Gioconda San-Blas
- Epidemiology top 1%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Cell Biology top 1%
- Plant Science top 2%
- Co-authors
- Felipe San-BlasGustavo A. Niño‐VegaEduardo BagagliMarcus de Melo TeixeiraMaria Sueli Soares FelipeRaquel Cordeiro TheodoroTeresa IturriagaJohn W. Taylor
- Topics
- Fungal Infections and Studies (62 papers)Plant Pathogens and Fungal Diseases (25 papers)Yeasts and Rust Fungi Studies (21 papers)
- Partner nations
- VenezuelaBrazilUnited States
In The Last Decade
Gioconda San-Blas
89 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 2.1k
- Infectious Diseases 1.3k
- Molecular Biology 1.0k
- Cell Biology 935
- Plant Science 840
Countries citing papers authored by Gioconda San-Blas
This map shows the geographic impact of Gioconda San-Blas'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 Gioconda San-Blas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gioconda San-Blas more than expected).
Fields of papers citing papers by Gioconda San-Blas
This network shows the impact of papers produced by Gioconda San-Blas. 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 Gioconda San-Blas. The network helps show where Gioconda San-Blas may publish in the future.
Co-authorship network of co-authors of Gioconda San-Blas
This figure shows the co-authorship network connecting the top 25 collaborators of Gioconda San-Blas. A scholar is included among the top collaborators of Gioconda San-Blas 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 Gioconda San-Blas. Gioconda San-Blas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 121 | |
| 3 | 24 | |
| 4 | 114 | |
| 5 | 40 | |
| 6 | 30 | |
| 7 | 9 | |
| 8 | Pathogenic fungi : insights in molecular biology | 14 |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 254 | |
| 12 | 32 | |
| 13 | 162 | |
| 14 | 21 | |
| 15 | 12 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 26 | |
| 19 | Paracoccidioidomycosis: the systemic mycosis of Latin America. | 1 |
| 20 | 27 |
About Gioconda San-Blas
Gioconda San-Blas is a scholar working on Epidemiology, Cell Biology and Biotechnology, having authored 90 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fungal Infections and Studies (62 papers), Plant Pathogens and Fungal Diseases (25 papers) and Yeasts and Rust Fungi Studies (21 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Epidemiology (2.1k citations) and Cell Biology (935 citations). Gioconda San-Blas has collaborated with scholars based in Venezuela, Brazil and United States. Frequent co-authors include Felipe San-Blas, Gustavo A. Niño‐Vega, Eduardo Bagagli, Marcus de Melo Teixeira, Maria Sueli Soares Felipe, Raquel Cordeiro Theodoro, Teresa Iturriaga, John W. Taylor, Jos x E Ruiz-Herrera and Rosane Christine Hahn. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Bacteriology.
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.