 0.8× 64 1.3k
Stuart J. Mundell United Kingdom 35 1.1k 1.6× 1.8k 2.5× 213 0.7× 31 0.1× 267 1.8× 78 3.0k

Countries citing papers authored by Jack Dempsey

Since Specialization
Citations

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

Fields of papers citing papers by Jack Dempsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Dempsey. 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 Jack Dempsey. The network helps show where Jack Dempsey may publish in the future.

Co-authorship network of co-authors of Jack Dempsey

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Dempsey. A scholar is included among the top collaborators of Jack Dempsey 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 Jack Dempsey. Jack Dempsey 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.
Bernard, Jessica A., et al.. (2025). Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis. NeuroImage Clinical. 46. 103770–103770. 1 indexed citations
2.
Novick, Andrew M., Melissa Kwitowski, Jack Dempsey, Danielle Cooke, & Allison G. Dempsey. (2022). Technology-Based Approaches for Supporting Perinatal Mental Health. Current Psychiatry Reports. 24(9). 419–429. 18 indexed citations
3.
Dowless, Michele, Caitlin D. Lowery, Terry J. Shackleford, et al.. (2018). Abemaciclib Is Active in Preclinical Models of Ewing Sarcoma via Multipronged Regulation of Cell Cycle, DNA Methylation, and Interferon Pathway Signaling. Clinical Cancer Research. 24(23). 6028–6039. 47 indexed citations
4.
King, Constance, Samuel McNeely, Darlene Barnard, et al.. (2015). LY2606368 Causes Replication Catastrophe and Antitumor Effects through CHK1-Dependent Mechanisms. Molecular Cancer Therapeutics. 14(9). 2004–2013. 139 indexed citations
5.
Gong, Xueqian, Li-Chun Chio, Farhana F. Merzoug, et al.. (2015). Abstract 3104: Molecular features that determine the sensitivity of cancer cells to abemaciclib, an inhibitor of CDK4 and CDK6. Cancer Research. 75(15_Supplement). 3104–3104. 1 indexed citations
6.
Peek, Victoria L., Suzane L. Um, S. Betty Yan, et al.. (2011). Abstract A49: Circulating tumor cell (CTC) assay development for detection of H2AX as a clinical pharmacodynamic (PD) marker for Chk1 kinase inhibitors.. Molecular Cancer Therapeutics. 10(11_Supplement). A49–A49. 1 indexed citations
7.
Yang, Hui, Teresa F. Burke, Jack Dempsey, et al.. (2005). Mitotic requirement for aurora A kinase is bypassed in the absence of aurora B kinase. FEBS Letters. 579(16). 3385–3391. 86 indexed citations
8.
Lü, Lin, et al.. (2005). Central amygdala ERK signaling pathway is critical to incubation of cocaine craving. Nature Neuroscience. 8(2). 212–219. 341 indexed citations
9.
Lü, Lin, Jack Dempsey, Yavin Shaham, & Bruce T. Hope. (2005). Differential long‐term neuroadaptations of glutamate receptors in the basolateral and central amygdala after withdrawal from cocaine self‐administration in rats. Journal of Neurochemistry. 94(1). 161–168. 56 indexed citations
10.
Lü, Lin, Jeffrey W. Grimm, Jack Dempsey, & Yavin Shaham. (2004). Cocaine seeking over extended withdrawal periods in rats: different time courses of responding induced by cocaine cues versus cocaine priming over the first 6 months. Psychopharmacology. 176(1). 101–108. 139 indexed citations
11.
Zhu, Guoxin, Scott E. Conner, Xun Zhou, et al.. (2004). Synthesis of 1,7-annulated indoles and their applications in the studies of cyclin dependent kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(12). 3057–3061. 36 indexed citations
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14.
Shih, Chuan, Guoxin Zhu, Harold B. Brooks, et al.. (2003). Studies on cyclin-dependent kinase inhibitors: indolo-[2,3-a]pyrrolo[3,4-c]carbazoles versus bis-indolylmaleimides. Bioorganic & Medicinal Chemistry Letters. 13(21). 3841–3846. 28 indexed citations
15.
Zhu, Guoxin, Scott E. Conner, Xun Zhou, et al.. (2003). Synthesis of quinolinyl/isoquinolinyl[a]pyrrolo [3,4-c] carbazoles as cyclin D1/CDK4 inhibitors. Bioorganic & Medicinal Chemistry Letters. 13(7). 1231–1235. 29 indexed citations
16.
Dempsey, Jack, et al.. (2002). A neural network to diagnose liver cancer. IEEE International Conference on Neural Networks. 3 indexed citations
17.
Lu, Ku, Jack Dempsey, Richard M. Schultz, Chuan Shih, & Beverly A. Teicher. (2001). Cryptophycin-induced hyperphosphorylation of Bcl-2, cell cycle arrest and growth inhibition in human H460 NSCLC cells. Cancer Chemotherapy and Pharmacology. 47(2). 170–178. 21 indexed citations
18.
Dempsey, Jack, et al.. (1994). How to improve a neural network for early detection of hepatic cancer. Cancer Letters. 77(2-3). 95–101. 24 indexed citations
19.
Dempsey, Jack, et al.. (1992). Using an artificial neural network to diagnose hepatic masses. Journal of Medical Systems. 16(5). 215–225. 35 indexed citations
20.
Dempsey, Jack, et al.. (1991). Using neural networks to diagnose cancer. Journal of Medical Systems. 15(1). 11–19. 76 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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