Leah Alabanza

911 total citations
16 papers, 730 citations indexed

About

Leah Alabanza is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Leah Alabanza has authored 16 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Leah Alabanza's work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Leah Alabanza is often cited by papers focused on CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Leah Alabanza collaborates with scholars based in United States, Japan and France. Leah Alabanza's co-authors include Margaret S. Bynoe, Claudia Geldres, James N. Kochenderfer, Melissa A. Pegues, Shicheng Yang, Stuart A. Sievers, J.J.W. Wiltzius, Victoria Shi, Jeffrey H. Mills and Cynthia Mueller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Leah Alabanza

16 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leah Alabanza United States 10 481 244 211 178 109 16 730
Lauren Giuffrida Australia 12 893 1.9× 379 1.6× 705 3.3× 213 1.2× 172 1.6× 14 1.3k
Monica Patanè Italy 11 310 0.6× 238 1.0× 171 0.8× 108 0.6× 43 0.4× 25 704
Ashley Woods United States 10 210 0.4× 290 1.2× 88 0.4× 97 0.5× 62 0.6× 17 543
Olaf Hardt Germany 12 250 0.5× 319 1.3× 81 0.4× 98 0.6× 71 0.7× 33 616
Briony L. Gliddon Australia 15 92 0.2× 399 1.6× 89 0.4× 41 0.2× 46 0.4× 23 764
Cheryl D’Souza Canada 13 147 0.3× 251 1.0× 219 1.0× 15 0.1× 48 0.4× 15 687
Wen‐Hao Hsu Taiwan 12 261 0.5× 395 1.6× 175 0.8× 39 0.2× 17 0.2× 23 800
Johanna Theruvath United States 8 390 0.8× 223 0.9× 318 1.5× 179 1.0× 96 0.9× 22 714
Renbao Chang China 7 210 0.4× 1.2k 4.7× 185 0.9× 29 0.2× 82 0.8× 7 1.3k
Sofiane Saada France 13 163 0.3× 148 0.6× 189 0.9× 39 0.2× 13 0.1× 21 481

Countries citing papers authored by Leah Alabanza

Since Specialization
Citations

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

Fields of papers citing papers by Leah Alabanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Alabanza

This figure shows the co-authorship network connecting the top 25 collaborators of Leah Alabanza. A scholar is included among the top collaborators of Leah Alabanza 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 Leah Alabanza. Leah Alabanza 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
1.
Alabanza, Leah, Ying Xiong, Bang K. Vu, et al.. (2022). Armored BCMA CAR T Cells Eliminate Multiple Myeloma and Are Resistant to the Suppressive Effects of TGF-β. Frontiers in Immunology. 13. 832645–832645. 41 indexed citations
2.
Webster, Brian, Ying Xiong, Peirong Hu, et al.. (2021). Self-driving armored CAR-T cells overcome a suppressive milieu and eradicate CD19+ Raji lymphoma in preclinical models. Molecular Therapy. 29(9). 2691–2706. 26 indexed citations
3.
Schneider, Dina, Ying Xiong, Darong Wu, et al.. (2021). Trispecific CD19-CD20-CD22–targeting duoCAR-T cells eliminate antigen-heterogeneous B cell tumors in preclinical models. Science Translational Medicine. 13(586). 100 indexed citations
4.
Alabanza, Leah, Bang K. Vu, Darong Wu, et al.. (2020). A Fully-Human Armored BCMA CAR Boosts Function of CD4+ CAR-T Cells and Resists TGF-β Suppression in Pre-Clinical Models of Multiple Myeloma. Blood. 136(Supplement 1). 37–38. 5 indexed citations
5.
Alabanza, Leah, Melissa A. Pegues, Claudia Geldres, et al.. (2017). Function of Novel Anti-CD19 Chimeric Antigen Receptors with Human Variable Regions Is Affected by Hinge and Transmembrane Domains. Molecular Therapy. 25(11). 2452–2465. 269 indexed citations
6.
Alabanza, Leah, Melissa A. Pegues, Claudia Geldres, Victoria Shi, & James N. Kochenderfer. (2016). 74. The Impact of Different Hinge and Transmembrane Components on the Function of a Novel Fully-Human Anti-CD19 Chimeric Antigen Receptor. Molecular Therapy. 24. S32–S33. 2 indexed citations
7.
Alabanza, Leah, Sacha Gnjatic, Nina Bhardwaj, & Joshua Brody. (2014). Intratumoral checkpoint subversion as a strategy for minimizing adverse effects. OncoImmunology. 3(1). e27580–e27580. 1 indexed citations
8.
Alabanza, Leah, Naomi L. Esmon, Charles T. Esmon, & Margaret S. Bynoe. (2013). Inhibition of Endogenous Activated Protein C Attenuates Experimental Autoimmune Encephalomyelitis by Inducing Myeloid-Derived Suppressor Cells. The Journal of Immunology. 191(7). 3764–3777. 29 indexed citations
9.
Mills, Jeffrey H., Leah Alabanza, Deeqa Mahamed, & Margaret S. Bynoe. (2012). Extracellular adenosine signaling induces CX3CL1 expression in the brain to promote experimental autoimmune encephalomyelitis. Journal of Neuroinflammation. 9(1). 193–193. 69 indexed citations
10.
Alabanza, Leah & Margaret S. Bynoe. (2012). Thrombin induces an inflammatory phenotype in a human brain endothelial cell line. Journal of Neuroimmunology. 245(1-2). 48–55. 39 indexed citations
11.
Mills, Jeffrey H., Leah Alabanza, Babette B. Weksler, et al.. (2011). Human brain endothelial cells are responsive to adenosine receptor activation. Purinergic Signalling. 7(2). 265–273. 35 indexed citations
12.
Solomon, Benjamin D., Cynthia Mueller, Wook‐Jin Chae, Leah Alabanza, & Margaret S. Bynoe. (2011). Neuropilin-1 attenuates autoreactivity in experimental autoimmune encephalomyelitis. Proceedings of the National Academy of Sciences. 108(5). 2040–2045. 86 indexed citations
13.
Alabanza, Leah & Margaret S. Bynoe. (2010). The Coagulation Factors, Thrombin and Activated Protein C, can influence the Pathogenesis of Experimental Autoimmune Encephalomyelitis (EAE) (143.26). The Journal of Immunology. 184(Supplement_1). 143.26–143.26. 1 indexed citations
14.
Saunders, Rudel A., Kazuyuki Fujii, Leah Alabanza, et al.. (2010). Altered phospholipid transfer protein gene expression and serum lipid profile by topotecan. Biochemical Pharmacology. 80(3). 362–369. 2 indexed citations
15.
Yang, Weng-Lang, Roald Ravatn, Kazuya Kudoh, Leah Alabanza, & Khew‐Voon Chin. (2009). Interaction of the regulatory subunit of the cAMP-dependent protein kinase with PATZ1 (ZNF278). Biochemical and Biophysical Research Communications. 391(3). 1318–1323. 16 indexed citations
16.
Chin, Khew‐Voon, Leah Alabanza, Kazuyuki Fujii, et al.. (2005). Application of Expression Genomics for Predicting Treatment Response in Cancer. Annals of the New York Academy of Sciences. 1058(1). 186–195. 9 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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