Marisol Vazquez

610 citations
9 papers · 491 · h-index 5

Impact in

Papers in

Marisol Vazquez

8 papers receiving 486 citations

Peers

Marisol Vazquez
Comparison fields: 5 of 71
  • Reproductive Medicine 350
  • Endocrine and Autonomic Systems 78
  • Molecular Biology 254
  • Genetics 81
  • Cellular and Molecular Neuroscience 37
Replace Maralee S. Lawson with:
Maralee S. Lawson United States
Clotilde Amiot France
Daniela Söderlund Mexico
Verena Nordhoff Germany
Sung Il Roh South Korea
Sylvie Lierman Belgium
Shoukhrat Mitalipov United States
R. Kaye Brabec United States
So Shimamoto Japan
Chrystel Leroy France
Marisol Vazquez relative to Maralee S. Lawson United States Maralee S. Lawson's profile →
Citations per field
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Maralee S. Lawson · 1×
Citations per year

Countries citing papers authored by Marisol Vazquez

Since Specialization
Citations

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

Fields of papers citing papers by Marisol Vazquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2004368
2 201453
3 201529
4 202422
5 202215
6 20242
7 20111
8 20131
9 20200

About Marisol Vazquez

Marisol Vazquez is a scholar working on Biomedical Engineering, Surgery, Orthopedics and Sports Medicine, Molecular Biology and Pharmacology, having authored 9 papers that have together received 491 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (4 papers), Bone health and osteoporosis research (2 papers), 3D Printing in Biomedical Research (2 papers), Pancreatic function and diabetes (1 paper), biodegradable polymer synthesis and properties (1 paper), Nerve injury and regeneration (1 paper), Cystic Fibrosis Research Advances (1 paper) and Dental Implant Techniques and Outcomes (1 paper). The work is most often cited by research in Reproductive Medicine (350 citations), Endocrine and Autonomic Systems (78 citations), Molecular Biology (254 citations), Genetics (81 citations) and Cellular and Molecular Neuroscience (37 citations). Marisol Vazquez has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Manuel Tena‐Sempere, Víctor M. Navarro, Sulay Tovar, Rubén Nogueiras, E. Aguilar, Carlos Diéguez, Rafael Fernández, M. L. Barreiro, Juan M. Castellano and L. Pinilla. Their work appears in journals such as ACS Biomaterials Science & Engineering, Frontiers in Endocrinology, International Journal of Biological Macromolecules, Endocrinology and International Journal of Neonatal Screening.

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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