Kyle Hansen

1.2k total citations
16 papers, 880 citations indexed

About

Kyle Hansen is a scholar working on Immunology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kyle Hansen has authored 16 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Oncology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kyle Hansen's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (4 papers). Kyle Hansen is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (4 papers). Kyle Hansen collaborates with scholars based in United States, Australia and Bulgaria. Kyle Hansen's co-authors include Shane Crotty, Laurel A. Monticelli, Daniel DiToro, Robin Kageyama, Burton E. Barnett, Isharat Yusuf, Robert J. Johnston, Matt Wachowiak, Michael N. Economo and Susan M. Kaech and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Kyle Hansen

15 papers receiving 870 citations

Peers

Kyle Hansen
Ángela Ballesteros United States
Allison M. Keeler United States
Jennifer Ashley United States
Heping Xu China
Ina Ersing United States
Saumya Kumar United Kingdom
Dawn Thomas United States
Ángela Ballesteros United States
Kyle Hansen
Citations per year, relative to Kyle Hansen Kyle Hansen (= 1×) peers Ángela Ballesteros

Countries citing papers authored by Kyle Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Hansen. A scholar is included among the top collaborators of Kyle 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 Kyle Hansen. Kyle Hansen 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
5.
Hansen, Kyle, Sandeep Kumar, Kathryn Logronio, et al.. (2021). COM902, a novel therapeutic antibody targeting TIGIT augments anti-tumor T cell function in combination with PVRIG or PD-1 pathway blockade. Cancer Immunology Immunotherapy. 70(12). 3525–3540. 29 indexed citations
7.
Li, Jessica, Sarah Whelan, Maya F. Kotturi, et al.. (2020). PVRIG is a novel natural killer cell immune checkpoint receptor in acute myeloid leukemia. Haematologica. 106(12). 3115–3124. 23 indexed citations
8.
Morisot, Nadège, Tina Davis, Kyle Hansen, et al.. (2020). 127 Preclinical evaluation of NKX019, a CD19-targeting CAR NK Cell. Regular and Young Investigator Award Abstracts. A78–A78. 5 indexed citations
9.
Whelan, Sarah, Eran Ophir, Maya F. Kotturi, et al.. (2019). PVRIG and PVRL2 Are Induced in Cancer and Inhibit CD8+ T-cell Function. Cancer Immunology Research. 7(2). 257–268. 125 indexed citations
10.
Shen, Simon P., Hua-an Tseng, Kyle Hansen, et al.. (2018). Automatic Cell Segmentation by Adaptive Thresholding (ACSAT) for Large-Scale Calcium Imaging Datasets. eNeuro. 5(5). ENEURO.0056–18.2018. 18 indexed citations
11.
Hansen, Kyle, Ali Mohammed, Hua-an Tseng, et al.. (2018). Mild Blast Injury Produces Acute Changes in Basal Intracellular Calcium Levels and Activity Patterns in Mouse Hippocampal Neurons. Journal of Neurotrauma. 35(13). 1523–1536. 12 indexed citations
12.
Tsuno, Yusuke, et al.. (2018). Inhalation Frequency Controls Reformatting of Mitral/Tufted Cell Odor Representations in the Olfactory Bulb. Journal of Neuroscience. 38(9). 2189–2206. 23 indexed citations
13.
Liang, Spencer C., Ofer Levy, Sudipto Ganguly, et al.. (2017). Discovery of COM701, a therapeutic antibody targeting the novel immune checkpoint PVRIG, for the treatment of cancer.. Journal of Clinical Oncology. 35(15_suppl). 3074–3074. 5 indexed citations
14.
Economo, Michael N., Kyle Hansen, & Matt Wachowiak. (2016). Control of Mitral/Tufted Cell Output by Selective Inhibition among Olfactory Bulb Glomeruli. Neuron. 91(2). 397–411. 58 indexed citations
15.
Yusuf, Isharat, Robin Kageyama, Laurel A. Monticelli, et al.. (2010). Germinal Center T Follicular Helper Cell IL-4 Production Is Dependent on Signaling Lymphocytic Activation Molecule Receptor (CD150). The Journal of Immunology. 185(1). 190–202. 337 indexed citations
16.
Poholek, Amanda C., Kyle Hansen, Danelle S. Eto, et al.. (2010). In Vivo Regulation of Bcl6 and T Follicular Helper Cell Development. The Journal of Immunology. 185(1). 313–326. 228 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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