Diana Brassard

1.4k total citations
17 papers, 1.1k citations indexed

About

Diana Brassard is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Diana Brassard has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Diana Brassard's work include interferon and immune responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Diana Brassard is often cited by papers focused on interferon and immune responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Diana Brassard collaborates with scholars based in United States, France and United Kingdom. Diana Brassard's co-authors include Michael J. Grace, Ronald Bordens, David R. Sibley, Frederick J. Monsma, Bruce A. Luxon, Sheila Jacobs, Anne Barton, Richard P. Haugland, Hee Chol Kang and Gerry Gitlin and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Clinical Cancer Research.

In The Last Decade

Diana Brassard

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Brassard United States 13 382 350 321 189 188 17 1.1k
Ronald Bordens United States 16 605 1.6× 689 2.0× 500 1.6× 342 1.8× 372 2.0× 22 1.8k
James Bausch United States 10 405 1.1× 181 0.5× 148 0.5× 113 0.6× 139 0.7× 15 824
S Pestka United States 16 387 1.0× 1.1k 3.1× 703 2.2× 156 0.8× 87 0.5× 32 1.7k
Alessandro Canella Italy 21 607 1.6× 239 0.7× 273 0.9× 113 0.6× 58 0.3× 52 1.2k
Aintzane Zabaleta Spain 14 240 0.6× 437 1.2× 209 0.7× 155 0.8× 214 1.1× 40 914
Steve Schoonooghe Belgium 19 733 1.9× 916 2.6× 383 1.2× 285 1.5× 134 0.7× 35 1.8k
Tatsuya Ishiguro Japan 23 703 1.8× 326 0.9× 574 1.8× 155 0.8× 60 0.3× 95 2.2k
Edwina C. Lerner United States 18 1.1k 2.8× 213 0.6× 696 2.2× 96 0.5× 85 0.5× 19 1.6k
Nuno Mendes Portugal 22 728 1.9× 344 1.0× 298 0.9× 84 0.4× 48 0.3× 45 1.3k
Atsushi Matsuda Japan 16 680 1.8× 301 0.9× 92 0.3× 279 1.5× 275 1.5× 51 1.2k

Countries citing papers authored by Diana Brassard

Since Specialization
Citations

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

Fields of papers citing papers by Diana Brassard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Brassard

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

All Works

17 of 17 papers shown
1.
Durán, George E., Yan C. Wang, John C. Rose, et al.. (2014). Mechanisms of Resistance to Cabazitaxel. Molecular Cancer Therapeutics. 14(1). 193–201. 78 indexed citations
2.
Bourrié, Bernard, Diana Brassard, Asher Zilberstein, et al.. (2012). SAR103168: a tyrosine kinase inhibitor with therapeutic potential in myeloid leukemias. Leukemia & lymphoma. 54(7). 1488–1499. 8 indexed citations
3.
Sparano, Joseph A., Lori J. Goldstein, Barrett H. Childs, et al.. (2011). Relationship between Quantitative GRB7 RNA Expression and Recurrence after Adjuvant Anthracycline Chemotherapy in Triple-Negative Breast Cancer. Clinical Cancer Research. 17(22). 7194–7203. 20 indexed citations
4.
Sparano, Joseph A., Lori J. Goldstein, Barrett H. Childs, et al.. (2009). Relationship between Topoisomerase 2A RNA Expression and Recurrence after Adjuvant Chemotherapy for Breast Cancer. Clinical Cancer Research. 15(24). 7693–7700. 21 indexed citations
5.
Grace, Michael J., Sheri Bradshaw, Stuart Cox, et al.. (2005). Site of Pegylation and Polyethylene Glycol Molecule Size Attenuate Interferon-α Antiviral and Antiproliferative Activities through the JAK/STAT Signaling Pathway. Journal of Biological Chemistry. 280(8). 6327–6336. 72 indexed citations
6.
Brassard, Diana, Stuart Cox, Douglas W. Leaman, et al.. (2004). Regulation of Gene Expression by Pegylated IFN- α 2b and IFN- α 2b in Human Peripheral Blood Mononuclear Cells. Journal of Interferon & Cytokine Research. 24(8). 455–469. 10 indexed citations
7.
Vyas, Keyur, Diana Brassard, Yaping Sun, et al.. (2003). Biologic Activity of Polyethylene Glycol12000–Interferon-α2b Compared with Interferon-α2b: Gene Modulatory and Antigrowth Effects in Tumor Cells. Journal of Immunotherapy. 26(3). 202–211. 8 indexed citations
8.
Luxon, Bruce A., Michael J. Grace, Diana Brassard, & Ronald Bordens. (2002). Pegylated interferons for the treatment of chronic hepatitis C infection. Clinical Therapeutics. 24(9). 1363–1383. 93 indexed citations
9.
Brassard, Diana, et al.. (2002). Inhibitors of Farnesyl Protein Transferase and MEK1,2 Induce Apoptosis in Fibroblasts Transformed with Farnesylated but Not Geranylgeranylated H-Ras. Experimental Cell Research. 273(2). 138–146. 24 indexed citations
10.
Wu, Qun, Paul T. Kirschmeier, Tong‐Yuan Yang, et al.. (2002). Transcriptional Regulation during p21/-induced Apoptosis in Human Ovarian Cancer Cells. Journal of Biological Chemistry. 277(39). 36329–36337. 88 indexed citations
11.
Brassard, Diana, Michael J. Grace, & Ronald Bordens. (2002). Interferon-α as an immunotherapeutic protein. Journal of Leukocyte Biology. 71(4). 565–581. 191 indexed citations
12.
Brassard, Diana, Michael J. Grace, & Ronald Bordens. (2002). Interferon-alpha as an immunotherapeutic protein.. PubMed. 71(4). 565–81. 212 indexed citations
13.
Grace, Michael J., Stephen K. Youngster, Gerry Gitlin, et al.. (2001). Structural and Biologic Characterization of Pegylated Recombinant IFN- α 2b. Journal of Interferon & Cytokine Research. 21(12). 1103–1115. 137 indexed citations
14.
Brassard, Diana & Robert A. Lamb. (1997). Expression of Influenza B Virus Hemagglutinin Containing Multibasic Residue Cleavage Sites. Virology. 236(2). 234–248. 9 indexed citations
15.
Brassard, Diana, George P. Leser, & Robert A. Lamb. (1996). Influenza B Virus NB Glycoprotein Is a Component of the Virion. Virology. 220(2). 350–360. 29 indexed citations
16.
Monsma, Frederick J., Diana Brassard, & David R. Sibley. (1989). Identification and characterization of D1 and D2 dopamine receptors in cultured neuroblastoma and retinoblastoma clonal cell lines. Brain Research. 492(1-2). 314–324. 32 indexed citations
17.
Monsma, Frederick J., Anne Barton, Hee Chol Kang, et al.. (1989). Characterization of Novel Fluorescent Ligands with High Affinity for D1 and D2 Dopaminergic Receptors. Journal of Neurochemistry. 52(5). 1641–1644. 85 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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