Samuel Singer

101.3k total citations · 12 hit papers
331 papers, 28.9k citations indexed

About

Samuel Singer is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Samuel Singer has authored 331 papers receiving a total of 28.9k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Pulmonary and Respiratory Medicine, 99 papers in Oncology and 90 papers in Molecular Biology. Recurrent topics in Samuel Singer's work include Sarcoma Diagnosis and Treatment (163 papers), Vascular Tumors and Angiosarcomas (64 papers) and Cardiac tumors and thrombi (43 papers). Samuel Singer is often cited by papers focused on Sarcoma Diagnosis and Treatment (163 papers), Vascular Tumors and Angiosarcomas (64 papers) and Cardiac tumors and thrombi (43 papers). Samuel Singer collaborates with scholars based in United States, Germany and France. Samuel Singer's co-authors include Cristina R. Antonescu, Murray F. Brennan, Christopher D.�M. Fletcher, George D. Demetri, Robert G. Maki, Jonathan A. Fletcher, Aimeé M. Crago, Bruce M. Spiegelman, Elisabetta Mueller and Pasha Sarraf and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Samuel Singer

320 papers receiving 28.1k citations

Hit Papers

PDGFRA Activating Mutation... 1954 2026 1978 2002 2003 2003 1998 2001 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Singer United States 90 16.7k 8.1k 7.3k 7.0k 4.9k 331 28.9k
Ian Judson United Kingdom 79 16.5k 1.0× 10.8k 1.3× 6.0k 0.8× 6.4k 0.9× 5.0k 1.0× 403 28.0k
Robert G. Maki United States 88 18.3k 1.1× 9.7k 1.2× 3.9k 0.5× 8.0k 1.1× 5.3k 1.1× 377 26.3k
Robert S. Benjamin United States 89 14.0k 0.8× 11.8k 1.4× 3.9k 0.5× 3.3k 0.5× 4.2k 0.9× 490 25.6k
Heikki Joensuu Finland 97 12.6k 0.8× 12.8k 1.6× 8.4k 1.1× 9.3k 1.3× 7.1k 1.5× 583 35.5k
Brian Druker United States 106 6.3k 0.4× 10.9k 1.3× 17.1k 2.3× 4.3k 0.6× 2.3k 0.5× 607 54.8k
Allan T. van Oosterom Belgium 32 10.1k 0.6× 9.3k 1.2× 4.5k 0.6× 3.3k 0.5× 4.3k 0.9× 89 21.9k
François Bertucci France 72 4.8k 0.3× 8.9k 1.1× 7.5k 1.0× 965 0.1× 1.3k 0.3× 515 18.8k
Marco A. Pierotti Italy 85 5.5k 0.3× 10.7k 1.3× 13.3k 1.8× 731 0.1× 2.6k 0.5× 457 27.2k
Valerie W. Rusch United States 116 39.0k 2.3× 16.4k 2.0× 5.7k 0.8× 501 0.1× 9.9k 2.0× 546 50.0k
Keizō Sugimachi Japan 79 7.1k 0.4× 6.7k 0.8× 5.9k 0.8× 1.8k 0.3× 10.3k 2.1× 876 25.2k

