Aaron Y. Chang

1.2k total citations
18 papers, 709 citations indexed

About

Aaron Y. Chang is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Aaron Y. Chang has authored 18 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Aaron Y. Chang's work include CAR-T cell therapy research (11 papers), Immunotherapy and Immune Responses (11 papers) and Phagocytosis and Immune Regulation (3 papers). Aaron Y. Chang is often cited by papers focused on CAR-T cell therapy research (11 papers), Immunotherapy and Immune Responses (11 papers) and Phagocytosis and Immune Regulation (3 papers). Aaron Y. Chang collaborates with scholars based in United States, Netherlands and Canada. Aaron Y. Chang's co-authors include David A. Scheinberg, Ron S. Gejman, Claire Y. Oh, Tao Dao, Elliott J. Brea, Casey A. Jarvis, Melissa Mathias, Andrew W. Tai, A. Ari Hakimi and Takamasa Inoue and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.

In The Last Decade

Aaron Y. Chang

18 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Y. Chang United States	13	405	336	249	93	58	18	709
Jason M. Redman United States	16	571 1.4×	583 1.7×	284 1.1×	117 1.3×	33 0.6×	53	1.0k
Xiulan Qi United States	10	173 0.4×	467 1.4×	200 0.8×	49 0.5×	28 0.5×	16	786
Ruby Alonso Cuba	14	209 0.5×	422 1.3×	152 0.6×	81 0.9×	19 0.3×	22	661
Georgina H. Cornish United Kingdom	15	253 0.6×	572 1.7×	305 1.2×	43 0.5×	68 1.2×	25	882
Carl‐Magnus Högerkorp Sweden	11	105 0.3×	309 0.9×	264 1.1×	82 0.9×	81 1.4×	16	662
Yvette Robbins United States	14	614 1.5×	675 2.0×	187 0.8×	25 0.3×	24 0.4×	29	991
Tomoaki Kuwaki Japan	11	246 0.6×	417 1.2×	359 1.4×	84 0.9×	20 0.3×	18	977
Daniëlle Krijgsman Netherlands	14	317 0.8×	450 1.3×	157 0.6×	26 0.3×	29 0.5×	22	688
Shajedul Islam Japan	7	367 0.9×	309 0.9×	219 0.9×	40 0.4×	34 0.6×	15	783
Iñigo Tirapu Spain	17	457 1.1×	559 1.7×	213 0.9×	44 0.5×	22 0.4×	32	888

Countries citing papers authored by Aaron Y. Chang

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Y. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Y. Chang. 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 Aaron Y. Chang. The network helps show where Aaron Y. Chang may publish in the future.

Co-authorship network of co-authors of Aaron Y. Chang

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

All Works

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18 of 18 papers shown

Dao, Tao, Guangyan Xiong, Tatyana Korontsvit, et al.. (2023). A dual-receptor T-cell platform with Ab-TCR and costimulatory receptor achieves specificity and potency against AML. Blood. 143(6). 507–521. 18 indexed citations

Gardner, Thomas J., Christopher M. Bourne, Dinali Wijewarnasuriya, et al.. (2021). Engineering CAR-T cells to activate small-molecule drugs in situ. Nature Chemical Biology. 18(2). 216–225. 58 indexed citations

Chang, Aaron Y., P. Ya. Tishchenko, Heather Wheeler, et al.. (2021). Modulation of SF3B1 in the pre-mRNA spliceosome induces a RIG-I-dependent type I IFN response. Journal of Biological Chemistry. 297(5). 101277–101277. 11 indexed citations

Gejman, Ron S., Martin G. Klatt, Aaron Y. Chang, et al.. (2020). Identification of the Targets of T-cell Receptor Therapeutic Agents and Cells by Use of a High-Throughput Genetic Platform. Cancer Immunology Research. 8(5). 672–684. 26 indexed citations

