Samuel Singer

330 papers receiving 29.5k citations

Samuel Singer's Hit Papers

F-18 labelled PSMA-1007: biodistribution, radiation dosimetry and histopathological validation of tumor lesions in prostate cancer patients 2016 · 454 citations
4540+9+18Years since publication50010001.5k

Peers

Samuel Singer
Comparison fields: 5 of 164
  • Gastroenterology 7.1k
  • Pulmonary and Respiratory Medicine 14.4k
  • Rheumatology 3.6k
  • Oncology 6.6k
  • Cancer Research 2.7k
Replace Robert G. Maki with:
Robert G. Maki United States
Ian Judson United Kingdom
Heikki Joensuu Finland
Allan T. van Oosterom Belgium
Brian Druker United States
Marco A. Pierotti Italy
François Bertucci France
Grant A. McArthur Australia
Gregory Y. Lauwers United States
David A. Tuveson United States
Samuel Singer relative to Robert G. Maki United States Robert G. Maki's profile →
Citations per field
00.5×1.7×
Robert G. Maki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Samuel Singer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Singer Line = papers co-authored together Samuel Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 342 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PDGFRA Activating Mutations in Gastrointestinal Stromal Tumors
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20031857
2
Kinase Mutations and Imatinib Response in Patients With Metastatic Gastrointestinal Stromal Tumor
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20031840
3
Differentiation and reversal of malignant changes in colon cancer through PPARγ
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1998886
4
KIT activation is a ubiquitous feature of gastrointestinal stromal tumors.
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2001815
5
Terminal Differentiation of Human Breast Cancer through PPARγ
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1998760
6
Acquired Resistance to Imatinib in Gastrointestinal Stromal Tumor Occurs Through Secondary Gene Mutation
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2005668
7
Terminal differentiation of human liposarcoma cells induced by ligands for peroxisome proliferator-activated receptor γ and the retinoid X receptor
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1997589
8
STI571 inactivation of the gastrointestinal stromal tumor c-KIT oncoprotein: biological and clinical implications
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2001575
9
KIT Extracellular and Kinase Domain Mutations in Gastrointestinal Stromal Tumors
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2000547
10
MR Imaging-guided Focused Ultrasound Surgery of Fibroadenomas in the Breast: A Feasibility Study
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2001533
11
Histologic Subtype and Margin of Resection Predict Pattern of Recurrence and Survival for Retroperitoneal Liposarcoma
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2003468
12
F-18 labelled PSMA-1007: biodistribution, radiation dosimetry and histopathological validation of tumor lesions in prostate cancer patients
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2016454
13 1999432
14
Tumor mitotic rate, size, and location independently predict recurrence after resection of primary gastrointestinal stromal tumor (GIST)
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2007403
15
ANTAGONISTS OF NUCLEIC ACID DERIVATIVES
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1954394
16 2011389
17
Development and validation of a prognostic nomogram for recurrence-free survival after complete surgical resection of localised primary gastrointestinal stromal tumour: a retrospective analysis
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2009387
18 2002358
19
Lessons Learned From the Study of 10,000 Patients With Soft Tissue Sarcoma
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2014338
20
Phase II Trial of the CDK4 Inhibitor PD0332991 in Patients With Advanced CDK4 -Amplified Well-Differentiated or Dedifferentiated Liposarcoma
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2013325

About Samuel Singer

Samuel Singer is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Gastroenterology and Cancer Research, having authored 342 papers that have together received 30.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (136 papers), Gastrointestinal Tumor Research and Treatment (36 papers), Vascular Tumors and Angiosarcomas (32 papers), Cardiac tumors and thrombi (20 papers), Soft tissue tumor case studies (18 papers), Advanced MRI Techniques and Applications (17 papers), Insect Resistance and Genetics (15 papers) and Advanced NMR Techniques and Applications (15 papers). The work is most often cited by research in Gastroenterology (7.1k citations), Pulmonary and Respiratory Medicine (14.4k citations), Rheumatology (3.6k citations), Oncology (6.6k citations) and Cancer Research (2.7k citations). Samuel Singer has collaborated with scholars based in United States, Germany and France. Frequent 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, Ronald P. DeMatteo, Pasha Sarraf and Elisabetta Mueller. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgical Oncology, Genes Chromosomes and Cancer, Annals of Surgery and Clinical Cancer Research.

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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