Stephen Burke

1.1k total citations
16 papers, 869 citations indexed

About

Stephen Burke is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Stephen Burke has authored 16 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Stephen Burke's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Stephen Burke is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Stephen Burke collaborates with scholars based in United States and Canada. Stephen Burke's co-authors include Syd Johnson, Daved H. Fremont, Grant E. Nybakken, Theodore Oliphant, Michael Diamond, Ezio Bonvini, Sergey Gorlatov, Scott Koenig, Ling Huang and Nadine Tuaillon and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Stephen Burke

16 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Burke United States 9 384 333 263 248 227 16 869
Qianting Zhai United States 8 362 0.9× 534 1.6× 282 1.1× 79 0.3× 136 0.6× 9 1.1k
Alexander Filatov Russia 15 271 0.7× 386 1.2× 342 1.3× 25 0.1× 105 0.5× 68 902
Nadine Barnes Australia 10 399 1.0× 354 1.1× 458 1.7× 57 0.2× 59 0.3× 12 745
Gemma Pidelaserra-Martí Germany 6 149 0.4× 129 0.4× 349 1.3× 142 0.6× 34 0.1× 7 630
Pauline Malinge Switzerland 13 304 0.8× 397 1.2× 277 1.1× 20 0.1× 119 0.5× 24 788
Andrew Pincetic United States 9 536 1.4× 581 1.7× 648 2.5× 41 0.2× 95 0.4× 11 1.2k
Larisa Pereboeva United States 21 53 0.1× 579 1.7× 168 0.6× 107 0.4× 229 1.0× 32 1.2k
Nancy B. Myers United States 24 261 0.7× 462 1.4× 1.3k 5.1× 98 0.4× 83 0.4× 43 1.7k
Linda M. Karavodin United States 12 129 0.3× 170 0.5× 240 0.9× 29 0.1× 103 0.5× 18 556
Maria D. Iglesias-Ussel United States 15 142 0.4× 766 2.3× 691 2.6× 51 0.2× 210 0.9× 25 1.4k

Countries citing papers authored by Stephen Burke

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Burke

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

All Works

16 of 16 papers shown
1.
Burke, Stephen, et al.. (2023). Elastin‐like polypeptide delivery of anti‐inflammatory peptides to the brain following ischemic stroke. The FASEB Journal. 37(8). e23077–e23077. 8 indexed citations
2.
Burke, Stephen, et al.. (2021). A dose-escalating toxicology study of the candidate biologic ELP-VEGF. Scientific Reports. 11(1). 6216–6216. 7 indexed citations
3.
Murthy, Sanjay K., Lilia Antonova, Catherine Dubé, et al.. (2021). Multivariable models for advanced colorectal neoplasms in screen-eligible individuals at low-to-moderate risk of colorectal cancer: towards improving colonoscopy prioritization.. SHILAP Revista de lepidopterología. 21(1). 383–383. 1 indexed citations
4.
Johnson, Sadie, Stephen Burke, Amy D Greenway, et al.. (2018). Characterization of the Immune Impact of Daratumumab By Mass Cytometry in Multiple Myeloma. Blood. 132(Supplement 1). 4466–4466. 1 indexed citations
5.
Nie, Zilin, Sekar Natesampillai, Stephen Burke, et al.. (2017). Both HIV-Infected and Uninfected Cells Express TRAILshort, Which Confers TRAIL Resistance upon Bystander Cells within the Microenvironment. The Journal of Immunology. 200(3). 1110–1123. 10 indexed citations
6.
Moore, Preston D., Gurunadh R. Chichili, Limin Huang, et al.. (2014). 138 Preclinical activity and safety of MGD006, a CD123xCD3 Bispecific DART® molecule for the treatment of hematological malignancies. European Journal of Cancer. 50. 48–48. 3 indexed citations
7.
Verı́, Maria-Concetta, Stephen Burke, Ling Huang, et al.. (2010). Therapeutic control of B cell activation via recruitment of Fcγ receptor IIb (CD32B) inhibitory function with a novel bispecific antibody scaffold. Arthritis & Rheumatism. 62(7). 1933–1943. 59 indexed citations
8.
Burke, Stephen, Lucinda Smith, & Jeffrey B. Smith. (2010). cIAP1 Cooperatively Inhibits Procaspase-3 Activation by the Caspase-9 Apoptosome. Journal of Biological Chemistry. 285(39). 30061–30068. 27 indexed citations
9.
Burke, Stephen & Jeffrey B. Smith. (2010). Monomerization of Cytosolic Mature Smac Attenuates Interaction with IAPs and Potentiation of Caspase Activation. PLoS ONE. 5(10). e13094–e13094. 6 indexed citations
10.
Johnson, Syd, Stephen Burke, Ling Huang, et al.. (2010). Effector Cell Recruitment with Novel Fv-based Dual-affinity Re-targeting Protein Leads to Potent Tumor Cytolysis and in Vivo B-cell Depletion. Journal of Molecular Biology. 399(3). 436–449. 151 indexed citations
11.
Stavenhagen, Jeffrey B., Sergey Gorlatov, Nadine Tuaillon, et al.. (2007). Fc Optimization of Therapeutic Antibodies Enhances Their Ability to Kill Tumor Cells In vitro and Controls Tumor Expansion In vivo via Low-Affinity Activating Fcγ Receptors. Cancer Research. 67(18). 8882–8890. 211 indexed citations
12.
Stavenhagen, Jeffrey B., Sergey Gorlatov, Nadine Tuaillon, et al.. (2007). Enhancing the potency of therapeutic monoclonal antibodies via Fc optimization. Advances in Enzyme Regulation. 48(1). 152–164. 29 indexed citations
13.
Nybakken, Grant E., Theodore Oliphant, Syd Johnson, et al.. (2005). Structural basis of West Nile virus neutralization by a therapeutic antibody. Nature. 437(7059). 764–769. 283 indexed citations
14.
Huang, Zhiyong, Yanli Wu, Stephen Burke, & David H. Gutmann. (2003). The 43000 growth-associated protein functions as a negative growth regulator in glioma.. PubMed. 63(11). 2933–9. 11 indexed citations
15.
Uhlmann, Erik J., Anthony J. Apicelli, Stephen Burke, et al.. (2002). Heterozygosity for the tuberous sclerosis complex (TSC) gene products results in increased astrocyte numbers and decreased p27-Kip1 expression in TSC2+/− cells. Oncogene. 21(25). 4050–4059. 60 indexed citations
16.
Burke, Stephen, et al.. (1998). Intraoperative localization of epileptogenic focus with alfentanil and fentanyl.. Journal of Neurosurgical Anesthesiology. 10(4). 278–278. 2 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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2026