Waleed Haso

3.1k total citations · 2 hit papers
10 papers, 2.3k citations indexed

About

Waleed Haso is a scholar working on Oncology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Waleed Haso has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Immunology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Waleed Haso's work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). Waleed Haso is often cited by papers focused on CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). Waleed Haso collaborates with scholars based in United States, Canada and Germany. Waleed Haso's co-authors include Rimas J. Orentas, Terry J. Fry, Jack F. Shern, Adrienne H. Long, Kelsey M. Wanhainen, M. Eric Kohler, George H. Patterson, Maria Ingaramo, Alec J. Walker and Crystal L. Mackall and has published in prestigious journals such as Nature Medicine, Blood and Cancer Research.

In The Last Decade

Waleed Haso

10 papers receiving 2.2k citations

Hit Papers

4-1BB costimulation ameliorates T cell exhaustion induced... 2012 2026 2016 2021 2015 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waleed Haso United States 8 2.1k 776 738 648 625 10 2.3k
Nicholas Tschernia United States 7 2.1k 1.0× 558 0.7× 614 0.8× 656 1.0× 590 0.9× 20 2.3k
Terence J. Purdon United States 22 2.9k 1.3× 1.0k 1.3× 1.1k 1.5× 837 1.3× 963 1.5× 41 3.1k
Antonio Di Stasi United States 16 2.2k 1.0× 648 0.8× 954 1.3× 916 1.4× 887 1.4× 42 2.8k
M. Eric Kohler United States 11 1.6k 0.8× 529 0.7× 799 1.1× 395 0.6× 507 0.8× 32 1.8k
Rebecca Gardner United States 13 1.8k 0.9× 504 0.6× 446 0.6× 592 0.9× 514 0.8× 23 2.1k
Sang M. Nguyen United States 10 1.2k 0.6× 437 0.6× 370 0.5× 376 0.6× 418 0.7× 16 1.4k
Daniel Sommermeyer United States 25 3.4k 1.6× 1.1k 1.4× 1.5k 2.0× 1.1k 1.6× 1.2k 1.9× 39 3.8k
Christopher C. Kloss United States 11 2.2k 1.0× 820 1.1× 925 1.3× 679 1.0× 932 1.5× 15 2.6k
Katherine T. Marcucci United States 13 1.5k 0.7× 462 0.6× 498 0.7× 543 0.8× 503 0.8× 20 1.8k

Countries citing papers authored by Waleed Haso

Since Specialization
Citations

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

Fields of papers citing papers by Waleed Haso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waleed Haso

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

All Works

10 of 10 papers shown
1.
Qin, Haiying, Sneha Ramakrishna, Sang M. Nguyen, et al.. (2018). Preclinical Development of Bivalent Chimeric Antigen Receptors Targeting Both CD19 and CD22. Molecular Therapy — Oncolytics. 11. 127–137. 200 indexed citations
3.
Schneider, Dina, Ying Xiong, Darong Wu, et al.. (2017). A tandem CD19/CD20 CAR lentiviral vector drives on-target and off-target antigen modulation in leukemia cell lines. Journal for ImmunoTherapy of Cancer. 5(1). 203 indexed citations
4.
Qin, Haiying, Waleed Haso, Ling Zhang, et al.. (2015). Eradication of B-ALL using chimeric antigen receptor–expressing T cells targeting the TSLPR oncoprotein. Blood. 126(5). 629–639. 96 indexed citations
5.
Long, Adrienne H., Waleed Haso, Jack F. Shern, et al.. (2015). 4-1BB costimulation ameliorates T cell exhaustion induced by tonic signaling of chimeric antigen receptors. Nature Medicine. 21(6). 581–590. 1252 indexed citations breakdown →
6.
Qin, Haiying, Waleed Haso, Sang M. Nguyen, & Terry J. Fry. (2015). Preclinical Development of Bispecific Chimeric Antigen Receptor Targeting Both CD19 and CD22. Blood. 126(23). 4427–4427. 19 indexed citations
7.
Jacoby, Elad, et al.. (2015). Abstract 4705: Late ALL relapse following CD19 CAR immune-pressure demonstrates reversible pan-antigen loss. Cancer Research. 75(15_Supplement). 4705–4705. 1 indexed citations
8.
Long, Adrienne H., Waleed Haso, & Rimas J. Orentas. (2013). Lessons learned from a highly-active CD22-specific chimeric antigen receptor. OncoImmunology. 2(4). e23621–e23621. 21 indexed citations
10.
Haso, Waleed, Daniel W. Lee, Nirali N. Shah, et al.. (2012). Anti-CD22–chimeric antigen receptors targeting B-cell precursor acute lymphoblastic leukemia. Blood. 121(7). 1165–1174. 440 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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