Carlos Pomilio
- Physiology top 10%
- Neurology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Co-authors
- Flavia SaraviaJuan BeauquisÁngeles VinuesaVerónica GalvánRoxana Mayra GorojodAgustina AlaimoMónica L. KotlerJessica Presa
- Topics
- Alzheimer's disease research and treatments (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Statistics Education and Methodologies (4 papers)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Carlos Pomilio
20 papers receiving 692 citations
Peers
Comparison fields: 5 of 88
- Physiology 348
- Neurology 263
- Molecular Biology 153
- Cellular and Molecular Neuroscience 124
- Epidemiology 106
Countries citing papers authored by Carlos Pomilio
This map shows the geographic impact of Carlos Pomilio'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 Carlos Pomilio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Pomilio more than expected).
Fields of papers citing papers by Carlos Pomilio
This network shows the impact of papers produced by Carlos Pomilio. 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 Carlos Pomilio. The network helps show where Carlos Pomilio may publish in the future.
Co-authorship network of co-authors of Carlos Pomilio
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Pomilio. A scholar is included among the top collaborators of Carlos Pomilio 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 Carlos Pomilio. Carlos Pomilio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 27 | |
| 5 | 60 | |
| 6 | 83 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 60 | |
| 12 | 16 | |
| 13 | 50 | |
| 14 | Análisis de actividades sobre estadística descriptiva en libros de educación media: ¿Qué se pretende que los estudiantes aprendan? | 2 |
| 15 | Análisis de actividades sobre estadística descriptiva en libros de educación media: ¿Qué se pretende que los estudiantes aprendan? Analysis of activities concerning to statistics in high school textbooks: What do we want students to learn? | 1 |
| 16 | 64 | |
| 17 | 59 | |
| 18 | 0 | |
| 19 | 84 | |
| 20 | 140 |
About Carlos Pomilio
Carlos Pomilio is a scholar working on Neurology, Aging and Statistics and Probability, having authored 21 papers that have together received 700 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Statistics Education and Methodologies (4 papers). The work is most often cited by research in Neurology (263 citations), Biological Psychiatry (63 citations) and Developmental Neuroscience (85 citations). Carlos Pomilio has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Flavia Saravia, Juan Beauquis, Ángeles Vinuesa, Verónica Galván, Roxana Mayra Gorojod, Agustina Alaimo, Mónica L. Kotler, Jessica Presa, Natalia Podlutskaya and Soledad Porte Alcón. Their work appears in journals such as Free Radical Biology and Medicine, Life Sciences and Experimental 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.