Oh, Claire Y., Martin G. Klatt, Christopher M. Bourne, et al.. (2019). ALK and RET Inhibitors Promote HLA Class I Antigen Presentation and Unmask New Antigens within the Tumor Immunopeptidome. Cancer Immunology Research. 7(12). 1984–1997. 31 indexed citations

Lin, David L., et al.. (2019). The ER Membrane Protein Complex Promotes Biogenesis of Dengue and Zika Virus Non-structural Multi-pass Transmembrane Proteins to Support Infection. Cell Reports. 27(6). 1666–1674.e4. 64 indexed citations

Gejman, Ron S., et al.. (2018). Rejection of immunogenic tumor clones is limited by clonal fraction. eLife. 7. 79 indexed citations

Macal, Mónica, Yeara Jo, Simone Dallari, et al.. (2018). Self-Renewal and Toll-like Receptor Signaling Sustain Exhausted Plasmacytoid Dendritic Cells during Chronic Viral Infection. Immunity. 48(4). 730–744.e5. 38 indexed citations

Chang, Aaron Y., Tao Dao, Ron S. Gejman, et al.. (2017). A therapeutic T cell receptor mimic antibody targets tumor-associated PRAME peptide/HLA-I antigens. Journal of Clinical Investigation. 127(7). 2705–2718. 68 indexed citations

10.

Mathias, Melissa, Jonathan T. Sockolosky, Aaron Y. Chang, et al.. (2017). CD47 blockade enhances therapeutic activity of TCR mimic antibodies to ultra-low density cancer epitopes. Leukemia. 31(10). 2254–2257. 11 indexed citations

11.

Mondello, Patrizia, Elliott J. Brea, Elisa de Stanchina, et al.. (2017). Panobinostat acts synergistically with ibrutinib in diffuse large B cell lymphoma cells with MyD88 L265 mutations. JCI Insight. 2(6). e90196–e90196. 35 indexed citations

12.

Brea, Elliott J., Claire Y. Oh, Eusebio Manchado, et al.. (2016). Kinase Regulation of Human MHC Class I Molecule Expression on Cancer Cells. Cancer Immunology Research. 4(11). 936–947. 128 indexed citations

13.

Chang, Aaron Y., Ron S. Gejman, Elliott J. Brea, et al.. (2016). Opportunities and challenges for TCR mimic antibodies in cancer therapy. Expert Opinion on Biological Therapy. 16(8). 979–987. 46 indexed citations

14.

Mathias, Melissa, Jonathan T. Sockolosky, Aaron Y. Chang, et al.. (2016). CD47 Blockade Enhances Therapeutic Activity of TCR Mimic Antibodies to Ultra-Low Density Cancer Epitopes through Cytokine Feed Forward Mechanisms. Blood. 128(22). 4048–4048. 1 indexed citations

15.

Mathias, Melissa, Jonathan T. Sockolosky, Aaron Y. Chang, et al.. (2016). CD47 Blockade Enhances Therapeutic Activity of TCR Mimic Antibodies to Ultra-Low Density Cancer Epitopes. Clinical Lymphoma Myeloma & Leukemia. 16. S8–S8. 1 indexed citations

16.

Dubrovsky, Leonid, Tao Dao, Ron S. Gejman, et al.. (2015). T cell receptor mimic antibodies for cancer therapy. OncoImmunology. 5(1). e1049803–e1049803. 36 indexed citations

17.

Chang, Aaron Y., Tao Dao, Andrew Scott, et al.. (2015). A Therapeutic TCR Mimic Monoclonal Antibody for Intracellular PRAME Protein in Leukemias. Blood. 126(23). 2527–2527. 6 indexed citations

18.

Yao, Xiaoqiang, Aaron Y. Chang, Emile L. Boulpaep, A S Segal, & Gary V. Désir. (1996). Molecular cloning of a glibenclamide-sensitive, voltage-gated potassium channel expressed in rabbit kidney.. Journal of Clinical Investigation. 97(11). 2525–2533. 52 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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