Jon Arnason

8.3k total citations · 2 hit papers
120 papers, 3.2k citations indexed

About

Jon Arnason is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Jon Arnason has authored 120 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Oncology, 48 papers in Immunology and 40 papers in Genetics. Recurrent topics in Jon Arnason's work include CAR-T cell therapy research (53 papers), Chronic Lymphocytic Leukemia Research (39 papers) and Lymphoma Diagnosis and Treatment (34 papers). Jon Arnason is often cited by papers focused on CAR-T cell therapy research (53 papers), Chronic Lymphocytic Leukemia Research (39 papers) and Lymphoma Diagnosis and Treatment (34 papers). Jon Arnason collaborates with scholars based in United States, Germany and Israel. Jon Arnason's co-authors include Tim Sparwasser, Hermann Wagner, Christoph Loddenkemper, Jeremy S. Abramson, Jennifer Freyer, Gérard Eberl, Jochen Huehn, Katharina Lahl, Alf Hamann and Jennifer R. Brown and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Jon Arnason

112 papers receiving 3.2k citations

Hit Papers

Selective depletion of Foxp3+ regulatory T cells induces ... 2007 2026 2013 2019 2007 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Arnason United States 27 1.6k 1.4k 988 756 615 120 3.2k
Javier Briones Spain 35 1.9k 1.2× 1.7k 1.2× 1.3k 1.4× 957 1.3× 831 1.4× 161 4.5k
Mikhail Roshal United States 27 2.3k 1.5× 862 0.6× 532 0.5× 439 0.6× 1.4k 2.3× 103 4.3k
Daniel J. Landsburg United States 23 2.4k 1.5× 721 0.5× 908 0.9× 408 0.5× 722 1.2× 136 3.3k
Sarah Nikiforow United States 31 1.8k 1.1× 1.4k 1.0× 282 0.3× 354 0.5× 463 0.8× 152 3.4k
Anita Schmitt Germany 33 1.7k 1.1× 1.6k 1.2× 176 0.2× 418 0.6× 1.0k 1.7× 142 3.5k
Kevin A. Hay Canada 19 3.2k 2.0× 770 0.6× 460 0.5× 419 0.6× 761 1.2× 42 3.9k
Dirk Nagorsen United States 33 2.7k 1.7× 2.3k 1.7× 682 0.7× 285 0.4× 961 1.6× 88 4.4k
Justin Kline United States 33 2.8k 1.8× 3.6k 2.6× 576 0.6× 383 0.5× 1.2k 1.9× 146 5.5k
Maher K. Gandhi Australia 35 2.5k 1.5× 1.7k 1.3× 1.5k 1.5× 347 0.5× 690 1.1× 133 4.5k
Constance M. Yuan United States 31 4.2k 2.7× 1.7k 1.2× 1.2k 1.2× 1.2k 1.6× 1.5k 2.4× 121 5.9k

Countries citing papers authored by Jon Arnason

Since Specialization
Citations

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

Fields of papers citing papers by Jon Arnason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Arnason

