Daniel E. Lopes de Menezes

894 total citations
12 papers, 738 citations indexed

About

Daniel E. Lopes de Menezes is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Daniel E. Lopes de Menezes has authored 12 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biomaterials and 3 papers in Oncology. Recurrent topics in Daniel E. Lopes de Menezes's work include Nanoparticle-Based Drug Delivery (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cancer therapeutics and mechanisms (2 papers). Daniel E. Lopes de Menezes is often cited by papers focused on Nanoparticle-Based Drug Delivery (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cancer therapeutics and mechanisms (2 papers). Daniel E. Lopes de Menezes collaborates with scholars based in Canada, United States and India. Daniel E. Lopes de Menezes's co-authors include Theresa M. Allen, Christian Hansen, Linda M. Pilarski, Samuel Zalipsky, Elaine H. Moase, Marc Kirchmeier, Israr Ahmad, Lawrence D. Mayer, Andrew R. Belch and Katherine G. Rendahl and has published in prestigious journals such as Cancer Research, Advanced Drug Delivery Reviews and Clinical Cancer Research.

In The Last Decade

Daniel E. Lopes de Menezes

12 papers receiving 707 citations

Peers

Daniel E. Lopes de Menezes
Kai Temming Netherlands
A Rahman United States
Eric A. Forssen United States
Scott Cooper United States
Olaf Kinstler United States
S S Burtles United Kingdom
Daniel E. Lopes de Menezes
Citations per year, relative to Daniel E. Lopes de Menezes Daniel E. Lopes de Menezes (= 1×) peers Helen Loughrey

Countries citing papers authored by Daniel E. Lopes de Menezes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Lopes de Menezes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Lopes de Menezes. 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 Daniel E. Lopes de Menezes. The network helps show where Daniel E. Lopes de Menezes may publish in the future.

Co-authorship network of co-authors of Daniel E. Lopes de Menezes

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

All Works

12 of 12 papers shown
1.
Tse, Archie, Katherine G. Rendahl, Tahir Sheikh, et al.. (2007). CHIR-124, a Novel Potent Inhibitor of Chk1, Potentiates the Cytotoxicity of Topoisomerase I Poisons In vitro and In vivo. Clinical Cancer Research. 13(2). 591–602. 117 indexed citations
2.
Menezes, Daniel E. Lopes de, Kimberly Denis-Mize, Helen Ye, et al.. (2006). Recombinant Interleukin-2 Significantly Augments Activity of Rituximab in Human Tumor Xenograft Models of B-cell Non-Hodgkin Lymphoma. Journal of Immunotherapy. 30(1). 64–74. 22 indexed citations
3.
Menezes, Daniel E. Lopes de, Jing Peng, Evelyn N. Garrett, et al.. (2005). Multitargeted kinase inhibition and sustained biological effects of CHIR-258 contribute to enhanced preclinical efficacy. Cancer Research. 65. 160–160. 1 indexed citations
4.
Menezes, Daniel E. Lopes de, Evelyn N. Garrett, Sharianne G. Louie, et al.. (2005). CHIR-258: A Potent Inhibitor of FLT3 Kinase in Experimental Tumor Xenograft Models of Human Acute Myelogenous Leukemia. Clinical Cancer Research. 11(14). 5281–5291. 95 indexed citations
6.
Menezes, Daniel E. Lopes de, Linda M. Pilarski, Andrew R. Belch, & Theresa M. Allen. (2000). Selective targeting of immunoliposomal doxorubicin against human multiple myeloma in vitro and ex vivo. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1466(1-2). 205–220. 40 indexed citations
8.
Menezes, Daniel E. Lopes de, et al.. (1999). Cellular Trafficking and Cytotoxicity of Anti-Cd19-Targeted Liposomal Doxorubicin in B Lymphoma Cells. Journal of Liposome Research. 9(2). 199–228. 62 indexed citations
9.
Zalipsky, Samuel, Christian Hansen, Daniel E. Lopes de Menezes, & Theresa M. Allen. (1996). Long-circulating, polyethylene glycol-grafted immunoliposomes. Journal of Controlled Release. 39(2-3). 153–161. 63 indexed citations
10.
Menezes, Daniel E. Lopes de & E.I. Vargha-Butler. (1996). Study of liposomal drug delivery systems 3. Dynamic in-vitro release of steroids from multilamellar liposomes. Colloids and Surfaces B Biointerfaces. 6(4-5). 269–277. 4 indexed citations
11.
Allen, Theresa M., Christian Hansen, & Daniel E. Lopes de Menezes. (1995). Pharmacokinetics of long-circulating liposomes. Advanced Drug Delivery Reviews. 16(2-3). 267–284. 245 indexed citations
12.
Allen, Theresa M., Israr Ahmad, Daniel E. Lopes de Menezes, & Elaine H. Moase. (1995). Immunoliposome-mediated targeting of anti-cancer drugs in vivo. Biochemical Society Transactions. 23(4). 1073–1079. 48 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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