Daulet Satpayev

1.1k total citations
7 papers, 178 citations indexed

About

Daulet Satpayev is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daulet Satpayev has authored 7 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daulet Satpayev's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Daulet Satpayev is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Daulet Satpayev collaborates with scholars based in United States. Daulet Satpayev's co-authors include Zili An, Xue Yang, Arun Bhat, Blake T. Aftab, Kevin Nishimoto, Mustafa Turkoz, Stewart Abbot, Lu Bai, M. Tabrizizad and Anthony Lucas and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daulet Satpayev

6 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daulet Satpayev United States	4	136	116	30	21	19	7	178
Mehdi Hicham Switzerland	2	135 1.0×	200 1.7×	70 2.3×	48 2.3×	8 0.4×	5	275
Qianru Wei Singapore	5	160 1.2×	133 1.1×	46 1.5×	52 2.5×	11 0.6×	7	230
Nicolas A. Gort-Freitas United States	2	110 0.8×	168 1.4×	57 1.9×	39 1.9×	7 0.4×	3	234
Rachael M. Zemek Australia	8	160 1.2×	152 1.3×	49 1.6×	20 1.0×	4 0.2×	15	240
Eleanor Clancy‐Thompson United States	8	145 1.1×	193 1.7×	59 2.0×	6 0.3×	14 0.7×	11	235
Tyler G. Searles United States	5	169 1.2×	148 1.3×	53 1.8×	7 0.3×	8 0.4×	7	235
Elizabeth Jinks United Kingdom	6	91 0.7×	109 0.9×	74 2.5×	21 1.0×	5 0.3×	8	203
Rachel Marcone Switzerland	5	95 0.7×	100 0.9×	54 1.8×	15 0.7×	10 0.5×	9	163
Claudia Trautwein Switzerland	4	100 0.7×	144 1.2×	80 2.7×	6 0.3×	12 0.6×	5	190
Florian Märkl Germany	4	97 0.7×	88 0.8×	29 1.0×	22 1.0×	8 0.4×	8	140

Countries citing papers authored by Daulet Satpayev

Since Specialization

Citations

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

Fields of papers citing papers by Daulet Satpayev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daulet Satpayev

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

All Works

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7 of 7 papers shown

Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). Off-the-shelf Vδ1 gamma delta T cells engineered with glypican-3 (GPC-3)-specific chimeric antigen receptor (CAR) and soluble IL-15 display robust antitumor efficacy against hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 9(12). e003441–e003441. 134 indexed citations

Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). Allogeneic Vδ1 gamma delta T cells engineered with glypican-3 (GPC3)-specific CAR expressing soluble IL-15 have enhanced antitumor efficacy against hepatocellular carcinoma in preclinical models.. Journal of Clinical Oncology. 39(15_suppl). e14511–e14511. 3 indexed citations

Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). 119 ADI-002: an IL-15 armored allogeneic ‘off-the-shelf’ Vδ1 gamma delta CAR T cell therapy for solid tumors targeting glypican-3 (GPC3). Regular and Young Investigator Award Abstracts. A128–A128. 3 indexed citations

Bai, Lu, Kevin Nishimoto, Mustafa Turkoz, et al.. (2020). 107 Effects of IL-2 and IL-15 on the proliferative and antitumor capacities of allogeneic CD20 CAR-engineered γδ T cells in a 3D B cell lymphoma spheroid assay. SHILAP Revista de lepidopterología. A67.1–A67.

Olafsen, Tove, Ziyue Karen Jiang, Jason M. Romero, et al.. (2016). Abstract LB-188: Sensitivity of 89Zr-labeled anti-CD8 minibody for PET imaging of infiltrating CD8+ T cells. Cancer Research. 76(14_Supplement). LB–188. 5 indexed citations

Olafsen, Tove, Michael Torgov, Jason M. Romero, et al.. (2015). Pet imaging of cytotoxic human T cells using an 89Zr-labeled anti-CD8 minibody. Journal for ImmunoTherapy of Cancer. 3(Suppl 2). P388–P388. 10 indexed citations

Rudra-Ganguly, Nandini, Michael Mattie, Mi Sook Chang, et al.. (2014). Discoidin Domain Receptor 1 Contributes to Tumorigenesis through Modulation of TGFBI Expression. PLoS ONE. 9(11). e111515–e111515. 23 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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