Countries citing papers authored by Samuel Singer

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Singer. A scholar is included among the top collaborators of Samuel Singer 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 Samuel Singer. Samuel Singer 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.
Chan, Jason E., William D. Tap, Cristina R. Antonescu, et al.. (2025). Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States. Cancer Research. 86(4). 858–872. 1 indexed citations
2.
Schneider, Daniel, et al.. (2025). Intramedullary primary spinal cord melanoma: illustrative case. Journal of Neurosurgery Case Lessons. 9(10).
3.
Dermawan, Josephine K., Sarah Chiang, Samuel Singer, et al.. (2024). Developing Novel Genomic Risk Stratification Models in Soft Tissue and Uterine Leiomyosarcoma. Clinical Cancer Research. 30(10). 2260–2271. 11 indexed citations
4.
Dermawan, Josephine K., Ciara M. Kelly, Zhidong Gao, et al.. (2023). Novel Genomic Risk Stratification Model for Primary Gastrointestinal Stromal Tumors (GIST) in the Adjuvant Therapy Era. Clinical Cancer Research. 29(19). 3974–3985. 13 indexed citations
5.
Mazzu, Ying Z., Yulan Hu, Rajesh K. Soni, et al.. (2017). miR-193b–Regulated Signaling Networks Serve as Tumor Suppressors in Liposarcoma and Promote Adipogenesis in Adipose-Derived Stem Cells. Cancer Research. 77(21). 5728–5740. 46 indexed citations
6.
Okada, Tomoyo, Ann Y. Lee, Li‐Xuan Qin, et al.. (2016). Integrin-α10 Dependency Identifies RAC and RICTOR as Therapeutic Targets in High-Grade Myxofibrosarcoma. Cancer Discovery. 6(10). 1148–1165. 68 indexed citations
7.
Bersani, Francesca, Deborah Morena, Valentina Foglizzo, et al.. (2016). Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma. Cancer Research. 76(20). 6095–6106. 31 indexed citations
8.
Crago, Aimeé M., Brian T. Denton, Sébastien Salas, et al.. (2013). A Prognostic Nomogram for Prediction of Recurrence in Desmoid Fibromatosis. Annals of Surgery. 258(2). 347–353. 190 indexed citations
9.
Dickson, Mark A., William D. Tap, Mary Louise Keohan, et al.. (2013). Phase II Trial of the CDK4 Inhibitor PD0332991 in Patients With Advanced CDK4 -Amplified Well-Differentiated or Dedifferentiated Liposarcoma. Journal of Clinical Oncology. 31(16). 2024–2028. 317 indexed citations
10.
Crago, Aimeé M., Nicholas D. Socci, Penelope DeCarolis, et al.. (2012). Copy Number Losses Define Subgroups of Dedifferentiated Liposarcoma with Poor Prognosis and Genomic Instability. Clinical Cancer Research. 18(5). 1334–1340. 57 indexed citations
11.
Luke, Jason J., David R. D’Adamo, Mark A. Dickson, et al.. (2012). The Cyclin-Dependent Kinase Inhibitor Flavopiridol Potentiates Doxorubicin Efficacy in Advanced Sarcomas: Preclinical Investigations and Results of a Phase I Dose-Escalation Clinical Trial. Clinical Cancer Research. 18(9). 2638–2647. 82 indexed citations
12.
Taylor, Barry S., Penelope DeCarolis, Christina V. Angeles, et al.. (2011). Frequent Alterations and Epigenetic Silencing of Differentiation Pathway Genes in Structurally Rearranged Liposarcomas. Cancer Discovery. 1(7). 587–597. 92 indexed citations
13.
Ugras, Stacy, Elliott Brill, Anders J. Skanderup, et al.. (2011). Small RNA Sequencing and Functional Characterization Reveals MicroRNA-143 Tumor Suppressor Activity in Liposarcoma. Cancer Research. 71(17). 5659–5669. 98 indexed citations
14.
Camargo, Veridiana Pires de, Mary Louise Keohan, David R. D’Adamo, et al.. (2010). Clinical outcomes of systemic therapy for patients with deep fibromatosis (desmoid tumor). Cancer. 116(9). 2258–2265. 151 indexed citations
15.
Brill, Elliott, Ryan M. Gobble, Christina V. Angeles, et al.. (2010). ZIC1 Overexpression Is Oncogenic in Liposarcoma. Cancer Research. 70(17). 6891–6901. 39 indexed citations
16.
Gladdy, Rebecca A., Li‐Xuan Qin, Nicole H. Moraco, et al.. (2010). Do Radiation-Associated Soft Tissue Sarcomas Have the Same Prognosis As Sporadic Soft Tissue Sarcomas?. Journal of Clinical Oncology. 28(12). 2064–2069. 195 indexed citations
17.
Singer, Samuel, et al.. (2010). IGF2 over‐expression in solitary fibrous tumours is independent of anatomical location and is related to loss of imprinting. The Journal of Pathology. 221(3). 300–307. 68 indexed citations
18.
Guo, Tianhua, Narasimhan P. Agaram, Darren R. Veach, et al.. (2009). Mechanisms of Sunitinib Resistance in Gastrointestinal Stromal Tumors Harboring KIT AY502-3ins Mutation: An In vitro Mutagenesis Screen for Drug Resistance. Clinical Cancer Research. 15(22). 6862–6870. 69 indexed citations
19.
Canter, Robert J., Li-Xuan Qin, Robert G. Maki, et al.. (2008). A Synovial Sarcoma-Specific Preoperative Nomogram Supports a Survival Benefit to Ifosfamide-Based Chemotherapy and Improves Risk Stratification for Patients. Clinical Cancer Research. 14(24). 8191–8197. 133 indexed citations
20.
Singer, Samuel, Nicholas D. Socci, Grazia Ambrosini, et al.. (2007). Gene Expression Profiling of Liposarcoma Identifies Distinct Biological Types/Subtypes and Potential Therapeutic Targets in Well-Differentiated and Dedifferentiated Liposarcoma. Cancer Research. 67(14). 6626–6636. 189 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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