David Spaner

7.7k total citations · 1 hit paper
123 papers, 4.7k citations indexed

About

David Spaner is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, David Spaner has authored 123 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 50 papers in Immunology and 39 papers in Pathology and Forensic Medicine. Recurrent topics in David Spaner's work include Chronic Lymphocytic Leukemia Research (57 papers), Lymphoma Diagnosis and Treatment (39 papers) and Immune Cell Function and Interaction (21 papers). David Spaner is often cited by papers focused on Chronic Lymphocytic Leukemia Research (57 papers), Lymphoma Diagnosis and Treatment (39 papers) and Immune Cell Function and Interaction (21 papers). David Spaner collaborates with scholars based in Canada, United States and China. David Spaner's co-authors include Yonghong Shi, Mark E. Dudley, James C. Yang, James N. Kochenderfer, Robert O. Carpenter, Marybeth S. Hughes, Steven A. Feldman, Giao Q. Phan, Richard M. Sherry and Steven A. Rosenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

David Spaner

119 papers receiving 4.6k citations

Hit Papers

B-cell depletion and remissions of malignancy along with ... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Spaner Canada 35 1.9k 1.8k 1.4k 1.4k 954 123 4.7k
Eric Eldering Netherlands 46 1.5k 0.8× 2.5k 1.4× 2.2k 1.5× 2.5k 1.9× 1.3k 1.3× 170 6.0k
Kamal D. Puri United States 33 872 0.5× 2.0k 1.1× 2.1k 1.4× 1.3k 1.0× 692 0.7× 52 4.9k
Marc Schmitz Germany 46 2.8k 1.5× 3.2k 1.8× 2.0k 1.4× 851 0.6× 264 0.3× 173 6.4k
Steven H. Bernstein United States 34 1.9k 1.0× 1.7k 0.9× 1.4k 1.0× 1.1k 0.8× 1.9k 2.0× 109 5.1k
D Delia Italy 31 1.1k 0.6× 1.1k 0.6× 2.5k 1.7× 793 0.6× 498 0.5× 62 4.6k
Karen E. Pollok United States 38 1.7k 0.9× 1.6k 0.9× 2.7k 1.9× 677 0.5× 216 0.2× 142 5.6k
Cornelius Miething Germany 28 1.5k 0.8× 1.2k 0.7× 3.0k 2.1× 519 0.4× 435 0.5× 68 5.1k
Alessandra Cesano United States 34 1.7k 0.9× 1.6k 0.9× 1.0k 0.7× 433 0.3× 598 0.6× 172 4.1k
Yangqiu Li China 36 2.2k 1.1× 2.2k 1.2× 2.2k 1.5× 445 0.3× 301 0.3× 294 5.5k
Biagio Eugenio Leone Italy 27 1.4k 0.7× 1.5k 0.8× 992 0.7× 455 0.3× 434 0.5× 86 4.4k

Countries citing papers authored by David Spaner

Since Specialization
Citations

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

Fields of papers citing papers by David Spaner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Spaner

