Stuart A. Aaronson

63.9k citations
444 papers · 55.1k · 20 hit papers · h-index 112

Impact in

  • Immunology top 0.05%
    • T-cell and Retrovirus Studies
  • Oncology top 0.2%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

    • T-cell and Retrovirus Studies 138
    • Cancer-related Molecular Pathways 20
    • HER2/EGFR in Cancer Research 10
    • Polyomavirus and related diseases 6

Stuart A. Aaronson

439 papers receiving 50.2k citations

Stuart A. Aaronson's Hit Papers

Apoptotic cell death in disease—Current understanding of the NCCD 2023 2023 · 278 citations
2780+14+29Years since publication10002.0k3.0k4.0k5.0k

Peers

Stuart A. Aaronson
Comparison fields: 5 of 137
  • Immunology 7.0k
  • Oncology 5.4k
  • Molecular Biology 12.7k
  • Cancer Research 1.4k
  • Hepatology 979
Replace George Robert Stark with:
George Robert Stark United States
James E. Darnell Jr. United States
Anita B. Roberts United States
Ettore Appella United States
Andreas Strasser Australia
Jeffrey W. Pollard United States
Hideo Yagita∥ Japan
Paul B. Fisher United States
Charles J. Sherr United States
Peter H. Krammer Germany
Stuart A. Aaronson relative to George Robert Stark United States George Robert Stark's profile →
Citations per field
00.5×1.5×
George Robert Stark · 1×
Citations per year

Countries citing papers authored by Stuart A. Aaronson

Since Specialization
Citations

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

Fields of papers citing papers by Stuart A. Aaronson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart A. Aaronson. 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 Stuart A. Aaronson. The network helps show where Stuart A. Aaronson may publish in the future.

Co-authors

The 25 scholars most cited alongside Stuart A. Aaronson, 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 Stuart A. Aaronson Line = papers co-authored together Stuart A. Aaronson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 444 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018
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20185362
2
Identification of the Hepatocyte Growth Factor Receptor As the c- met Proto-Oncogene Product
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19912016
3
In Vitro Cultivation of Human Tumors: Establishment of Cell Lines Derived From a Series of Solid Tumors2
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19731994
4
Growth Factors and Cancer
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19911458
5
Simian Sarcoma Virus onc Gene, v- sis , Is Derived from the Gene (or Genes) Encoding a Platelet-Derived Growth Factor
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19831339
6
Translocation of the c-myc gene into the immunoglobulin heavy chain locus in human Burkitt lymphoma and murine plasmacytoma cells.
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19821188
7
Amplification of a Novel v- erb B-Related Gene in a Human Mammary Carcinoma
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1985917
8
erb B-2 Is a Potent Oncogene When Overexpressed in NIH/3T3 Cells
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1987906
9
Human KGF is FGF-Related with Properties of a Paracrine Effector of Epithelial Cell Growth
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1989893
10
Essential versus accessory aspects of cell death: recommendations of the NCCD 2015
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2014844
11
Exogenous Expression of N-Cadherin in Breast Cancer Cells Induces Cell Migration, Invasion, and Metastasis
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2000766
12
Purification and characterization of a newly identified growth factor specific for epithelial cells.
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1989761
13
Murine Sarcoma and Leukemia Viruses: Assay Using Clonal Lines of Contact-Inhibited Mouse Cells
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1969741
14 2001680
15 1987587
16
Development of 3T3‐like lines from Balb/c mouse embryo cultures: Transformation susceptibility to SV40
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1968576
17 2009574
18
Isolation of a Novel Receptor cDNA Establishes the Existence of Two PDGF Receptor Genes
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1989540
19
T24 human bladder carcinoma oncogene is an activated form of the normal human homologue of BALB- and Harvey-MSV transforming genes
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1982525
20
Cellular genes analogous to retroviral onc genes are transcribed in human tumour cells
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1982443

About Stuart A. Aaronson

Stuart A. Aaronson is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Hepatology, having authored 444 papers that have together received 55.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (138 papers), Protein Kinase Regulation and GTPase Signaling (30 papers), Wnt/β-catenin signaling in development and cancer (20 papers), Cancer-related Molecular Pathways (20 papers), Fibroblast Growth Factor Research (16 papers), HER2/EGFR in Cancer Research (10 papers), Polyomavirus and related diseases (6 papers) and Liver physiology and pathology (6 papers). The work is most often cited by research in Immunology (7.0k citations), Oncology (5.4k citations), Molecular Biology (12.7k citations), Cancer Research (1.4k citations) and Hepatology (979 citations). Stuart A. Aaronson has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include George J. Todaro, John R. Stephenson, Jeffrey S. Rubin, Steven R. Tronick, Keith C. Robbins, Donald Paul Bottaro, Matthias H. Kraus, Jacalyn H. Pierce, Sam W. Lee and Paul W. Finch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Science, Virology and Nature.

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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