Amit J. Sabnis

2.4k total citations
32 papers, 951 citations indexed

About

Amit J. Sabnis is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Amit J. Sabnis has authored 32 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Amit J. Sabnis's work include Neuroblastoma Research and Treatments (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Acute Myeloid Leukemia Research (4 papers). Amit J. Sabnis is often cited by papers focused on Neuroblastoma Research and Treatments (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Acute Myeloid Leukemia Research (4 papers). Amit J. Sabnis collaborates with scholars based in United States, Canada and Switzerland. Amit J. Sabnis's co-authors include Trever G. Bivona, Veronica G. Beaudry, Holly K. Tabor, Gregory S. Barsh, Weibin Zhang, Christopher Y. Park, Jun Z. Li, Laura D. Attardi, R Myers and Kelly A. McGowan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Amit J. Sabnis

32 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit J. Sabnis United States 13 562 245 151 125 113 32 951
Roberto Bellelli United Kingdom 16 1.1k 1.9× 283 1.2× 106 0.7× 135 1.1× 245 2.2× 23 1.3k
Jo Ishizawa United States 18 664 1.2× 248 1.0× 252 1.7× 73 0.6× 129 1.1× 65 892
Archontoula Stoffel United States 12 548 1.0× 259 1.1× 98 0.6× 80 0.6× 166 1.5× 15 826
Nicole E. Carlson United States 9 816 1.5× 319 1.3× 129 0.9× 78 0.6× 84 0.7× 10 1.0k
Miaofen G. Hu United States 16 675 1.2× 466 1.9× 75 0.5× 157 1.3× 259 2.3× 28 1.2k
Antreas Hindoyan United States 11 409 0.7× 365 1.5× 125 0.8× 93 0.7× 128 1.1× 24 767
Kyoko Arai Japan 18 595 1.1× 250 1.0× 132 0.9× 188 1.5× 112 1.0× 53 1.0k
Paloma García United Kingdom 18 745 1.3× 248 1.0× 271 1.8× 47 0.4× 159 1.4× 41 1.1k
Quanhong Sun United States 16 599 1.1× 264 1.1× 117 0.8× 62 0.5× 164 1.5× 28 936
Kym L. Stanley Australia 9 588 1.0× 310 1.3× 103 0.7× 59 0.5× 123 1.1× 10 893

Countries citing papers authored by Amit J. Sabnis

Since Specialization
Citations

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

Fields of papers citing papers by Amit J. Sabnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit J. Sabnis. 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 Amit J. Sabnis. The network helps show where Amit J. Sabnis may publish in the future.