This figure shows the co-authorship network connecting the top 25 collaborators of David Spaner. A scholar is included among the top collaborators of David Spaner 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 David Spaner. David Spaner 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.
Spaner, David, et al.. (2023). Paradoxical activation of chronic lymphocytic leukemia cells by ruxolitinib in vitro and in vivo. Frontiers in Oncology. 13. 1043694–1043694. 4 indexed citations
2.
Spaner, David. (2021). O-GlcNAcylation in Chronic Lymphocytic Leukemia and Other Blood Cancers. Frontiers in Immunology. 12. 772304–772304. 14 indexed citations
3.
Shi, Yonghong, et al.. (2019). Ibrutinib reprograms the glucocorticoid receptor in chronic lymphocytic leukemia cells. Leukemia. 33(7). 1650–1662. 10 indexed citations
4.
Spaner, David, et al.. (2018). Association of blood IgG with tumor necrosis factor-alpha and clinical course of chronic lymphocytic leukemia. EBioMedicine. 35. 222–232. 10 indexed citations
5.
Sun, Liankun, et al.. (2017). PPAR-delta modulates membrane cholesterol and cytokine signaling in malignant B cells. Leukemia. 32(1). 184–193. 26 indexed citations
6.
Wong, Karrie, et al.. (2016). Characterization of CD200 Ectodomain Shedding. PLoS ONE. 11(4). e0152073–e0152073. 19 indexed citations
7.
Shi, Yonghong, Liankun Sun, Reginald M. Gorczynski, et al.. (2016). PPAR-delta promotes survival of breast cancer cells in harsh metabolic conditions. Oncogenesis. 5(6). e232–e232. 65 indexed citations
8.
Chen, Zhiqi, et al.. (2013). Ectodomain shedding of CD200 from the B-CLL cell surface is regulated by ADAM28 expression. Leukemia Research. 37(7). 816–821. 24 indexed citations
9.
Tung, Stephanie, Yonghong Shi, Mark D. Minden, et al.. (2013). PPARα and fatty acid oxidation mediate glucocorticoid resistance in chronic lymphocytic leukemia. Blood. 122(6). 969–980. 82 indexed citations
10.
Li, Youjun, et al.. (2013). Insertional activation of myb by F-MuLV in SCID mice induces myeloid leukemia. International Journal of Oncology. 43(1). 169–176. 5 indexed citations
11.
Wong, Karrie, Fred Brenneman, Alden Chesney, David Spaner, & Reginald M. Gorczynski. (2012). Soluble CD200 Is Critical to Engraft Chronic Lymphocytic Leukemia Cells in Immunocompromised Mice. Cancer Research. 72(19). 4931–4943. 51 indexed citations
12.
Felizardo, Tania C., Carole Evelegh, David Spaner, et al.. (2011). Differential immune responses mediated by adenovirus- and lentivirus-transduced DCs in a HER-2/neu overexpressing tumor model. Gene Therapy. 18(10). 986–995. 12 indexed citations
13.
Spaner, David, Ronan Foley, Jacques Galipeau, & Jonathan L. Bramson. (2008). Obstacles to effective Toll-like receptor agonist therapy for hematologic malignancies. Oncogene. 27(2). 208–217. 13 indexed citations
14.
Hicks, Lisa K., Rena Buckstein, Joy Mangel, et al.. (2008). Rituximab purging and maintenance combined with auto-SCT: long-term molecular remissions and prolonged hypogammaglobulinemia in relapsed follicular lymphoma. Bone Marrow Transplantation. 43(9). 701–708. 56 indexed citations
15.
Chanan‐Khan, Asher, Kena C. Miller, Laurie Musial, et al.. (2006). Clinical Efficacy of Lenalidomide in Patients With Relapsed or Refractory Chronic Lymphocytic Leukemia: Results of a Phase II Study. Journal of Clinical Oncology. 24(34). 5343–5349. 314 indexed citations
16.
Tomić, Jelena, et al.. (2006). Sensitization of IL-2 Signaling through TLR-7 Enhances B Lymphoma Cell Immunogenicity. The Journal of Immunology. 176(6). 3830–3839. 41 indexed citations
17.
Shi, Yonghong, Jelena Tomić, David Cervi, et al.. (2004). Effect of Serum and Antioxidants on the Immunogenicity of Protein Kinase C-Activated Chronic Lymphocytic Leukemia Cells. Journal of Immunotherapy. 28(1). 28–39. 19 indexed citations
19.
Spaner, David, et al.. (2004). Effect of IL‐2Rβ‐binding cytokines on costimulatory properties of chronic lymphocytic leukaemia cells: implications for immunotherapy. British Journal of Haematology. 127(5). 531–542. 10 indexed citations
20.
Abraham, Jacinth, David Spaner, & Samuel Benchimol. (1999). Phosphorylation of p53 protein in response to ionizing radiation occurs at multiple sites in both normal and DNA-PK deficient cells. Oncogene. 18(8). 1521–1527. 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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