Marcos Vidal

3.7k citations
36 papers · 2.6k · h-index 25

Impact in

  • Aging top 2%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

Marcos Vidal

35 papers receiving 2.6k citations

Peers

Marcos Vidal
Comparison fields: 5 of 106
  • Aging 91
  • Cell Biology 607
  • Immunology 724
  • Cellular and Molecular Neuroscience 428
  • Oncology 557
Replace Richard P. Beckmann with:
Richard P. Beckmann United States
David G. Motto United States
Irwin H. Gelman United States
Olivier Donzé Switzerland
Michael Kline United States
Tetsu Kamitani United States
Jiusong Sun United States
Ansgar Santel Germany
Paula Fernández Switzerland
Kiran Madura United States
Marcos Vidal relative to Richard P. Beckmann United States Richard P. Beckmann's profile →
Citations per field
00.5×7.5×
Richard P. Beckmann · 1×
Citations per year

Countries citing papers authored by Marcos Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013303
2 2010187
3 2003165
4 2006153
5 2011147
6 1994125
7 2012115
8 2005112
9 2005104
10 2002101
11 199391
12 200289
13 201488
14 201282
15 201475
16 201971
17 201870
18
The small GTP-binding proteins Rab4 and ARF are associated with released exosomes during reticulocyte maturation.
199369
19 201166
20 199565

About Marcos Vidal

Marcos Vidal is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (12 papers), Neurobiology and Insect Physiology Research (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Insect Utilization and Effects (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Aging (91 citations), Cell Biology (607 citations), Immunology (724 citations), Cellular and Molecular Neuroscience (428 citations) and Oncology (557 citations). Marcos Vidal has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ross Cagan, Julia B. Cordero, Rhoda Stefanatos, Owen J. Sansom, Adriana Dusso, Karen Strathdee, David E. Larson, Alessandro Scopelliti, Anthony P. Albino and Kevin Myant. Their work appears in journals such as Cell Cycle, Cancer Research, Melanoma Research, Developmental Cell and Cell Metabolism.

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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