Dennis Carney

4.4k total citations · 2 hit papers
51 papers, 3.4k citations indexed

About

Dennis Carney is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Dennis Carney has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 25 papers in Pathology and Forensic Medicine and 15 papers in Hematology. Recurrent topics in Dennis Carney's work include Chronic Lymphocytic Leukemia Research (33 papers), Lymphoma Diagnosis and Treatment (25 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). Dennis Carney is often cited by papers focused on Chronic Lymphocytic Leukemia Research (33 papers), Lymphoma Diagnosis and Treatment (25 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). Dennis Carney collaborates with scholars based in Australia, United States and Italy. Dennis Carney's co-authors include Peng Huang, Hélène Pelicano, John F. Seymour, Andrew W. Roberts, Sari H. Enschede, David Westerman, David C.S. Huang, Andrew Krivoshik, Thomas J. Kipps and Hao Xiong and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Dennis Carney

47 papers receiving 3.3k citations

Hit Papers

ROS stress in cancer cells and therapeutic implications 2004 2026 2011 2018 2004 2011 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
Dennis Carney Australia 20 1.7k 703 675 590 451 51 3.4k
Yunfeng Cheng China 32 1.3k 0.8× 335 0.5× 184 0.3× 498 0.8× 698 1.5× 135 4.0k
Timothy Madden United States 37 2.1k 1.3× 463 0.7× 369 0.5× 1.6k 2.8× 1.2k 2.7× 108 4.8k
Li Jia China 35 2.3k 1.4× 273 0.4× 250 0.4× 905 1.5× 256 0.6× 118 4.1k
Cody J. Peer United States 33 1.8k 1.1× 450 0.6× 209 0.3× 1.5k 2.6× 172 0.4× 156 4.0k
Ke Lin United Kingdom 27 927 0.6× 588 0.8× 868 1.3× 476 0.8× 210 0.5× 72 2.4k
Raymond J. Hohl United States 40 2.3k 1.4× 366 0.5× 310 0.5× 1.5k 2.6× 616 1.4× 138 4.9k
Christopher L. Morton United States 45 3.2k 1.9× 406 0.6× 306 0.5× 1.5k 2.6× 204 0.5× 128 5.6k
Patric J. Jansson Australia 42 2.6k 1.6× 438 0.6× 217 0.3× 2.4k 4.0× 405 0.9× 85 5.5k
Žaklina Kovačević Australia 43 3.2k 1.9× 818 1.2× 231 0.3× 1.8k 3.1× 423 0.9× 89 5.6k
Lingyu Zeng China 27 1.1k 0.7× 127 0.2× 276 0.4× 533 0.9× 698 1.5× 219 3.2k

Countries citing papers authored by Dennis Carney

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Carney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Carney

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Carney. A scholar is included among the top collaborators of Dennis Carney 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 Carney. Dennis Carney 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
3.
Lew, Thomas E., Mary Ann Anderson, Constantine S. Tam, et al.. (2018). Long Term Outcomes of Venetoclax Therapy for Complex Karyotype Relapsed/Refractory Chronic Lymphocytic Leukemia. Blood. 132(Supplement 1). 4431–4431. 1 indexed citations
5.
Cheah, Chan Y., Kirsten Herbert, Glen Kennedy, et al.. (2014). A multicentre retrospective comparison of central nervous system prophylaxis strategies among patients with high-risk diffuse large B-cell lymphoma. British Journal of Cancer. 111(6). 1072–1079. 89 indexed citations
6.
Cheah, Chan Y., Michael S. Hofman, Michael Dickinson, et al.. (2013). Limited role for surveillance PET–CT scanning in patients with diffuse large B-cell lymphoma in complete metabolic remission following primary therapy. British Journal of Cancer. 109(2). 312–317. 50 indexed citations
7.
Roberts, Andrew W., John F. Seymour, Jennifer R. Brown, et al.. (2011). Substantial Susceptibility of Chronic Lymphocytic Leukemia to BCL2 Inhibition: Results of a Phase I Study of Navitoclax in Patients With Relapsed or Refractory Disease. Journal of Clinical Oncology. 30(5). 488–496. 632 indexed citations breakdown →
8.
Mikeska, Thomas, Chelsee Hewitt, Dennis Carney, et al.. (2011). 1.30 Caspase 10 is Down-Regulated in Chronic Lymphocytic Leukemia. Clinical Lymphoma Myeloma & Leukemia. 11. S159–S159. 1 indexed citations
9.
Carney, Dennis, David Westerman, Constantine S. Tam, et al.. (2010). Therapy-related myelodysplastic syndrome and acute myeloid leukemia following fludarabine combination chemotherapy. Leukemia. 24(12). 2056–2062. 68 indexed citations
10.
Peinert, Stefan, Margaret F. Moloney, H. Miles Prince, et al.. (2009). RAPID INFUSION OF RITUXIMAB IS WELL TOLERATED AND ENABLES MORE EFFICIENT USE OF HAEMATOLOGY DAY WARD RESOURCES. 94. 2 indexed citations
11.
Gill, Saar, Dennis Carney, David Ritchie, et al.. (2009). The frequency, manifestations, and duration of prolonged cytopenias after first-line fludarabine combination chemotherapy. Annals of Oncology. 21(2). 331–334. 32 indexed citations
12.
Gill, Saar, Kirsten Herbert, H. Miles Prince, et al.. (2009). Mantle cell lymphoma with central nervous system involvement: frequency and clinical features. British Journal of Haematology. 147(1). 83–88. 40 indexed citations
13.
Carney, Dennis, et al.. (2008). Negative selection of chronic lymphocytic leukaemia cells using a bifunctional rosette-based antibody cocktail. BMC Biotechnology. 8(1). 6–6. 5 indexed citations
15.
Tam, Constantine S., Max Wolf, H. Miles Prince, et al.. (2006). Fludarabine, cyclophosphamide, and rituximab for the treatment of patients with chronic lymphocytic leukemia or indolent non‐hodgkin lymphoma. Cancer. 106(11). 2412–2420. 75 indexed citations
16.
Zhou, Yan, Celia Garcı́a-Prieto, Dennis Carney, et al.. (2005). OSW-1: a Natural Compound With Potent Anticancer Activity and a Novel Mechanism of Action. JNCI Journal of the National Cancer Institute. 97(23). 1781–1785. 84 indexed citations
17.
Carney, Dennis & William G. Wierda. (2005). Genetics and molecular biology of chronic lymphocytic leukemia. Current Treatment Options in Oncology. 6(3). 215–225. 13 indexed citations
18.
Yin, C. Cameron, Pei Lin, Dennis Carney, et al.. (2005). Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Associated With IgM Paraprotein: A Clinicopathologic Study of 26 Cases. American Journal of Clinical Pathology. 123(4). 594–602. 33 indexed citations
19.
Pelicano, Hélène, Dennis Carney, & Peng Huang. (2004). ROS stress in cancer cells and therapeutic implications. Drug Resistance Updates. 7(2). 97–110. 1675 indexed citations breakdown →
20.
Moore, Vicky, Dennis Carney, Susan E. Jasper, et al.. (2000). Performing an Echocardiographic Examination with a Contrast Agent: A Series on Contrast Echocardiography, Article 2. Journal of the American Society of Echocardiography. 13(6). 629–636. 6 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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