Dennis P.M. Hughes

2.1k total citations
45 papers, 1.5k citations indexed

About

Dennis P.M. Hughes is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dennis P.M. Hughes has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dennis P.M. Hughes's work include Sarcoma Diagnosis and Treatment (13 papers), Neuroblastoma Research and Treatments (8 papers) and CAR-T cell therapy research (6 papers). Dennis P.M. Hughes is often cited by papers focused on Sarcoma Diagnosis and Treatment (13 papers), Neuroblastoma Research and Treatments (8 papers) and CAR-T cell therapy research (6 papers). Dennis P.M. Hughes collaborates with scholars based in United States, China and Germany. Dennis P.M. Hughes's co-authors include Eugenie S. Kleinerman, Kevin T. McDonagh, Dafydd G. Thomas, Laurence H. Baker, Thomas J. Giordano, Kazumasa Nishimoto, Gangxiong Huang, Zhichao Zhou, Patrick A. Zweidler‐McKay and Cynthia E. Herzog and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Dennis P.M. Hughes

45 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
Dennis P.M. Hughes United States 24 770 481 447 396 235 45 1.5k
Michaela Nathrath Germany 24 689 0.9× 647 1.3× 591 1.3× 392 1.0× 236 1.0× 70 1.8k
Pooja Hingorani United States 24 577 0.7× 725 1.5× 691 1.5× 298 0.8× 307 1.3× 72 1.8k
Derek Atkins Germany 20 568 0.7× 544 1.1× 299 0.7× 176 0.4× 478 2.0× 27 1.5k
Joseph G. Pressey United States 23 550 0.7× 512 1.1× 478 1.1× 154 0.4× 216 0.9× 72 1.5k
Fabio Bozzi Italy 21 602 0.8× 526 1.1× 662 1.5× 229 0.6× 646 2.7× 49 1.9k
Katharina S. Götze Germany 29 1.7k 2.3× 498 1.0× 192 0.4× 510 1.3× 380 1.6× 130 3.9k
Metin Özdemirli United States 23 678 0.9× 470 1.0× 239 0.5× 178 0.4× 217 0.9× 82 1.7k
Laura Goldberg United States 18 865 1.1× 196 0.4× 247 0.6× 390 1.0× 173 0.7× 51 1.4k
Maria Monne Italy 17 628 0.8× 541 1.1× 431 1.0× 248 0.6× 249 1.1× 38 1.5k
P Maxwell United Kingdom 22 431 0.6× 451 0.9× 274 0.6× 223 0.6× 192 0.8× 40 1.5k

Countries citing papers authored by Dennis P.M. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Dennis P.M. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis P.M. Hughes. 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 Dennis P.M. Hughes. The network helps show where Dennis P.M. Hughes may publish in the future.

Co-authorship network of co-authors of Dennis P.M. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis P.M. Hughes. A scholar is included among the top collaborators of Dennis P.M. Hughes 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 Dennis P.M. Hughes. Dennis P.M. Hughes 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.
Yedururi, Sireesha, Ajaykumar C. Morani, Gregory W. Gladish, et al.. (2015). Cardiovascular involvement by osteosarcoma: an analysis of 20 patients. Pediatric Radiology. 46(1). 21–33. 20 indexed citations
2.
Hughes, Dennis P.M., et al.. (2015). Bone Sarcomas in Pediatrics: Progress in Our Understanding of Tumor Biology and Implications for Therapy. Pediatric Drugs. 17(4). 257–271. 30 indexed citations
3.
Austin, Mary T., Hoang Nguyen, Jan M. Eberth, et al.. (2014). Health disparities are important determinants of outcome for children with solid tumor malignancies. Journal of Pediatric Surgery. 50(1). 161–166. 41 indexed citations
4.
Hua, Yingqi, et al.. (2014). Abstract A71: Her-4 mediates anoikis resistance, chemoresistance, and metastatic potential in osteosarcoma. Cancer Research. 74(20_Supplement). A71–A71. 1 indexed citations
5.
Hughes, Dennis P.M., et al.. (2013). Understanding the Biology of Bone Sarcoma from Early Initiating Events through Late Events in Metastasis and Disease Progression. Frontiers in Oncology. 3. 230–230. 69 indexed citations
6.
Dumont, Amaury G., Yanwen Yang, David Reynoso, et al.. (2012). Anti-tumor effects of the Notch pathway in gastrointestinal stromal tumors. Carcinogenesis. 33(9). 1674–1683. 17 indexed citations
7.
8.
Nelson, Laura D., Christian Bender, Heiko Mannsperger, et al.. (2012). Triplex DNA-binding proteins are associated with clinical outcomes revealed by proteomic measurements in patients with colorectal cancer. Molecular Cancer. 11(1). 38–38. 28 indexed citations
9.
Hua, Yingqi, Kirill Gorshkov, Yanwen Yang, et al.. (2012). Slow down to stay alive. Cancer. 118(20). 5140–5154. 18 indexed citations
10.
Hughes, Dennis P.M.. (2011). Steinbrenner: The Last Lion of Baseball. Marquette sports law review. 21(2). 801. 1 indexed citations
11.
Zhang, Peng, Yue Yang, Riitta Nolo, Patrick A. Zweidler‐McKay, & Dennis P.M. Hughes. (2010). Regulation of NOTCH signaling by reciprocal inhibition of HES1 and Deltex 1 and its role in osteosarcoma invasiveness. Oncogene. 29(20). 2916–2926. 79 indexed citations
12.
Yang, Yanwen, et al.. (2010). Driven to Death: Inhibition of Farnesylation Increases Ras Activity and Promotes Growth Arrest and Cell Death. Molecular Cancer Therapeutics. 9(5). 1111–1119. 26 indexed citations
13.
Zweidler‐McKay, Patrick A., et al.. (2010). Signaling of ERBB receptor tyrosine kinases promotes neuroblastoma growth in vitro and in vivo. Cancer. 116(13). 3233–3243. 40 indexed citations
14.
Hughes, Dennis P.M.. (2009). How the NOTCH Pathway Contributes to the Ability of Osteosarcoma Cells to Metastasize. Cancer treatment and research. 152. 479–496. 89 indexed citations
15.
Nikolova, Dessislava A., Irfan A. Asangani, Laura D. Nelson, et al.. (2009). Cetuximab Attenuates Metastasis and u-PAR Expression in Non–Small Cell Lung Cancer: u-PAR and E-Cadherin are Novel Biomarkers of Cetuximab Sensitivity. Cancer Research. 69(6). 2461–2470. 23 indexed citations
16.
Hughes, Dennis P.M., et al.. (2009). Critical signaling pathways in bone sarcoma: Candidates for therapeutic interventions. Current Oncology Reports. 11(6). 446–453. 19 indexed citations
17.
Li, Shaozhi, et al.. (2008). Genetically engineered T cells expressing a HER2-specific chimeric receptor mediate antigen-specific tumor regression. Cancer Gene Therapy. 15(6). 382–392. 23 indexed citations
18.
Zhang, Pingyu, Yanwen Yang, Patrick A. Zweidler‐McKay, & Dennis P.M. Hughes. (2008). Notch/HES1/DTX1 signaling controls osteosarcoma invasiveness and metastasis in vivo.. Cancer Research. 68. 1984–1984. 1 indexed citations
19.
Hughes, Dennis P.M., Dafydd G. Thomas, Thomas J. Giordano, Kevin T. McDonagh, & Laurence H. Baker. (2005). Essential erbB family phosphorylation in osteosarcoma as a target for CI‐1033 inhibition. Pediatric Blood & Cancer. 46(5). 614–623. 43 indexed citations
20.

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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