Peter S. Linsley

73.1k citations
276 papers · 55.5k · 26 hit papers · h-index 92

Impact in

  • Immunology top 0.01%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Cancer Research top 0.01%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • T-cell and B-cell Immunology 114
    • Immune Cell Function and Interaction 95
    • Immunotherapy and Immune Responses 49
    • Immune Response and Inflammation 19

Peter S. Linsley

272 papers receiving 54.1k citations

Peter S. Linsley's Hit Papers

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data 2015 · 1.6k citations
1.6k0+10+20Years since publication2.0k4.0k6.0k

Peers

Peter S. Linsley
Comparison fields: 5 of 183
  • Immunology 22.8k
  • Cancer Research 12.9k
  • Transplantation 1.7k
  • Oncology 10.5k
  • Immunology and Allergy 2.2k
Replace Arlene H. Sharpe with:
Arlene H. Sharpe United States
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Warren J. Leonard United States
Klaus Rajewsky Germany
Mark J. Smyth Australia
Christophe Benoıst United States
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Peter S. Linsley relative to Arlene H. Sharpe United States Arlene H. Sharpe's profile →
Citations per field
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Arlene H. Sharpe · 1×
Citations per year

Countries citing papers authored by Peter S. Linsley

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Linsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Linsley. 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 Peter S. Linsley. The network helps show where Peter S. Linsley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 276 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene expression profiling predicts clinical outcome of breast cancer
Hit paper breakdown →
20027033
2
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
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20053915
3
A microRNA component of the p53 tumour suppressor network
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20072177
4
Expression profiling reveals off-target gene regulation by RNAi
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20031822
5
CTLA-4 can function as a negative regulator of T cell activation
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19941769
6
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
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20151570
7
CTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms
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20051541
8
CTLA-4 is a second receptor for the B cell activation antigen B7.
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19911423
9
Long-term acceptance of skin and cardiac allografts after blocking CD40 and CD28 pathways
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19961213
10
Genetics of gene expression surveyed in maize, mouse and man
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20031105
11
Long-Term Survival of Xenogeneic Pancreatic Islet Grafts Induced by CTLA4lg
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1992966
12
Costimulation of antitumor immunity by the B7 counterreceptor for the T lymphocyte molecules CD28 and CTLA-4
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1992912
13
A large-scale RNAi screen in human cells identifies new components of the p53 pathway
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2004850
14
Recognizing and avoiding siRNA off-target effects for target identification and therapeutic application
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2009828
15
Widespread siRNA “off-target” transcript silencing mediated by seed region sequence complementarity
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2006744
16
IL-10 inhibits macrophage costimulatory activity by selectively inhibiting the up-regulation of B7 expression.
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1993717
17
MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators
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2008713
18
miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice
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2011704
19
Immunosuppression in Vivo by a Soluble Form of the CTLA-4 T Cell Activation Molecule
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1992692
20
T-cell antigen CD28 mediates adhesion with B cells by interacting with activation antigen B7/BB-1.
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1990652

About Peter S. Linsley

Peter S. Linsley is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 276 papers that have together received 55.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (114 papers), Immune Cell Function and Interaction (95 papers), Immunotherapy and Immune Responses (49 papers), Diabetes and associated disorders (39 papers), Monoclonal and Polyclonal Antibodies Research (37 papers), MicroRNA in disease regulation (26 papers), Cell Adhesion Molecules Research (24 papers) and Immune Response and Inflammation (19 papers). The work is most often cited by research in Immunology (22.8k citations), Cancer Research (12.9k citations), Transplantation (1.7k citations), Oncology (10.5k citations) and Immunology and Allergy (2.2k citations). Peter S. Linsley has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Aimee L. Jackson, Janell M. Schelter, Lee P. Lim, Mao Mao, William Brady, Craig B. Thompson, Julja Burchard, J A Ledbetter, Stephen Friend and Hongyue Dai. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Transplantation.

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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