Co-authorship network of co-authors of Amit J. Sabnis

This figure shows the co-authorship network connecting the top 25 collaborators of Amit J. Sabnis. A scholar is included among the top collaborators of Amit J. Sabnis 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 Amit J. Sabnis. Amit J. Sabnis 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.
Pan, Yue, Matthew J. Watson, Alex G. Lee, et al.. (2025). In vivo manipulation of the protein homeostasis network in rhabdomyosarcoma. Oncotarget. 16(1). 681–696. 1 indexed citations
2.
Pan, Yue, Max A. Horlbeck, Jonathan S. Weissman, et al.. (2022). GATOR2-dependent mTORC1 activity is a therapeutic vulnerability in FOXO1 fusion–positive rhabdomyosarcoma. JCI Insight. 7(23). 5 indexed citations
3.
Church, Alanna J., Laura Corson, Pei‐Chi Kao, et al.. (2021). Clinical impact of molecular tumor profiling in pediatric, adolescent, and young adult patients with extra-cranial solid malignancies: An interim report from the GAIN/iCat2 study.. Journal of Clinical Oncology. 39(15_suppl). 10005–10005. 2 indexed citations
5.
6.
Sabnis, Amit J. & Trever G. Bivona. (2019). Principles of Resistance to Targeted Cancer Therapy: Lessons from Basic and Translational Cancer Biology. Trends in Molecular Medicine. 25(3). 185–197. 130 indexed citations
7.
Robinson, Giles, Ami V. Desai, Karen Gauvain, et al.. (2019). PDCT-13. ENTRECTINIB IN CHILDREN AND ADOLESCENTS WITH RECURRENT OR REFRACTORY SOLID TUMORS INCLUDING PRIMARY CNS TUMORS. Neuro-Oncology. 21(Supplement_6). vi186–vi186. 1 indexed citations
8.
Bugaj, Lukasz J., Amit J. Sabnis, Amir Mitchell, et al.. (2018). Cancer mutations and targeted drugs can disrupt dynamic signal encoding by the Ras-Erk pathway. Science. 361(6405). 107 indexed citations
9.
Cohen, Jarish N., Amit J. Sabnis, Gregor Krings, et al.. (2018). EWSR1-NFATC2 gene fusion in a soft tissue tumor with epithelioid round cell morphology and abundant stroma: a case report and review of the literature. Human Pathology. 81. 281–290. 33 indexed citations
10.
Wattier, Rachel L, Emily R. Levy, Amit J. Sabnis, Christopher C. Dvorak, & Andrew D. Auerbach. (2017). Reducing Second Gram-Negative Antibiotic Therapy on Pediatric Oncology and Hematopoietic Stem Cell Transplantation Services. Infection Control and Hospital Epidemiology. 38(9). 1039–1047. 17 indexed citations
11.
Desai, Ami V., Garrett M. Brodeur, Suzanne Shusterman, et al.. (2017). Abstract CT030: STARTRK-NG: A phase 1/1b study of entrectinib in children and adolescents with advanced solid tumors and primary CNS tumors, with or without TRK, ROS1, or ALK fusions. Cancer Research. 77(13_Supplement). CT030–CT030. 4 indexed citations
12.
Sabnis, Amit J. & Trever G. Bivona. (2013). FGFR Fusions in the Driver's Seat. Cancer Discovery. 3(6). 607–609. 6 indexed citations
13.
Molina‐Vila, Miguel Ángel, Cristian Tornador, Amit J. Sabnis, et al.. (2013). Activating Mutations Cluster in the “Molecular Brake” Regions of Protein Kinases and Do Not Associate with Conserved or Catalytic Residues. Human Mutation. 35(3). 318–328. 15 indexed citations
14.
Sabnis, Amit J. & Robert W. Harrison. (2010). A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical Systems. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 335–341. 1 indexed citations
15.
Sabnis, Amit J. & Robert W. Harrison. (2010). Simulation of oscillatory dynamics of blood testosterone levels using the crossover method. 1–6. 1 indexed citations
16.
Santaguida, Marianne, Koen Schepers, Amit J. Sabnis, et al.. (2009). JunB Protects against Myeloid Malignancies by Limiting Hematopoietic Stem Cell Proliferation and Differentiation without Affecting Self-Renewal. Cancer Cell. 15(4). 341–352. 110 indexed citations
17.
Sabnis, Amit J., Laurene S. Cheung, Monique Dail, et al.. (2009). Oncogenic Kras Initiates Leukemia in Hematopoietic Stem Cells. PLoS Biology. 7(3). e1000059–e1000059. 71 indexed citations
18.
McGowan, Kelly A., Jun Z. Li, Christopher Y. Park, et al.. (2008). Ribosomal mutations cause p53-mediated dark skin and pleiotropic effects. Nature Genetics. 40(8). 963–970. 276 indexed citations
19.
Wang, Honggang, et al.. (2006). Pluggable Application Server Framework. PubMed. 183. 2021–2024. 1 indexed citations
20.
Er, Fisher, et al.. (1975). Relationship of hyperplasia to cancer in 3-methylcholanthrene-induced mammary tumorogenesis.. PubMed. 33(1). 33–42. 20 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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