Rafet Başar

8.4k total citations
25 papers, 465 citations indexed

About

Rafet Başar is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Rafet Başar has authored 25 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 15 papers in Oncology and 6 papers in Hematology. Recurrent topics in Rafet Başar's work include Immune Cell Function and Interaction (14 papers), CAR-T cell therapy research (11 papers) and Single-cell and spatial transcriptomics (3 papers). Rafet Başar is often cited by papers focused on Immune Cell Function and Interaction (14 papers), CAR-T cell therapy research (11 papers) and Single-cell and spatial transcriptomics (3 papers). Rafet Başar collaborates with scholars based in United States, United Kingdom and Türkiye. Rafet Başar's co-authors include Katayoun Rezvani, May Daher, Elizabeth J. Shpall, Muharrem Müftüoğlu, Hila Shaim, Neşe Özbey, Abdullah Alsuliman, Ayşe Kubat Üzüm, Kayo Kondo and Richard E. Champlin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Rafet Başar

22 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafet Başar United States 14 248 240 118 48 43 25 465
Giulia Mesiano Italy 14 356 1.4× 346 1.4× 92 0.8× 36 0.8× 91 2.1× 23 590
Taishi Yamashita Japan 7 146 0.6× 148 0.6× 218 1.8× 102 2.1× 23 0.5× 8 448
Sasan Ghaffari Iran 10 123 0.5× 84 0.3× 117 1.0× 40 0.8× 30 0.7× 21 309
Xiu-Bao Ren China 11 292 1.2× 233 1.0× 180 1.5× 20 0.4× 38 0.9× 21 545
Weijiao Du China 5 348 1.4× 406 1.7× 92 0.8× 14 0.3× 33 0.8× 8 603
Chantal Humblet Belgium 13 132 0.5× 183 0.8× 149 1.3× 66 1.4× 21 0.5× 35 460
Troy N. Trevino United States 5 509 2.1× 653 2.7× 113 1.0× 33 0.7× 25 0.6× 6 809
Faisal Fa’ak United States 9 317 1.3× 126 0.5× 96 0.8× 10 0.2× 37 0.9× 18 464
Lukas Pawig Netherlands 6 194 0.8× 232 1.0× 159 1.3× 21 0.4× 55 1.3× 6 485
Matthias Vanderkerken Belgium 7 78 0.3× 128 0.5× 125 1.1× 79 1.6× 23 0.5× 7 378

Countries citing papers authored by Rafet Başar

Since Specialization
Citations

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

Fields of papers citing papers by Rafet Başar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafet Başar

This figure shows the co-authorship network connecting the top 25 collaborators of Rafet Başar. A scholar is included among the top collaborators of Rafet Başar 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 Rafet Başar. Rafet Başar 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.
Mulla, Abeda, David Allan, Brynn B. Duncan, et al.. (2025). Optimization of lentiviral delivery of barcoded anti-CD20 chimeric antigen receptors into rhesus macaque and human natural killer cells. Molecular Therapy — Methods & Clinical Development. 33(2). 101473–101473.
2.
3.
Nieto, Yago, Pinaki P. Banerjee, Indresh Kaur, et al.. (2023). Ex Vivo Expanded Cord Blood Natural Killer Cells Combined with Rituximab and High-Dose Chemotherapy and Autologous Stem Cell Transplantation for B Cell Non-Hodgkin Lymphoma. Transplantation and Cellular Therapy. 30(2). 203.e1–203.e9. 3 indexed citations
4.
Lin, Paul, Pei Lin, April L. Gilbert, et al.. (2023). CD70 CAR NK Cells in the Treatment of Multiple Myeloma. Blood. 142(Supplement 1). 3463–3463. 14 indexed citations
5.
Fix, Samantha M., Marie‐Andrée Forget, Donastas Sakellariou-Thompson, et al.. (2022). CRISPR-mediated TGFBR2 knockout renders human ovarian cancer tumor-infiltrating lymphocytes resistant to TGF-β signaling. Journal for ImmunoTherapy of Cancer. 10(7). e003750–e003750. 29 indexed citations
6.
Thompson, Philip A., Xianli Jiang, Pinaki P. Banerjee, et al.. (2022). A phase two study of high dose blinatumomab in Richter’s syndrome. Leukemia. 36(9). 2228–2232. 20 indexed citations
7.
Dou, Jinzhuang, Shaoheng Liang, Vakul Mohanty, et al.. (2022). Bi-order multimodal integration of single-cell data. Genome biology. 23(1). 112–112. 31 indexed citations
8.
Fix, Samantha M., Marie‐Andrée Forget, Donastas Sakellariou-Thompson, et al.. (2021). 172 Overcoming immunosuppressive TGF-β signaling in human ovarian cancer-derived tumor infiltrating lymphocytes via non-viral CRISPR engineering. SHILAP Revista de lepidopterología. A183–A184. 1 indexed citations
9.
Miao, Qi, Fang Wang, Jinzhuang Dou, et al.. (2020). Ab initio spillover compensation in mass cytometry data. Cytometry Part A. 99(9). 899–909. 9 indexed citations
10.
Başar, Rafet, May Daher, & Katayoun Rezvani. (2020). Next-generation cell therapies: the emerging role of CAR-NK cells. Blood Advances. 4(22). 5868–5876. 101 indexed citations
12.
Khoder, Ahmad, Abdullah Alsuliman, Rafet Başar, et al.. (2018). Evidence for B Cell Exhaustion in Chronic Graft-versus-Host Disease. Frontiers in Immunology. 8. 1937–1937. 28 indexed citations
13.
Cao, Kai, David Marín, Gabriela Rondón, et al.. (2018). Donor NKG2C Copy Number: An Independent Predictor for CMV Reactivation After Double Cord Blood Transplantation. Frontiers in Immunology. 9. 2444–2444. 16 indexed citations
14.
Daher, May, Rafet Başar, Hila Shaim, et al.. (2017). The TGF-β/SMAD Signaling Pathway As a Mediator of NK Cell Dysfunction and Immune Evasion in Myelodysplastic Syndrome. Blood. 130. 53–53. 17 indexed citations
15.
Baran, Bülent, Suut Göktürk, Sami Evirgen, et al.. (2017). Role of biochemistry and cytological analysis of cyst fluid for the differential diagnosis of pancreatic cysts. Medicine. 96(1). e5513–e5513. 13 indexed citations
17.
Alsuliman, Abdullah, Muharrem Müftüoğlu, Ahmad Khoder, et al.. (2016). A subset of virus-specific CD161+ T cells selectively express the multidrug transporter MDR1 and are resistant to chemotherapy in AML. Blood. 129(6). 740–758. 23 indexed citations
18.
Alsuliman, Abdullah, Stanley H. Appel, David R. Beers, et al.. (2016). A robust, good manufacturing practice–compliant, clinical-scale procedure to generate regulatory T cells from patients with amyotrophic lateral sclerosis for adoptive cell therapy. Cytotherapy. 18(10). 1312–1324. 40 indexed citations
19.
Shaim, Hila, Zeev Estrov, Takuya Sekine, et al.. (2015). The CXCR4/STAT3/IL-10 Pathway Controls the Immunoregulatory Function of Chronic Lymphocytic Leukemia (CLL) and Can be Modulated By Lenalidomide. Blood. 126(23). 1709–1709. 3 indexed citations
20.
Başar, Rafet, Ayşe Kubat Üzüm, Bülent Canbaz, et al.. (2013). Therapeutic apheresis for severe hypertriglyceridemia in pregnancy. Archives of Gynecology and Obstetrics. 287(5). 839–843. 50 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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