Graça Raposo

104.0k citations
255 papers · 73.6k · 34 hit papers · h-index 106

Impact in

  • Cancer Research top 0.01%
    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • Lipid Membrane Structure and Behavior

Papers in

    • Extracellular vesicles in disease 77
    • RNA regulation and disease 38
    • RNA Interference and Gene Delivery 29
    • Lipid Membrane Structure and Behavior 23
    • Cellular transport and secretion 73
    • melanin and skin pigmentation 48

Graça Raposo

253 papers receiving 72.5k citations

Graça Raposo's Hit Papers

Challenges and directions in studying cell–cell communication by extracellular vesicles 2022 · 836 citations
8360+5+11Years since publication2.0k4.0k6.0k

Peers

Graça Raposo
Comparison fields: 5 of 187
  • Cancer Research 23.2k
  • Molecular Biology 56.2k
  • Immunology 14.3k
  • Cell Biology 11.1k
  • Immunology and Allergy 2.9k
Replace Tak W. Mak with:
Tak W. Mak Canada
Rudolf Jaenisch United States
Pierre Chambon France
Nahum Sonenberg Canada
Harvey F. Lodish United States
Roderick T. Bronson United States
Hans Clevers Netherlands
George D. Yancopoulos United States
Shigekazu Nagata Japan
Inder M. Verma United States
Graça Raposo relative to Tak W. Mak Canada Tak W. Mak's profile →
Citations per field
00.5×1.5×2.1×
Tak W. Mak · 1×
Citations per year

Countries citing papers authored by Graça Raposo

Since Specialization
Citations

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

Fields of papers citing papers by Graça Raposo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extracellular vesicles: Exosomes, microvesicles, and friends
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20136657
2
Shedding light on the cell biology of extracellular vesicles
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20186358
3
Biogenesis, Secretion, and Intercellular Interactions of Exosomes and Other Extracellular Vesicles
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20145036
4
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
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20064862
5
B lymphocytes secrete antigen-presenting vesicles.
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19962971
6
Rab27a and Rab27b control different steps of the exosome secretion pathway
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20092158
7
Exosomes – vesicular carriers for intercellular communication
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20091992
8
Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell derived exosomes
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19981951
9
Tumor-derived exosomes are a source of shared tumor rejection antigens for CTL cross-priming
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20011395
10
Proteomic Analysis of Dendritic Cell-Derived Exosomes: A Secreted Subcellular Compartment Distinct from Apoptotic Vesicles
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20011347
11
Analysis of ESCRT functions in exosome biogenesis, composition and secretion highlights the heterogeneity of extracellular vesicles
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20131240
12
Exosomal-like vesicles are present in human blood plasma
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20051135
13
Molecular Characterization of Dendritic Cell-Derived Exosomes
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1999944
14
Exosome Secretion: Molecular Mechanisms and Roles in Immune Responses
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2011931
15
Exosomes: endosomal-derived vesicles shipping extracellular messages
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2004883
16
Cells release prions in association with exosomes
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2004850
17
Challenges and directions in studying cell–cell communication by extracellular vesicles
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2022836
18
Malignant effusions and immunogenic tumour-derived exosomes
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2002826
19
The Tetraspanin CD63 Regulates ESCRT-Independent and -Dependent Endosomal Sorting during Melanogenesis
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2011777
20
Exosomes: A Common Pathway for a Specialized Function
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2006775

About Graça Raposo

Graça Raposo is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Physiology, having authored 255 papers that have together received 73.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (77 papers), Cellular transport and secretion (73 papers), melanin and skin pigmentation (48 papers), RNA regulation and disease (38 papers), Immunotherapy and Immune Responses (34 papers), RNA Interference and Gene Delivery (29 papers), MicroRNA in disease regulation (28 papers) and Lipid Membrane Structure and Behavior (23 papers). The work is most often cited by research in Cancer Research (23.2k citations), Molecular Biology (56.2k citations), Immunology (14.3k citations), Cell Biology (11.1k citations) and Immunology and Allergy (2.9k citations). Graça Raposo has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Willem Stoorvogel, Clotilde Théry, Guillaume van Niel, Sebastián Amigorena, Gisela D’Angelo, Marina Colombo, Aled Clayton, Michael S. Marks, Mikael Simons and Hans J. Geuze. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Traffic, Proceedings of the National Academy of Sciences and Journal of Cell Science.

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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