Brenna Hansen

3.1k total citations · 1 hit paper
7 papers, 889 citations indexed

About

Brenna Hansen is a scholar working on Oncology, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Brenna Hansen has authored 7 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 2 papers in Electrical and Electronic Engineering and 1 paper in Molecular Biology. Recurrent topics in Brenna Hansen's work include CAR-T cell therapy research (6 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Digital Mental Health Interventions (1 paper). Brenna Hansen is often cited by papers focused on CAR-T cell therapy research (6 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Digital Mental Health Interventions (1 paper). Brenna Hansen collaborates with scholars based in United States and Canada. Brenna Hansen's co-authors include James N. Kochenderfer, Jennifer N. Brudno, Jeremy J. Rose, Ronald E. Gress, David F. Stroncek, Victoria Shi, Steven A. Feldman, Maryalice Stetler‐Stevenson, Irina Marić and Michael Wang and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Brenna Hansen

7 papers receiving 878 citations

Hit Papers

T cells expressing an anti–B-cell maturation antigen chim... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brenna Hansen United States 6 785 350 250 249 205 7 889
Julian Rydzek Germany 5 741 0.9× 300 0.9× 287 1.1× 265 1.1× 149 0.7× 7 850
Margot J. Pont United States 13 600 0.8× 326 0.9× 235 0.9× 167 0.7× 251 1.2× 27 798
Simon Thomas United Kingdom 10 677 0.9× 279 0.8× 201 0.8× 266 1.1× 75 0.4× 28 773
Karen Dengel United States 8 547 0.7× 245 0.7× 226 0.9× 139 0.6× 137 0.7× 8 616
Ryan Urak United States 15 910 1.2× 425 1.2× 402 1.6× 301 1.2× 77 0.4× 31 1.1k
Namiko Okuyama Japan 6 747 1.0× 285 0.8× 467 1.9× 208 0.8× 215 1.0× 9 945
Eugenia Zah United States 4 659 0.8× 231 0.7× 211 0.8× 269 1.1× 52 0.3× 5 700
ChingLam W. Wong United States 7 944 1.2× 359 1.0× 381 1.5× 312 1.3× 66 0.3× 8 1.0k
Reona Sakemura United States 13 717 0.9× 249 0.7× 261 1.0× 261 1.0× 70 0.3× 54 879
Sanfang Tu China 16 582 0.7× 297 0.8× 201 0.8× 144 0.6× 166 0.8× 52 858

Countries citing papers authored by Brenna Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Brenna Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brenna Hansen

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

All Works

7 of 7 papers shown
1.
Hansen, Brenna, et al.. (2022). The use of buprenorphine/naloxone to treat borderline personality disorder: a case report. Borderline Personality Disorder and Emotion Dysregulation. 9(1). 9–9. 5 indexed citations
2.
Brudno, Jennifer N., Norris Lam, Danielle Vanasse, et al.. (2020). Safety and feasibility of anti-CD19 CAR T cells with fully human binding domains in patients with B-cell lymphoma. Nature Medicine. 26(2). 270–280. 228 indexed citations
3.
Brudno, Jennifer N., Norris Lam, David F. Stroncek, et al.. (2018). Low Levels of Neurologic Toxicity with Retained Anti-Lymphoma Activity in a Phase I Clinical Trial of T Cells Expressing a Novel Anti-CD19 CAR. Blood. 132(Supplement 1). 697–697. 8 indexed citations
4.
Brudno, Jennifer N., Stefania Pittaluga, David F. Stroncek, et al.. (2018). Clinical anti-lymphoma activity and toxicity of T cells expressing a novel anti-CD19 chimeric antigen receptor with fully-human variable regions.. Journal of Clinical Oncology. 36(15_suppl). 3052–3052. 7 indexed citations
5.
Brudno, Jennifer N., Victoria Shi, David Stroncek, et al.. (2016). T Cells Expressing a Novel Fully-Human Anti-CD19 Chimeric Antigen Receptor Induce Remissions of Advanced Lymphoma in a First-in-Humans Clinical Trial. Blood. 128(22). 999–999. 27 indexed citations
6.
Ali, Syed Abbas, Victoria Shi, Irina Marić, et al.. (2016). T cells expressing an anti–B-cell maturation antigen chimeric antigen receptor cause remissions of multiple myeloma. Blood. 128(13). 1688–1700. 596 indexed citations breakdown →
7.
Ali, Syed Abbas, Victoria Shi, Michael Wang, et al.. (2015). Remissions of Multiple Myeloma during a First-in-Humans Clinical Trial of T Cells Expressing an Anti-B-Cell Maturation Antigen Chimeric Antigen Receptor. Blood. 126(23). LBA–1. 18 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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