Gustavo Palacios
- Infectious Diseases top 0.1%
- Epidemiology top 1%
- Public Health, Environmental and Occupational Health top 0.5%
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- W. Ian LipkinThomas BrieseNazir SavjiAntônio TenórioStephen HutchisonMichael D. MillerJens H. KuhnJeffrey Hui
- Topics
- Viral Infections and Vectors (113 papers)Viral Infections and Outbreaks Research (66 papers)Viral gastroenteritis research and epidemiology (49 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Gustavo Palacios
250 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Infectious Diseases 5.7k
- Epidemiology 2.5k
- Public Health, Environmental and Occupational Health 2.2k
- Molecular Biology 1.9k
- Ecology, Evolution, Behavior and Systematics 980
Countries citing papers authored by Gustavo Palacios
This map shows the geographic impact of Gustavo Palacios'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 Gustavo Palacios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Palacios more than expected).
Fields of papers citing papers by Gustavo Palacios
This network shows the impact of papers produced by Gustavo Palacios. 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 Gustavo Palacios. The network helps show where Gustavo Palacios may publish in the future.
Co-authorship network of co-authors of Gustavo Palacios
This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Palacios. A scholar is included among the top collaborators of Gustavo Palacios 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 Gustavo Palacios. Gustavo Palacios 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 | 3 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | SLC38A2 and glutamine signalling in cDC1s dictate anti-tumour immunitybreakdown → | 154 |
| 6 | 45 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | Lipid signalling enforces functional specialization of Treg cells in tumoursbreakdown → | 286 |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 31 | |
| 16 | 41 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 87 | |
| 20 | Epidemiología de los enterovirus asociados a enfermedades neurológicas Epidemiology of enterovirus associated with neurologic diseases | 2 |
About Gustavo Palacios
Gustavo Palacios is a scholar working on Infectious Diseases, Endocrinology and Virology, having authored 259 papers that have together received 10.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (113 papers), Viral Infections and Outbreaks Research (66 papers) and Viral gastroenteritis research and epidemiology (49 papers). The work is most often cited by research in Infectious Diseases (5.7k citations), Virology (542 citations) and Public Health, Environmental and Occupational Health (2.2k citations). Gustavo Palacios has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include W. Ian Lipkin, Thomas Briese, Nazir Savji, Antônio Tenório, Stephen Hutchison, Michael D. Miller, Jens H. Kuhn, Jeffrey Hui, M. Steven Oberste and Ute M. Moll. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.