Amin Sobh

655 total citations
25 papers, 355 citations indexed

About

Amin Sobh is a scholar working on Molecular Biology, Hematology and Infectious Diseases. According to data from OpenAlex, Amin Sobh has authored 25 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Hematology and 3 papers in Infectious Diseases. Recurrent topics in Amin Sobh's work include CRISPR and Genetic Engineering (9 papers), Protein Degradation and Inhibitors (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Amin Sobh is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Protein Degradation and Inhibitors (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Amin Sobh collaborates with scholars based in United States, Russia and Spain. Amin Sobh's co-authors include Chris D. Vulpe, Abderrahmane Tagmount, Jonathan D. Licht, Luoping Zhang, Guangrong Zheng, Daohong Zhou, Xuan Zhang, Alex Loguinov, Alan Hubbard and Qingping Yang and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Analytical Chemistry.

In The Last Decade

Amin Sobh

24 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amin Sobh United States 10 253 55 48 42 24 25 355
Justine Meiller Ireland 11 185 0.7× 123 2.2× 94 2.0× 52 1.2× 12 0.5× 24 302
Reena G. Patel United States 12 270 1.1× 68 1.2× 74 1.5× 49 1.2× 29 1.2× 13 401
Bingbing Hao China 10 329 1.3× 83 1.5× 36 0.8× 44 1.0× 21 0.9× 16 433
Tsun‐Leung Chan Hong Kong 10 132 0.5× 59 1.1× 52 1.1× 58 1.4× 10 0.4× 17 296
Giancarlo Chesi Italy 7 105 0.4× 83 1.5× 55 1.1× 21 0.5× 17 0.7× 7 365
Francisco Campos‐Laborie Spain 8 180 0.7× 29 0.5× 19 0.4× 37 0.9× 15 0.6× 12 251
Jasper E. Neggers United States 9 337 1.3× 98 1.8× 44 0.9× 63 1.5× 20 0.8× 12 410
Nitin Sharma United States 8 197 0.8× 51 0.9× 8 0.2× 33 0.8× 18 0.8× 11 325
Susan Spitz United States 7 119 0.5× 38 0.7× 51 1.1× 15 0.4× 58 2.4× 12 290
Benjamin J. Buckley Australia 9 141 0.6× 79 1.4× 22 0.5× 68 1.6× 26 1.1× 18 262

Countries citing papers authored by Amin Sobh

Since Specialization
Citations

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

Fields of papers citing papers by Amin Sobh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Sobh

