Guillermo Barila
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Microbiology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Daniel L. AltschulerMichal A. ElovitzAmy G. BrownDaniel HochbaumFernando Ribeiro-NetoLuz‐Jeannette SierraLauren AntonLindsey Kelly
- Topics
- Preterm Birth and Chorioamnionitis (6 papers)Neonatal and fetal brain pathology (4 papers)Pregnancy and preeclampsia studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Guillermo Barila
18 papers receiving 733 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 239
- Endocrinology, Diabetes and Metabolism 191
- Epidemiology 182
- Microbiology 112
- Pulmonary and Respiratory Medicine 108
Countries citing papers authored by Guillermo Barila
This map shows the geographic impact of Guillermo Barila'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 Guillermo Barila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Barila more than expected).
Fields of papers citing papers by Guillermo Barila
This network shows the impact of papers produced by Guillermo Barila. 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 Guillermo Barila. The network helps show where Guillermo Barila may publish in the future.
Co-authorship network of co-authors of Guillermo Barila
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Barila. A scholar is included among the top collaborators of Guillermo Barila 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 Guillermo Barila. Guillermo Barila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 33 | |
| 3 | 53 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 83 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 56 | |
| 14 | 32 | |
| 15 | 19 | |
| 16 | 70 | |
| 17 | 195 | |
| 18 | 34 | |
| 19 | 67 |
About Guillermo Barila
Guillermo Barila is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Obstetrics and Gynecology, having authored 19 papers that have together received 737 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (6 papers), Neonatal and fetal brain pathology (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Microbiology (112 citations), Endocrinology, Diabetes and Metabolism (191 citations) and Biological Psychiatry (27 citations). Guillermo Barila has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Daniel L. Altschuler, Michal A. Elovitz, Amy G. Brown, Daniel Hochbaum, Fernando Ribeiro-Neto, Luz‐Jeannette Sierra, Lauren Anton, Lindsey Kelly, Federica Panebianco and Yuri E. Nikiforov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.