Marcos Vidal
Impact in
- Aging top 2%
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- Immunology 16
- Invertebrate Immune Response Mechanisms 12
- Co-authors
- Ross Cagan (7 shared papers)Julia B. Cordero (13 shared papers)Rhoda Stefanatos (7 shared papers)Owen J. Sansom (8 shared papers)Adriana Dusso (4 shared papers)Karen Strathdee (4 shared papers)David E. Larson (1 shared paper)Alessandro Scopelliti (5 shared papers)
- Journals
- Cell Cycle (4 papers)Cancer Research (3 papers)Developmental Cell (2 papers)Melanoma Research (2 papers)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Marcos Vidal
35 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 103
- Aging 92
- Cell Biology 594
- Immunology 707
- Cellular and Molecular Neuroscience 422
- Oncology 521
Countries citing papers authored by Marcos Vidal
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
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.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 312 | |
| 2 | 2010 | 190 | |
| 3 | 2003 | 165 | |
| 4 | 2006 | 153 | |
| 5 | 2011 | 148 | |
| 6 | 1994 | 125 | |
| 7 | 2012 | 116 | |
| 8 | 2005 | 112 | |
| 9 | 2005 | 107 | |
| 10 | 2002 | 101 | |
| 11 | 1993 | 91 | |
| 12 | 2014 | 90 | |
| 13 | 2002 | 89 | |
| 14 | 2012 | 82 | |
| 15 | 2014 | 77 | |
| 16 | 2019 | 73 | |
| 17 | 2018 | 71 | |
| 18 | The small GTP-binding proteins Rab4 and ARF are associated with released exosomes during reticulocyte maturation. | 1993 | 69 |
| 19 | 2011 | 67 | |
| 20 | 1995 | 65 |
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), 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 (92 citations), Cell Biology (594 citations), Immunology (707 citations), Cellular and Molecular Neuroscience (422 citations) and Oncology (521 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, Kevin Myant and Mario Cozzolino. Their work appears in journals such as Cell Cycle, Cancer Research, Developmental Cell, Melanoma Research and Current Biology.
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.