Plácida Baz
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Physiology top 10%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
Papers in
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 2
- IL-33, ST2, and ILC Pathways 2
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- Liver Disease Diagnosis and Treatment 2
- Adipokines, Inflammation, and Metabolic Diseases 1
- Co-authors
- Leonardo Fainboim (6 shared papers)Luis Ariel Billordo (8 shared papers)Lourdes Arruvito (4 shared papers)María Eugenia Inzaugarat (3 shared papers)Elena De Matteo (3 shared papers)Alejandra C. Cherñavsky (4 shared papers)Marcela Galoppo (1 shared paper)Cristina Galoppo (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)PLoS ONE (2 papers)The Journal of Immunology (2 papers)Journal of Hepatology (1 paper)Clinical Immunology (1 paper)
- Partner nations
- Argentina
In The Last Decade
Plácida Baz
12 papers receiving 416 citations
Peers
Comparison fields: 5 of 68
- Immunology 149
- Physiology 27
- Hepatology 41
- Epidemiology 147
- Virology 13
Countries citing papers authored by Plácida Baz
This map shows the geographic impact of Plácida Baz'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 Plácida Baz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Plácida Baz more than expected).
Fields of papers citing papers by Plácida Baz
This network shows the impact of papers produced by Plácida Baz. 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 Plácida Baz. The network helps show where Plácida Baz may publish in the future.
Co-authors
The 25 scholars most cited alongside Plácida Baz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2012 | 64 | |
| 3 | 2018 | 64 | |
| 4 | 2017 | 56 | |
| 5 | 2014 | 51 | |
| 6 | 2013 | 30 | |
| 7 | 2014 | 21 | |
| 8 | 2021 | 10 | |
| 9 | 2017 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2012 | 9 | |
| 12 | 2014 | 1 | |
| 13 | 2025 | 0 |
About Plácida Baz
Plácida Baz is a scholar working on Immunology, Epidemiology, Molecular Biology, Virology and Oncology, having authored 13 papers that have together received 420 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Immunology (149 citations), Physiology (27 citations), Hepatology (41 citations), Epidemiology (147 citations) and Virology (13 citations). Plácida Baz has collaborated with scholars based in Argentina. Frequent co-authors include Leonardo Fainboim, Luis Ariel Billordo, Lourdes Arruvito, María Eugenia Inzaugarat, Elena De Matteo, Alejandra C. Cherñavsky, Marcela Galoppo, Cristina Galoppo, Pablo Fernández and Diego Lucero. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, The Journal of Immunology, Journal of Hepatology and Clinical 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.