Susanne MacLean

597 total citations
11 papers, 463 citations indexed

About

Susanne MacLean is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Susanne MacLean has authored 11 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Immunology. Recurrent topics in Susanne MacLean's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Bone health and treatments (4 papers) and CAR-T cell therapy research (3 papers). Susanne MacLean is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Bone health and treatments (4 papers) and CAR-T cell therapy research (3 papers). Susanne MacLean collaborates with scholars based in Canada, United States and Italy. Susanne MacLean's co-authors include J. F. Whitfield, Gordon E. Willick, Jon P. Durkin, Balu Chakravarthy, Witold Neugebauer, Lyne Gagnon, Richard Isaacs, Hervé Jouishomme, R. H. Rixon and V. Ross and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Bone and Mineral Research.

In The Last Decade

Susanne MacLean

11 papers receiving 457 citations

Peers

Susanne MacLean
Bogdan Yatsula United States
Katrina L. Clines United States
Lauren Liu United States
Katherine A. Naff United States
Thomas Mayr Germany
Elizabeth C. Lessey United States
Ahmed Uosef United States
Maria Riedel Denmark
Susanne MacLean
Citations per year, relative to Susanne MacLean Susanne MacLean (= 1×) peers Akihito Shoda

Countries citing papers authored by Susanne MacLean

Since Specialization
Citations

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

Fields of papers citing papers by Susanne MacLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne MacLean

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

All Works

11 of 11 papers shown
1.
McComb, Scott, Kevin A. Henry, Darin Bloemberg, et al.. (2022). Programmable Attenuation of Antigenic Sensitivity for a Nanobody-Based EGFR Chimeric Antigen Receptor Through Hinge Domain Truncation. Frontiers in Immunology. 13. 864868–864868. 22 indexed citations
2.
Bloemberg, Darin, Susanne MacLean, Ahmed Zafer, et al.. (2020). A High-Throughput Method for Characterizing Novel Chimeric Antigen Receptors in Jurkat Cells. Molecular Therapy — Methods & Clinical Development. 16. 238–254. 63 indexed citations
3.
Haq, Kamran, Yimei Jia, Seyyed Mehdy Elahi, et al.. (2019). Evaluation of recombinant adenovirus vectors and adjuvanted protein as a heterologous prime-boost strategy using HER2 as a model antigen. Vaccine. 37(47). 7029–7040. 13 indexed citations
4.
Tzelepis, Fanny, Julie Joseph, Elias K. Haddad, et al.. (2013). Intrinsic Role of FoxO3a in the Development of CD8+ T Cell Memory. The Journal of Immunology. 190(3). 1066–1075. 24 indexed citations
5.
Young, Kevin G., Susanne MacLean, Renu Dudani, Lakshmi Krishnan, & Subash Sad. (2011). CD8+ T Cells Primed in the Periphery Provide Time-Bound Immune-Surveillance to the Central Nervous System. The Journal of Immunology. 187(3). 1192–1200. 25 indexed citations
6.
Gardella, Thomas J., et al.. (2005). Backbone-methylated Analogues of the Principle Receptor Binding Region of Human Parathyroid Hormone. Journal of Biological Chemistry. 280(25). 23771–23777. 10 indexed citations
8.
Whitfield, J. F., Richard Isaacs, Hervé Jouishomme, et al.. (1996). C-terminal fragment of parathyroid hormone-related protein, PTHrP-(107-111), stimulates membrane-associated protein kinase C activity and modulates the proliferation of human and murine skin keratinocytes. Journal of Cellular Physiology. 166(1). 1–11. 35 indexed citations
9.
Whitfield, J. F., Lyne Gagnon, Richard Isaacs, et al.. (1994). Parathyroid hormone fragments may stimulate bone growth in ovariectomized rats by activating adenylyl cyclase. Journal of Bone and Mineral Research. 9(8). 1179–1189. 110 indexed citations
10.
Jouishomme, Hervé, J. F. Whitfield, Lyne Gagnon, et al.. (1994). Further definition of the protein kinase C activation domain of the parathyroid hormone. Journal of Bone and Mineral Research. 9(6). 943–949. 114 indexed citations
11.
Gagnon, Lyne, Hervé Jouishomme, J. F. Whitfield, et al.. (1993). Protein kinase C-activating domains of parathyroid hormone-related protein. Journal of Bone and Mineral Research. 8(4). 497–503. 41 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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