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

All Works

20 of 20 papers shown
1.
Arnason, Jon, Matthew J. Matasar, Stefano Luminari, et al.. (2025). Early clearance of circulating tumor DNA and association with odronextamab response in relapsed/refractory FL and DLBCL. Blood Advances. 9(23). 6130–6140.
2.
Bindal, Poorva, Caitlin A. Trottier, Laura E. Dodge, et al.. (2024). Early versus late infectious complications following chimeric antigen receptor-modified T-cell therapy. Leukemia & lymphoma. 66(4). 702–712. 3 indexed citations
3.
Arnason, Jon, et al.. (2024). CARs for lymphoma. Best Practice & Research Clinical Haematology. 37(4). 101601–101601.
4.
Abramson, Jeremy S., Scott R. Solomon, Jon Arnason, et al.. (2024). Plain language summary of the TRANSFORM study primary analysis results: liso-cell as a second treatment regimen for large B-cell lymphoma following failure of the first treatment regimen. Future Oncology. 20(21). 1455–1465. 1 indexed citations
7.
Ahrendsen, Jared T., Kartik Sehgal, Sasmit Sarangi, et al.. (2021). Progressive Multifocal Leukoencephalopathy After Chimeric Antigen Receptor T-Cell Therapy for Recurrent Non-Hodgkin Lymphoma. Journal of Hematology. 10(5). 212–216. 5 indexed citations
8.
Tyekucheva, Svitlana, Zixu Wang, Alexander R. Vartanov, et al.. (2021). A T cell inflammatory phenotype is associated with autoimmune toxicity of the PI3K inhibitor duvelisib in chronic lymphocytic leukemia. Leukemia. 36(3). 723–732. 14 indexed citations
9.
Abramson, Jeremy S., Maria Lia Palomba, Leo I. Gordon, et al.. (2019). Pivotal Safety and Efficacy Results from Transcend NHL 001, a Multicenter Phase 1 Study of Lisocabtagene Maraleucel (liso-cel) in Relapsed/Refractory (R/R) Large B Cell Lymphomas. Blood. 134(Supplement_1). 241–241. 89 indexed citations
10.
Davids, Matthew S., Haesook T. Kim, Alexandra Savell, et al.. (2018). Umbralisib in combination with ibrutinib in patients with relapsed or refractory chronic lymphocytic leukaemia or mantle cell lymphoma: a multicentre phase 1–1b study. The Lancet Haematology. 6(1). e38–e47. 90 indexed citations
11.
Jain, Salvia, Abigail Washington, Rebecca Karp Leaf, et al.. (2017). Decitabine Priming Enhances Mucin 1 Inhibition Mediated Disruption of Redox Homeostasis in Cutaneous T-Cell Lymphoma. Molecular Cancer Therapeutics. 16(10). 2304–2314. 10 indexed citations
12.
13.
Lampson, Benjamin L., Haesook T. Kim, Matthew S. Davids, et al.. (2017). Efficacy Results of a Phase 2 Trial Evaluating Idelalisib Plus Ofatumumab in Patients with Previously Untreated Chronic Lymphocytic Leukemia. Blood. 130. 1734–1734. 4 indexed citations
15.
Arnason, Jon & Jennifer R. Brown. (2017). Targeting B Cell Signaling in Chronic Lymphocytic Leukemia. Current Oncology Reports. 19(9). 61–61. 14 indexed citations
16.
Lampson, Benjamin L., Siddha Kasar, Tiago R. Matos, et al.. (2016). Idelalisib given front-line for treatment of chronic lymphocytic leukemia causes frequent immune-mediated hepatotoxicity. Blood. 128(2). 195–203. 227 indexed citations
17.
Jain, Salvia, Dina Stroopinsky, Yin Li, et al.. (2015). Mucin 1 is a potential therapeutic target in cutaneous T-cell lymphoma. Blood. 126(3). 354–362. 28 indexed citations
18.
Stroopinsky, Dina, Jacalyn Rosenblatt, Keisuke Ito, et al.. (2013). MUC1 Is a Potential Target for the Treatment of Acute Myeloid Leukemia Stem Cells. Cancer Research. 73(17). 5569–5579. 41 indexed citations
19.
Levy, Benjamin, Jon Arnason, & James B. Bussel. (2008). The use of second-generation thrombopoietic agents for chemotherapy-induced thrombocytopenia. Current Opinion in Oncology. 20(6). 690–696. 14 indexed citations
20.
Lahl, Katharina, Christoph Loddenkemper, Jennifer Freyer, et al.. (2007). Selective depletion of Foxp3+ regulatory T cells induces a scurfy-like disease. The Journal of Experimental Medicine. 204(1). 57–63. 722 indexed citations breakdown →

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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