Rehman Qureshi

1.1k total citations
21 papers, 627 citations indexed

About

Rehman Qureshi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Rehman Qureshi has authored 21 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Immunology. Recurrent topics in Rehman Qureshi's work include CAR-T cell therapy research (6 papers), Immune cells in cancer (6 papers) and Bioinformatics and Genomic Networks (4 papers). Rehman Qureshi is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune cells in cancer (6 papers) and Bioinformatics and Genomic Networks (4 papers). Rehman Qureshi collaborates with scholars based in United States and Italy. Rehman Qureshi's co-authors include Ahmet Saçan, Seena K. Ajit, Guillermo M. Alexander, Ruby Gao, Marguerite K. McDonald, Yuzhen Tian, Michael Gormley, Adam Ertel, Paolo Fortina and James E. Barrett and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Rehman Qureshi

21 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rehman Qureshi United States 10 358 207 119 106 62 21 627
Felix Oppel Germany 17 220 0.6× 85 0.4× 37 0.3× 33 0.3× 17 0.3× 55 744
Tiffany Lam United States 7 190 0.5× 50 0.2× 130 1.1× 139 1.3× 11 0.2× 16 699
Zhizhen Lv China 13 380 1.1× 79 0.4× 104 0.9× 43 0.4× 5 0.1× 24 679
Ian Rawe United States 17 204 0.6× 39 0.2× 102 0.9× 58 0.5× 16 0.3× 26 942
Zhiyi He China 15 421 1.2× 151 0.7× 121 1.0× 72 0.7× 3 0.0× 54 911
Renjie Bing United States 16 211 0.6× 47 0.2× 183 1.5× 34 0.3× 20 0.3× 46 647
Hagar Lavon Israel 10 123 0.3× 67 0.3× 18 0.2× 71 0.7× 54 0.9× 15 507
Diego Cotella Italy 19 754 2.1× 236 1.1× 39 0.3× 89 0.8× 4 0.1× 42 1.1k
Maelig Morvan United States 9 286 0.8× 79 0.4× 257 2.2× 834 7.9× 28 0.5× 10 1.4k
Inês S. Alencastre Portugal 15 569 1.6× 28 0.1× 88 0.7× 58 0.5× 8 0.1× 30 811

Countries citing papers authored by Rehman Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Rehman Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rehman Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Rehman Qureshi. A scholar is included among the top collaborators of Rehman Qureshi 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 Rehman Qureshi. Rehman Qureshi 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.
Beghi, Silvia, Rehman Qureshi, Michael Ball, et al.. (2024). Abstract 5249: Macrophages expressing synthetic cytokine receptors reverse IL10-mediated immunosuppression within solid tumors and promote adaptive immunity. Cancer Research. 84(6_Supplement). 5249–5249. 2 indexed citations
2.
Ball, Michael, Rehman Qureshi, Maggie Schmierer, et al.. (2022). 315 Characterization of CT-0508, an anti-HER2 chimeric antigen receptor macrophage (CAR-M), manufactured from patients enrolled in the phase 1, first in human, clinical trial of CT-0508. Regular and Young Investigator Award Abstracts. A331–A331. 4 indexed citations
3.
Yuan, Yuan, Naoto T. Ueno, Melissa L. Johnson, et al.. (2022). A phase 1, first-in-human (FIH) study of adenovirally transduced autologous macrophages engineered to contain an anti-HER2 chimeric antigen receptor (CAR) in participants with HER2 overexpressing solid tumors.. Journal of Clinical Oncology. 40(16_suppl). TPS2677–TPS2677. 2 indexed citations
4.
Reiss, Kim A., Yuan Yuan, Naoto T. Ueno, et al.. (2022). 634 A phase 1, first-in-human (FIH) clinical trial of the anti-HER2 CAR macrophage CT-0508 in participants with HER2 overexpressing solid tumors. Regular and Young Investigator Award Abstracts. A665–A665. 6 indexed citations
5.
Yuan, Yuan, Naoto T. Ueno, Melissa L. Johnson, et al.. (2022). A phase 1, first-in-human (FIH) study of the anti-HER2 CAR macrophage CT-0508 in subjects with HER2 overexpressing solid tumors.. Journal of Clinical Oncology. 40(16_suppl). 2533–2533. 37 indexed citations
6.
McKenzie, Nathalie D., Lorraine Portelance, Jennifer J. Hu, et al.. (2021). Phase 1 trial of nelfinavir added to standard cisplatin chemotherapy with concurrent pelvic radiation for locally advanced cervical cancer. Cancer. 127(13). 2279–2293. 10 indexed citations
7.
8.
Khoshnejad, Makan, Alfredo Perales‐Puchalt, Peng Xiao, et al.. (2020). Synthetic DNA Delivery of an Engineered Arginase Enzyme Can Modulate Specific Immunity In Vivo. Molecular Therapy — Methods & Clinical Development. 18. 652–663. 4 indexed citations
9.
Khoshnejad, Makan, Ami Patel, Ziyang Xu, et al.. (2020). DNA-Encoded Glutamine Synthetase Enzyme as Ammonia-Lowering Therapeutic for Hyperammonemia. Nucleic Acid Therapeutics. 30(6). 379–391. 2 indexed citations
10.
Qureshi, Rehman, Yuzhen Tian, Marguerite K. McDonald, et al.. (2015). Circulating microRNA Signatures in Rodent Models of Pain. Molecular Neurobiology. 53(5). 3416–3427. 25 indexed citations
11.
Shenoda, Botros, Rehman Qureshi, Ahmet Saçan, et al.. (2015). Analgesic Response to Intravenous Ketamine Is Linked to a Circulating microRNA Signature in Female Patients With Complex Regional Pain Syndrome. Journal of Pain. 16(9). 814–824. 36 indexed citations
12.
McDonald, Marguerite K., Yuzhen Tian, Rehman Qureshi, et al.. (2014). Functional significance of macrophage-derived exosomes in inflammation and pain. Pain. 155(8). 1527–1539. 272 indexed citations
13.
Qureshi, Rehman & Ahmet Saçan. (2013). Weighted set enrichment of gene expression data. BMC Systems Biology. 7(Suppl 4). S10–S10. 21 indexed citations
14.
Qureshi, Rehman & Ahmet Saçan. (2013). A novel method for the normalization of microRNA RT-PCR data. BMC Medical Genomics. 6(Suppl 1). S14–S14. 33 indexed citations
15.
Qureshi, Rehman, et al.. (2012). Data simulation and regulatory network reconstruction from time-series microarray data using stepwise multiple linear regression. Network Modeling Analysis in Health Informatics and Bioinformatics. 1(1-2). 3–17. 11 indexed citations
16.
Yang, Heng, Rehman Qureshi, & Ahmet Saçan. (2012). Protein surface representation and analysis by dimension reduction. Proteome Science. 10(S1). S1–S1. 10 indexed citations
17.
Qureshi, Rehman & Ahmet Saçan. (2012). A weighted hypergeometric statistic for the enrichment of gene sets. 1–6. 1 indexed citations
18.
19.
Alexander, Guillermo M., Rehman Qureshi, Ahmet Saçan, et al.. (2011). MicroRNA modulation in complex regional pain syndrome. Journal of Translational Medicine. 9(1). 195–195. 135 indexed citations
20.
Yang, Heng, Rehman Qureshi, & Ahmet Saçan. (2011). Protein Structure Visualization by Dimension Reduction and Texture Mapping. 101. 437–442. 2 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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