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Sobh. A scholar is included among the top collaborators of Amin Sobh 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 Amin Sobh. Amin Sobh 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.
Riva, Alberto, Benjamin G. Barwick, Sayantan Maji, et al.. (2024). KDM6A regulates immune response genes in multiple myeloma. Blood. 144(14). 1508–1520. 5 indexed citations
2.
Yoon, Hyung‐Suk, et al.. (2024). Iron and cancer: overview of the evidence from population-based studies. Frontiers in Oncology. 14. 1393195–1393195. 4 indexed citations
3.
Hanley, Ronan P., Yan Nie, Fengling Li, et al.. (2023). Discovery of a Potent and Selective Targeted NSD2 Degrader for the Reduction of H3K36me2. Journal of the American Chemical Society. 145(14). 8176–8188. 32 indexed citations
4.
Pei, Jing, Yufeng Xiao, Xingui Liu, et al.. (2023). Piperlongumine conjugates induce targeted protein degradation. Cell chemical biology. 30(2). 203–213.e17. 48 indexed citations
5.
Li, Jianping, Marta Kulis, Alberto Riva, et al.. (2023). Activating NSD2 Mutations Drive Oncogenic Reprogramming By Disturbing Epigenetic Landscape in Mantle Cell Lymphoma. Blood. 142(Supplement 1). 2771–2771. 1 indexed citations
6.
Tagmount, Abderrahmane, Amin Sobh, Abdelrahman H. Elsayed, et al.. (2022). Genome-wide CRISPR/Cas9 screen identifies etoposide response modulators associated with clinical outcomes in pediatric AML. Blood Advances. 7(9). 1769–1783. 9 indexed citations
7.
Bluhm, Andrew P., Abderrahmane Tagmount, Amin Sobh, et al.. (2022). Genome-scale CRISPR screens identify host factors that promote human coronavirus infection. Genome Medicine. 14(1). 10–10. 27 indexed citations
8.
Thummuri, Dinesh, Sajid Khan, Patrick W. Underwood, et al.. (2021). Overcoming Gemcitabine Resistance in Pancreatic Cancer Using the BCL-XL–Specific Degrader DT2216. Molecular Cancer Therapeutics. 21(1). 184–192. 51 indexed citations
9.
Jooß, Kevin, Luis F. Schachner, Rachel Watson, et al.. (2021). Separation and Characterization of Endogenous Nucleosomes by Native Capillary Zone Electrophoresis–Top-Down Mass Spectrometry. Analytical Chemistry. 93(12). 5151–5160. 23 indexed citations
10.
Sobh, Amin, et al.. (2021). CRISPR Screens in Toxicology Research: An Overview. Current Protocols. 1(5). e136–e136. 6 indexed citations
11.
Li, Jianping, Priscillia Lhoumaud, Alberto Riva, et al.. (2021). Dysregulation of Epigenetic Landscape Uncovered the Mechanisms Underlying the Relapse of Pediatric Acute Lymphoblastic Leukemia with NSD2 Mutation. Blood. 138(Supplement 1). 3297–3297. 1 indexed citations
12.
Zhao, Yun, Abderrahmane Tagmount, Alex Loguinov, et al.. (2020). Applying genome-wide CRISPR to identify known and novel genes and pathways that modulate formaldehyde toxicity. Chemosphere. 269. 128701–128701. 22 indexed citations
13.
Sobh, Amin, Ping Zhang, Alex Loguinov, et al.. (2020). Functional Pathway Identification With CRISPR/Cas9 Genome-wide Gene Disruption in Human Dopaminergic Neuronal Cells Following Chronic Treatment With Dieldrin. Toxicological Sciences. 176(2). 366–381. 13 indexed citations
14.
Sobh, Amin, Alessia Stornetta, Silvia Balbo, et al.. (2019). Genome-Wide CRISPR Screening Identifies the Tumor Suppressor Candidate OVCA2 As a Determinant of Tolerance to Acetaldehyde. Toxicological Sciences. 169(1). 235–245. 15 indexed citations
15.
Luo, Huacheng, Amin Sobh, Chris D. Vulpe, et al.. (2019). <em>HOX</em> Loci Focused CRISPR/sgRNA Library Screening Identifying Critical CTCF Boundaries. Journal of Visualized Experiments. 2 indexed citations
16.
Sobh, Amin, et al.. (2019). Identification of Genetic Vulnerabilities and Synthetic-Lethal Targets in NSD2-High Multiple Myeloma. Blood. 134(Supplement_1). 3757–3757. 1 indexed citations
17.
Zhou, Yujia, David King, Amy Meacham, et al.. (2019). CRISPR Dropout Screens Identify DHODH,PIK3C3, and Crkl as Potential Therapeutic Targets in Acute Myeloid Leukemia. Blood. 134(Supplement_1). 1452–1452. 2 indexed citations
18.
19.
Sobh, Amin, Gülce Naz Yazıcı, Abderrahmane Tagmount, et al.. (2019). Functional Profiling Identifies Determinants of Arsenic Trioxide Cellular Toxicity. Toxicological Sciences. 169(1). 108–121. 24 indexed citations
20.
Luo, Huacheng, Fei Wang, Jie Zha, et al.. (2018). CTCF boundary remodels chromatin domain and drives aberrant HOX gene transcription in acute myeloid leukemia. Blood. 132(8). 837–848. 49 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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