Shaun Cordoba

840 total citations
20 papers, 379 citations indexed

About

Shaun Cordoba is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Shaun Cordoba has authored 20 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Shaun Cordoba's work include CAR-T cell therapy research (15 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Virus-based gene therapy research (3 papers). Shaun Cordoba is often cited by papers focused on CAR-T cell therapy research (15 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Virus-based gene therapy research (3 papers). Shaun Cordoba collaborates with scholars based in United Kingdom, Australia and Netherlands. Shaun Cordoba's co-authors include Martin Pulé, Geoffrey W. McCaughan, Simon Thomas, Shimobi Onuoha, Mark D. Gorrell, Paul Haber, Devanshi Seth, Christopher G. Davis, Brian Philip and Ekaterini Kotsopoulou and has published in prestigious journals such as Blood, Cancer Research and Scientific Reports.

In The Last Decade

Shaun Cordoba

19 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaun Cordoba United Kingdom 10 232 103 82 81 75 20 379
Ronan Thibaut France 6 237 1.0× 137 1.3× 195 2.4× 46 0.6× 68 0.9× 7 428
Lauren A. Licata United States 9 243 1.0× 144 1.4× 135 1.6× 77 1.0× 59 0.8× 10 425
Vincent Armenio United States 8 245 1.1× 65 0.6× 73 0.9× 44 0.5× 64 0.9× 13 310
Hongjiu Dai China 5 183 0.8× 97 0.9× 145 1.8× 23 0.3× 44 0.6× 8 326
Junfeng Chu China 11 214 0.9× 129 1.3× 155 1.9× 17 0.2× 21 0.3× 33 432
Joel G. Rurik United States 6 94 0.4× 144 1.4× 80 1.0× 49 0.6× 31 0.4× 9 303
Jiazhen Cui China 11 312 1.3× 139 1.3× 118 1.4× 76 0.9× 79 1.1× 39 423
Tsung-Wei Chen Taiwan 13 265 1.1× 190 1.8× 178 2.2× 26 0.3× 16 0.2× 28 540
Jing‐biao Wu China 12 153 0.7× 228 2.2× 108 1.3× 11 0.1× 38 0.5× 17 494

Countries citing papers authored by Shaun Cordoba

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Cordoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Cordoba

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Cordoba. A scholar is included among the top collaborators of Shaun Cordoba 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 Shaun Cordoba. Shaun Cordoba 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.
Hotblack, Alastair, Reyisa Bughda, Anna Bulek, et al.. (2024). Designer Small-Molecule Control System Based on Minocycline-Induced Disruption of Protein–Protein Interaction. ACS Chemical Biology. 19(2). 308–324. 4 indexed citations
2.
Robson, Mathew, Evangelia Kokalaki, Francesco Nannini, et al.. (2023). Enhancing CAR T-cell Therapy Using Fab-Based Constitutively Heterodimeric Cytokine Receptors. Cancer Immunology Research. 11(9). 1203–1221. 6 indexed citations
3.
Robson, Mathew, Christopher Allen, James Sillibourne, et al.. (2023). Novel Fas-TNFR chimeras that prevent Fas ligand-mediated kill and signal synergistically to enhance CAR T cell efficacy. Molecular Therapy — Nucleic Acids. 32. 603–621. 4 indexed citations
4.
Sillibourne, James, Giulia Agliardi, Christopher Allen, et al.. (2022). A Compact and Simple Method of Achieving Differential Transgene Expression by Exploiting Translational Readthrough. BioTechniques. 72(4). 143–154. 1 indexed citations
5.
Hotblack, Alastair, Evangelia Kokalaki, Gordon Weng-Kit Cheung, et al.. (2021). Tunable control of CAR T cell activity through tetracycline mediated disruption of protein–protein interaction. Scientific Reports. 11(1). 21902–21902. 18 indexed citations
6.
Peruta, Marco Della, Mathew Robson, Philip Fei Wu, et al.. (2020). Abstract 1070: AUTO7: Anti-PSMA humanized CAR T-cell with improved persistence and resistance to tumor microenvironment for metastatic castration resistant prostate cancer (mCRPC). Cancer Research. 80(16_Supplement). 1070–1070. 1 indexed citations
7.
Ferrari, Mathieu, Vania Baldan, Reyisa Bughda, et al.. (2020). Abstract 2183: Targeting TRBC1 and 2 for the treatment of T cell lymphomas. Cancer Research. 80(16_Supplement). 2183–2183. 5 indexed citations
8.
Popat, Rakesh, Sonja Zweegman, Jim Cavet, et al.. (2019). Phase 1 First-in-Human Study of AUTO2, the First Chimeric Antigen Receptor (CAR) T Cell Targeting APRIL for Patients with Relapsed/Refractory Multiple Myeloma (RRMM). Blood. 134(Supplement_1). 3112–3112. 45 indexed citations
10.
Kokalaki, Evangelia, Biao Ma, Simon Thomas, et al.. (2019). Generation of a Highly Sensitive CD22 CAR. Blood. 134(Supplement_1). 5747–5747. 1 indexed citations
11.
Philip, Brian, Christopher G. Davis, Shimobi Onuoha, et al.. (2018). A Rapamycin-Activated Caspase 9-Based Suicide Gene. Molecular Therapy. 26(5). 1266–1276. 72 indexed citations
12.
Onuoha, Shimobi, Mathieu Ferrari, Anna Bulek, et al.. (2018). Structure Guided Engineering of Highly Specific Chimeric Antigen Receptors for the Treatment of T Cell Lymphomas. Blood. 132(Supplement 1). 1661–1661. 8 indexed citations
14.
Baldan, Vania, Evangelia Kokalaki, Shimobi Onuoha, et al.. (2017). A Dominant Negative SHP-2 Which Abrogates PD-1 Signalling Pathways and Restores Function of Cytotoxic CAR T Cells. Blood. 130. 3190–3190. 5 indexed citations
15.
Thomas, Simon, Vania Baldan, Evangelia Kokalaki, et al.. (2017). A DUAL TARGETING CAR‐T CELL APPROACH FOR THE TREATMENT OF B CELL MALIGNANCIES. Hematological Oncology. 35(S2). 261–261. 1 indexed citations
16.
Wang, Xin, Lauren E. Holz, Sumaiya Chowdhury, et al.. (2016). The pro‐fibrotic role of dipeptidyl peptidase 4 in carbon tetrachloride‐induced experimental liver injury. Immunology and Cell Biology. 95(5). 443–453. 33 indexed citations
17.
Wang, Chuanmin, Shaun Cordoba, Min Hu, et al.. (2011). Spontaneous acceptance of mouse kidney allografts is associated with increased Foxp3 expression and differences in the B and T cell compartments. Transplant Immunology. 24(3). 149–156. 32 indexed citations
18.
Seth, Devanshi, Mark D. Gorrell, Shaun Cordoba, Geoffrey W. McCaughan, & Paul Haber. (2006). Intrahepatic gene expression in human alcoholic hepatitis. Journal of Hepatology. 45(2). 306–320. 56 indexed citations
19.
Cordoba, Shaun, Chuanmin Wang, Rohan B. H. Williams, et al.. (2006). Gene array analysis of a rat model of liver transplant tolerance identifies increased complement C3 and the STAT-1/IRF-1 pathway during tolerance induction. Liver Transplantation. 12(4). 636–643. 15 indexed citations
20.
Wang, Chuanmin, Li J, Shaun Cordoba, et al.. (2005). Posttransplant Interleukin-4 Treatment Converts Rat Liver Allograft Tolerance to Rejection. Transplantation. 79(9). 1116–1120. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026