Marcos Vidal

3.7k citations
36 papers · 2.8k · 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 2.7k citations

Peers

Marcos Vidal
Comparison fields: 5 of 104
  • Aging 99
  • Cell Biology 624
  • Immunology 721
  • Cellular and Molecular Neuroscience 443
  • Oncology 551
Replace Richard P. Beckmann with:
Richard P. Beckmann United States
David G. Motto United States
Irwin H. Gelman United States
Karel Bezstarosti Netherlands
Jessie E. King United States
Paul Shore United Kingdom
Jiusong Sun United States
Lazaros C. Foukas United Kingdom
Michael Kline United States
Thomas G. Bird United Kingdom
Marcos Vidal relative to Richard P. Beckmann United States Richard P. Beckmann's profile →
Citations per field
00.5×7.9×
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 2013322
2 2010197
3 2003175
4 2006157
5 2011155
6 1994133
7 2005123
8 2012120
9 2005114
10 2002112
11 2002102
12 199396
13 201491
14 201285
15 201480
16 201874
17 201973
18
The small GTP-binding proteins Rab4 and ARF are associated with released exosomes during reticulocyte maturation.
199371
19 201168
20 199566

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 2.8k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (12 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Neurobiology and Insect Physiology Research (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Insect Utilization and Effects (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (99 citations), Cell Biology (624 citations), Immunology (721 citations), Cellular and Molecular Neuroscience (443 citations) and Oncology (551 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, Mario Cozzolino and Kevin Myant. Their work appears in journals such as Cell Cycle, Cancer Research, Developmental Cell, Melanoma Research and Journal of genetics and genomics.

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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