Michael D. Curley

837 total citations
19 papers, 636 citations indexed

About

Michael D. Curley is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Michael D. Curley has authored 19 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Michael D. Curley's work include Multiple Myeloma Research and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Michael D. Curley is often cited by papers focused on Multiple Myeloma Research and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Michael D. Curley collaborates with scholars based in United States, Japan and Canada. Michael D. Curley's co-authors include Rosemary Foster, Bo R. Rueda, Anne M. Friel, Drucilla J. Roberts, Petra Sergent, Carolyn R. Koulouris, Michael V. Seiden, David T. Scadden, Douglas L. Packer and A. Jamil Tajik and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Michael D. Curley

17 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Curley United States 9 400 307 142 89 61 19 636
G P Siegal United States 7 143 0.4× 241 0.8× 85 0.6× 69 0.8× 40 0.7× 11 497
Marc Leushacke Singapore 10 360 0.9× 494 1.6× 77 0.5× 74 0.8× 89 1.5× 13 855
Joanna Budna Poland 15 170 0.4× 304 1.0× 168 1.2× 153 1.7× 89 1.5× 60 737
Shuichi Ohe Japan 15 209 0.5× 218 0.7× 82 0.6× 59 0.7× 79 1.3× 30 565
Yick Fu Wong Hong Kong 15 263 0.7× 488 1.6× 364 2.6× 56 0.6× 47 0.8× 28 950
Yi‐Jou Tai Taiwan 11 260 0.7× 133 0.4× 65 0.5× 62 0.7× 210 3.4× 35 561
Chunhui Wang China 13 319 0.8× 310 1.0× 182 1.3× 15 0.2× 134 2.2× 27 664
Raquel Ruz Reyes Spain 11 125 0.3× 366 1.2× 136 1.0× 30 0.3× 184 3.0× 18 634
H Salazar United States 12 120 0.3× 368 1.2× 167 1.2× 261 2.9× 51 0.8× 16 765
Benoit Cox Belgium 10 168 0.4× 216 0.7× 62 0.4× 207 2.3× 212 3.5× 10 638

Countries citing papers authored by Michael D. Curley

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Curley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Curley. 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 Michael D. Curley. The network helps show where Michael D. Curley may publish in the future.

Co-authorship network of co-authors of Michael D. Curley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Curley. A scholar is included among the top collaborators of Michael D. Curley 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 Michael D. Curley. Michael D. Curley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Hong, Dongmei Zhang, Mingying Bi, et al.. (2025). CD38-targeted attenuated interferon alpha immunocytokine activates both innate and adaptive immune cells to drive anti-tumor activity. PLoS ONE. 20(5). e0321622–e0321622.
2.
Curley, Michael D., et al.. (2023). Pseudocholinesterase deficiency in ophthalmology: a systematic review. Orbit. 43(3). 429–437.
3.
4.
Curley, Michael D., Sergio Iadevaia, Victoria Rimkunas, et al.. (2019). Dual targeting of IGF-1R and ErbB3 as a potential therapeutic regimen for ovarian cancer. Scientific Reports. 9(1). 16832–16832. 17 indexed citations
5.
6.
Pace, Emily A., Sharlene Adams, Michael D. Curley, et al.. (2018). Dual Inhibition of IGF-1R and ErbB3 Enhances the Activity of Gemcitabine and Nab-Paclitaxel in Preclinical Models of Pancreatic Cancer. Clinical Cancer Research. 24(12). 2873–2885. 44 indexed citations
7.
Adams, Sharlene, Michael D. Curley, Sergio Iadevaia, et al.. (2015). Abstract A89: Istiratumab (MM-141), a bispecific antibody co-targeting IGF-1R and ErbB3, potentiates the activity of immune checkpoint inhibitors. Molecular Cancer Therapeutics. 14(12_Supplement_2). A89–A89. 2 indexed citations
8.
Tanwar, Pradeep S., LiHua Zhang, Tomoko Kaneko-Tarui, et al.. (2011). Mammalian Target of Rapamycin Is a Therapeutic Target for Murine Ovarian Endometrioid Adenocarcinomas with Dysregulated Wnt/β-Catenin and PTEN. PLoS ONE. 6(6). e20715–e20715. 36 indexed citations
9.
McCann, Christopher, Whitfield B. Growdon, Michael D. Curley, et al.. (2011). Inhibition of Hedgehog Signaling Antagonizes Serous Ovarian Cancer Growth in a Primary Xenograft Model. PLoS ONE. 6(11). e28077–e28077. 57 indexed citations
10.
Friel, Anne M., Lingling Zhang, Michael D. Curley, et al.. (2010). Epigenetic regulation of CD133 and tumorigenicity of CD133 positive and negative endometrial cancer cells. Reproductive Biology and Endocrinology. 8(1). 147–147. 47 indexed citations
11.
Smith, Stephen A., Sarah J. Campbell, Duncan Webster, et al.. (2009). A Study of the Prevalence of Cytotoxic and Non‐Cytotoxic Klebsiella oxytoca Fecal Colonization in Two Patient Populations. Canadian Journal of Infectious Diseases and Medical Microbiology. 20(4). e169–72. 7 indexed citations
12.
Curley, Michael D., Petra Sergent, Carolyn R. Koulouris, et al.. (2009). CD133 Expression Defines a Tumor Initiating Cell Population in Primary Human Ovarian Cancer. Stem Cells. 27(12). 2875–2883. 346 indexed citations
13.
Fothergill, David M., et al.. (2001). Recreational scuba divers' aversion to low-frequency underwater sound.. PubMed. 28(1). 9–18. 3 indexed citations
14.
Fothergill, David M., et al.. (1999). Effects of a neoprene wetsuit hood on low-frequency underwater hearing thresholds. The Journal of the Acoustical Society of America. 105(2_Supplement). 1298–1298. 1 indexed citations
15.
Seward, James B., Douglas L. Packer, Rodrigo C. Chan, Michael D. Curley, & A. Jamil Tajik. (1996). Ultrasound Cardioscopy: Embarking on a New Journey. Mayo Clinic Proceedings. 71(7). 629–635. 43 indexed citations
16.
Curley, Michael D.. (1988). U.S. Navy saturation diving and diver neuropsychologic status.. PubMed. 15(1). 39–50. 3 indexed citations
17.
Curley, Michael D., Joseph Walsh, & Robert G. Triplett. (1982). Some Adjustment Indices of Oral-Maxillofacial War Casualties, Limb Amputees, and Noninjured Veterans. Military Medicine. 147(7). 572–574. 8 indexed citations
18.
Powell, Robert, et al.. (1978). A comparison of signaled vs. unsignaled free-operant avoidance in Mongolian gerbils and domesticated rats. Bulletin of the Psychonomic Society. 12(6). 415–418. 6 indexed citations
19.
Powell, Robert & Michael D. Curley. (1976). Instinctive drift in nondomesticated rodents. Bulletin of the Psychonomic Society. 8(3). 175–178. 4 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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