Xavier A. Figueroa
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Biomedical Engineering top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Robert H. BatchelorAlbert FolchCherie A. SingerAnna TourovskaiaVictor V. PinedaMichele L. SchaeferScott T. WongDaniel R. Storm
- Topics
- 3D Printing in Biomedical Research (4 papers)Diabetic Foot Ulcer Assessment and Management (3 papers)Neuroscience and Neural Engineering (3 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Xavier A. Figueroa
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 565
- Molecular Biology 500
- Biomedical Engineering 382
- Genetics 329
- Endocrinology, Diabetes and Metabolism 237
Countries citing papers authored by Xavier A. Figueroa
This map shows the geographic impact of Xavier A. Figueroa'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 Xavier A. Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier A. Figueroa more than expected).
Fields of papers citing papers by Xavier A. Figueroa
This network shows the impact of papers produced by Xavier A. Figueroa. 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 Xavier A. Figueroa. The network helps show where Xavier A. Figueroa may publish in the future.
Co-authorship network of co-authors of Xavier A. Figueroa
This figure shows the co-authorship network connecting the top 25 collaborators of Xavier A. Figueroa. A scholar is included among the top collaborators of Xavier A. Figueroa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xavier A. Figueroa. Xavier A. Figueroa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | Clinical results in brain injury trials using HBO2 therapy: Another perspective. | 6 |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 66 | |
| 11 | 58 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | 3 | |
| 15 | 290 | |
| 16 | 62 | |
| 17 | 400 | |
| 18 | The Mitogen-Activated Protein Kinase Pathway Mediates Estrogen Neuroprotection after Glutamate Toxicity in Primary Cortical Neuronsbreakdown → | 506 |
About Xavier A. Figueroa
Xavier A. Figueroa is a scholar working on Biophysics, Sensory Systems and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (565 citations), Behavioral Neuroscience (56 citations) and Neurology (127 citations). Xavier A. Figueroa has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Robert H. Batchelor, Albert Folch, Cherie A. Singer, Anna Tourovskaia, Victor V. Pineda, Michele L. Schaefer, Scott T. Wong, Daniel R. Storm, Jaime Athos and Louis J. Muglia. Their work appears in journals such as Neuron, Journal of Neuroscience and Neurology.
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.