Mehmet Samur

8.2k total citations · 1 hit paper
149 papers, 3.0k citations indexed

About

Mehmet Samur is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Mehmet Samur has authored 149 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 109 papers in Hematology and 42 papers in Oncology. Recurrent topics in Mehmet Samur's work include Multiple Myeloma Research and Treatments (108 papers), Protein Degradation and Inhibitors (48 papers) and Peptidase Inhibition and Analysis (24 papers). Mehmet Samur is often cited by papers focused on Multiple Myeloma Research and Treatments (108 papers), Protein Degradation and Inhibitors (48 papers) and Peptidase Inhibition and Analysis (24 papers). Mehmet Samur collaborates with scholars based in United States, France and Italy. Mehmet Samur's co-authors include Nikhil C. Munshi, Kenneth C. Anderson, Hervé Avet‐Loiseau, Mariateresa Fulciniti, Yu‐Tzu Tai, Anjan Thakurta, Rao Prabhala, Adam S. Sperling, Teru Hideshima and Paul G. Richardson and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Mehmet Samur

139 papers receiving 3.0k citations

Hit Papers

Biallelic loss of BCMA as a resistance mechanism to CAR T... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Mehmet Samur
Christine Pien United States
Giada Bianchi United States
Amanda L. Christie United States
Hetty E. Carraway United States
Juerg Schwaller Switzerland
Mehmet Samur
Citations per year, relative to Mehmet Samur Mehmet Samur (= 1×) peers Salomon Manier

Countries citing papers authored by Mehmet Samur

Since Specialization
Citations

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

Fields of papers citing papers by Mehmet Samur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehmet Samur

This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Samur. A scholar is included among the top collaborators of Mehmet Samur 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 Mehmet Samur. Mehmet Samur 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.
Yan, Qi, Saeed Daneshmandi, Romain Lannes, et al.. (2025). Deciphering neutrophil dynamics in the focal lesion tumor microenvironment to overcome immunosuppression in multiple myeloma. Blood. 146(20). 2392–2405. 1 indexed citations
2.
Samur, Anıl Aktaş, Jill Corre, Srikanth Talluri, et al.. (2025). Genomically Smoldering Multiple Myeloma Is Not a Distinct Entity But a Collection of Monoclonal Gammopathy of Undetermined Significance or Multiple Myeloma. Journal of Clinical Oncology. 44(4). 321–334.
3.
Letouzé, Éric, Philippe Moreau, Nikhil Munshi, et al.. (2024). Mechanisms of resistance to bispecific T-cell engagers in multiple myeloma and their clinical implications. Blood Advances. 8(11). 2952–2959. 18 indexed citations
4.
Martin, E, Yingjie Zhao, Mubin Tarannum, et al.. (2024). A TCR-like CAR T Cell Therapy for the Treatment of MZB1 Positive Multiple Myeloma and Other B-Cell Malignancies. Blood. 144(Supplement 1). 4800–4800. 1 indexed citations
5.
Kumar, Subodh, Srikanth Talluri, Leutz Buon, et al.. (2023). ABL1 kinase plays an important role in spontaneous and chemotherapy-induced genomic instability in multiple myeloma. Blood. 143(11). 996–1005. 3 indexed citations
6.
Yao, Yao, Mehmet Samur, Eugenio Morelli, et al.. (2023). CDK7 controls E2F- and MYC-driven proliferative and metabolic vulnerabilities in multiple myeloma. Blood. 141(23). 2841–2852. 17 indexed citations
7.
Samur, Mehmet, Marco Roncador, Anıl Aktaş Samur, et al.. (2023). High-dose melphalan treatment significantly increases mutational burden at relapse in multiple myeloma. Blood. 141(14). 1724–1736. 22 indexed citations
8.
Ansari‐Pour, Naser, Mehmet Samur, Erin Flynt, et al.. (2022). Whole-genome analysis identifies novel drivers and high-risk double-hit events in relapsed/refractory myeloma. Blood. 141(6). 620–633. 22 indexed citations
9.
Stong, Nicholas, Fadi Towfic, Mehmet Samur, et al.. (2022). The location of the t(4;14) translocation breakpoint within the NSD2 gene identifies a subset of patients with high-risk NDMM. Blood. 141(13). 1574–1583. 21 indexed citations
10.
Gullà, Annamaria, Eugenio Morelli, Mehmet Samur, et al.. (2021). Bortezomib Induces Anti–Multiple Myeloma Immune Response Mediated by cGAS/STING Pathway Activation. Blood Cancer Discovery. 2(5). 468–483. 92 indexed citations
11.
Samur, Mehmet, Ricardo Sánchez, Santiago Barrio, et al.. (2021). Pathogenetic and Prognostic Implications of Increased Mitochondrial Content in Multiple Myeloma. Cancers. 13(13). 3189–3189. 5 indexed citations
12.
Hata, Tsuyoshi, Hasan Rajabi, Hidekazu Takahashi, et al.. (2019). MUC1-C Activates the NuRD Complex to Drive Dedifferentiation of Triple-Negative Breast Cancer Cells. Cancer Research. 79(22). 5711–5722. 47 indexed citations
13.
Hata, Tsuyoshi, Hasan Rajabi, Masaaki Yamamoto, et al.. (2019). Targeting MUC1-C Inhibits TWIST1 Signaling in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 18(10). 1744–1754. 46 indexed citations
14.
Alagpulinsa, David A., Subodh Kumar, Srikanth Talluri, et al.. (2019). Amplification and overexpression of E2 ubiquitin conjugase UBE2T promotes homologous recombination in multiple myeloma. Blood Advances. 3(23). 3968–3972. 12 indexed citations
15.
Sagawa, M., Hiroto Ohguchi, Takeshi Harada, et al.. (2017). Ribonucleotide Reductase Catalytic Subunit M1 (RRM1) as a Novel Therapeutic Target in Multiple Myeloma. Clinical Cancer Research. 23(17). 5225–5237. 30 indexed citations
16.
Das, Deepika Sharma, Abhishek Das, Arghya Ray, et al.. (2017). Blockade of Deubiquitylating Enzyme USP1 Inhibits DNA Repair and Triggers Apoptosis in Multiple Myeloma Cells. Clinical Cancer Research. 23(15). 4280–4289. 78 indexed citations
17.
Furchtgott, Leon, Arnold Bolomsky, Fred K. Gruber, et al.. (2017). Multiple Myeloma Drivers of High Risk and Response to Stem Cell Transplantation Identified By Causal Machine Learning: Out-of-Cohort and Experimental Validation. Blood. 130. 3029–3029. 2 indexed citations
18.
Perini, Tommaso, Raphaël Szalat, Mariateresa Fulciniti, et al.. (2017). Bone Marrow Microenvironment Induces Genomic Instability and Enables Clonal Evolution in Multiple Myeloma. Blood. 130. 4408. 1 indexed citations
19.
Cleynen, Alice, Raphaël Szalat, Mehmet Samur, et al.. (2017). Expressed fusion gene landscape and its impact in multiple myeloma. Nature Communications. 8(1). 1893–1893. 25 indexed citations
20.
Talluri, Srikanth, Mehmet Samur, Leutz Buon, et al.. (2017). Apobec Family of Proteins Mediate Genomic Changes in Multiple Myeloma By Inducing DNA Damage and C>T Mutations. Blood. 130. 4334–4334. 1 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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