Guillermina Baay-Guzmán
- Co-authors
- Sara Huerta‐YépezMario I. VegaBenjamin BonavidaRogélio Hernández‐PandoCésar González-BonillaStavroula BaritakiOliver HankinsonMarc A. Riedl
- Topics
- Tuberculosis Research and Epidemiology (6 papers)Cancer, Hypoxia, and Metabolism (5 papers)Mycobacterium research and diagnosis (5 papers)
- Cited by
- PhysiologyCancer ResearchImmunology
- Journals
- BloodPLoS ONECHEST Journal
- Partner nations
- MexicoUnited StatesColombia
In The Last Decade
Guillermina Baay-Guzmán
27 papers receiving 527 citations
Peers
Comparison fields: 5 of 85
- Physiology 181
- Molecular Biology 149
- Immunology 113
- Cancer Research 101
- Epidemiology 90
Countries citing papers authored by Guillermina Baay-Guzmán
This map shows the geographic impact of Guillermina Baay-Guzmán'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 Guillermina Baay-Guzmán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermina Baay-Guzmán more than expected).
Fields of papers citing papers by Guillermina Baay-Guzmán
This network shows the impact of papers produced by Guillermina Baay-Guzmán. 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 Guillermina Baay-Guzmán. The network helps show where Guillermina Baay-Guzmán may publish in the future.
Co-authorship network of co-authors of Guillermina Baay-Guzmán
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermina Baay-Guzmán. A scholar is included among the top collaborators of Guillermina Baay-Guzmán 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 Guillermina Baay-Guzmán. Guillermina Baay-Guzmán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 88 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 39 | |
| 13 | 3 | |
| 14 | Hypoxia inducible transcription factor (HIF-1) regulates CXCL13 expression: Clinical implications in pediatric non-Hodgkin's lymphoma | 1 |
| 15 | 49 | |
| 16 | 34 | |
| 17 | 84 | |
| 18 | 26 | |
| 19 | 41 | |
| 20 | 31 |
About Guillermina Baay-Guzmán
Guillermina Baay-Guzmán is a scholar working on Behavioral Neuroscience, Cancer Research and Infectious Diseases, having authored 28 papers that have together received 535 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Physiology (181 citations), Cancer Research (101 citations) and Immunology (113 citations). Guillermina Baay-Guzmán has collaborated with scholars based in Mexico, United States and Colombia. Frequent co-authors include Sara Huerta‐Yépez, Mario I. Vega, Benjamin Bonavida, Rogélio Hernández‐Pando, César González-Bonilla, Stavroula Baritaki, Oliver Hankinson, Marc A. Riedl, Michelle Zeidler and Eric Kleerup. Their work appears in journals such as Blood, PLoS ONE and CHEST Journal.
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.