Michael P. Lisanti

96.3k citations
573 papers · 70.7k · 23 hit papers · h-index 144

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 128
    • Signaling Pathways in Disease 43
    • RNA Research and Splicing 38
    • Caveolin-1 and cellular processes 274

Michael P. Lisanti

571 papers receiving 69.7k citations

Michael P. Lisanti's Hit Papers

ESPEN expert group recommendations for action against cancer-related malnutrition 2017 · 811 citations
8110+9+19Years since publication4008001.2k

Peers

Michael P. Lisanti
Comparison fields: 5 of 171
  • Cell Biology 33.5k
  • Cancer Research 15.4k
  • Molecular Biology 47.5k
  • Physiology 12.0k
  • Immunology and Allergy 2.5k
Replace Kun‐Liang Guan with:
Kun‐Liang Guan United States
Joseph L. Goldstein United States
Michael S. Brown United States
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Dario R. Alessi United Kingdom
John C. Reed United States
Randal J. Kaufman United States
Hediye Erdjument‐Bromage United States
Richard G. Pestell United States
Stefanie Dimmeler Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Lisanti

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Lisanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Lisanti. 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 Michael P. Lisanti. The network helps show where Michael P. Lisanti may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 573 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Caveolins, a Family of Scaffolding Proteins for Organizing “Preassembled Signaling Complexes” at the Plasma Membrane
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19981305
2
Cancer metabolism: a therapeutic perspective
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20161171
3
The reverse Warburg effect: Aerobic glycolysis in cancer associated fibroblasts and the tumor stroma
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20091118
4
Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalities
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2001975
5
Co-purification and Direct Interaction of Ras with Caveolin, an Integral Membrane Protein of Caveolae Microdomains
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1996904
6
Signal transducing molecules and glycosyl-phosphatidylinositol-linked proteins form a caveolin-rich insoluble complex in MDCK cells
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1993864
7
Caveolins, Liquid-Ordered Domains, and Signal Transduction
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1999850
8
ESPEN expert group recommendations for action against cancer-related malnutrition
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2017811
9
Caveolae: From Cell Biology to Animal Physiology
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2002809
10
Characterization of caveolin-rich membrane domains isolated from an endothelial-rich source: implications for human disease.
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1994809
11
Identification of Peptide and Protein Ligands for the Caveolin-scaffolding Domain
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1997789
12
Role of Caveolae and Caveolins in Health and Disease
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2004720
13
Dissecting the Interaction between Nitric Oxide Synthase (NOS) and Caveolin
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1997691
14
Src Tyrosine Kinases, Gα Subunits, and H-Ras Share a Common Membrane-anchored Scaffolding Protein, Caveolin
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1996683
15
Molecular Cloning of Caveolin-3, a Novel Member of the Caveolin Gene Family Expressed Predominantly in Muscle
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1996603
16
Expression of Caveolin-3 in Skeletal, Cardiac, and Smooth Muscle Cells
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1996598
17
Interaction of a Receptor Tyrosine Kinase, EGF-R, with Caveolins
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1997572
18
Caveolin-1 Regulates Transforming Growth Factor (TGF)-β/SMAD Signaling through an Interaction with the TGF-β Type I Receptor
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2001561
19
Caveolae, caveolin and caveolin-rich membrane domains: a signalling hypothesis
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1994557
20
Evidence for a Regulated Interaction between Heterotrimeric G Proteins and Caveolin
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1995555

About Michael P. Lisanti

Michael P. Lisanti is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Physiology, having authored 573 papers that have together received 70.7k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (274 papers), Metabolism, Diabetes, and Cancer (128 papers), Cancer, Hypoxia, and Metabolism (85 papers), Erythrocyte Function and Pathophysiology (47 papers), Signaling Pathways in Disease (43 papers), Cancer-related Molecular Pathways (43 papers), Cancer Cells and Metastasis (42 papers) and RNA Research and Splicing (38 papers). The work is most often cited by research in Cell Biology (33.5k citations), Cancer Research (15.4k citations), Molecular Biology (47.5k citations), Physiology (12.0k citations) and Immunology and Allergy (2.5k citations). Michael P. Lisanti has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Federica Sotgia, Richard G. Pestell, Philipp E. Scherer, Ubaldo Martinez‐Outschoorn, Massimo Sargiacomo, Babak Razani, Takashi Okamoto, Shengwen Calvin Li, Ferruccio Galbiati and Terence M. Williams. Their work appears in journals such as Cell Cycle, Journal of Biological Chemistry, American Journal Of Pathology, Oncotarget and Aging.

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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