Carrie Maynard

1.5k citations
7 papers · 1.1k · 1 hit paper · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases

Papers in

Carrie Maynard

7 papers receiving 1.1k citations

Carrie Maynard's Hit Papers

In Vivo Imaging Reveals Extracellular Vesicle-Mediated Phenocopying of Metastatic Behavior 2015 · 689 citations
6890+3+7Years since publication200400600

Peers

Carrie Maynard
Comparison fields: 5 of 83
  • Cancer Research 538
  • Molecular Biology 876
  • Immunology and Allergy 76
  • Oncology 321
  • Immunology 155
Replace Kimi Honma with:
Kimi Honma Japan
Stefania Violini Italy
Catherine S. Wegner Norway
Kaidi Mikhitarian United States
Cristiana Spinelli Canada
J. Bamat Switzerland
Sonja Offner Germany
Silvia Giampieri United Kingdom
Ritu Jaiswal Australia
Fernanda G. Kugeratski United States
Carrie Maynard relative to Kimi Honma Japan Kimi Honma's profile →
Citations per field
00.5×3.5×
Kimi Honma · 1×
Citations per year

Countries citing papers authored by Carrie Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Carrie Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
In Vivo Imaging Reveals Extracellular Vesicle-Mediated Phenocopying of Metastatic Behavior
Hit paper breakdown →
2015689
2 2016269
3 201978
4 201571
5 201625
6 20165
7 20161

About Carrie Maynard

Carrie Maynard is a scholar working on Oncology, Immunology and Allergy, Molecular Biology, Immunology and Cancer Research, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Cancer Cells and Metastasis (3 papers), Extracellular vesicles in disease (2 papers), Immunotherapy and Immune Responses (1 paper), MicroRNA in disease regulation (1 paper), Cellular Mechanics and Interactions (1 paper), RNA Research and Splicing (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cancer Research (538 citations), Molecular Biology (876 citations), Immunology and Allergy (76 citations), Oncology (321 citations) and Immunology (155 citations). Carrie Maynard has collaborated with scholars based in Netherlands, United States and Israel. Frequent co-authors include Jacco van Rheenen, Evelyne Beerling, Ronny Schäfer, Elzo de Wit, Anoek Zomer, Raymond M. Schiffelers, Saskia I. J. Ellenbroek, Frederik J. Verweij, Thomas Würdinger and Jordi Berenguer. Their work appears in journals such as Journal of Visualized Experiments, Life Science Alliance, Trends in cancer, Cell and Nature Protocols.

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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