Plácida Baz

547 citations
13 papers · 425 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • 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
    • Liver Disease Diagnosis and Treatment 2
    • Adipokines, Inflammation, and Metabolic Diseases 1

Plácida Baz

12 papers receiving 420 citations

Peers

Plácida Baz
Comparison fields: 5 of 68
  • Immunology 150
  • Hepatology 42
  • Physiology 27
  • Epidemiology 151
  • Virology 13
Replace Luis Ariel Billordo with:
Luis Ariel Billordo Argentina
Prakash Gupta United Kingdom
Sandrine Delbauve Belgium
Z Garcia United States
Maria E. Joosse Netherlands
Ling Qin China
S. Adi United States
Fuyan Sun Japan
N Sartory Germany
Plácida Baz relative to Luis Ariel Billordo Argentina Luis Ariel Billordo's profile →
Citations per field
00.5×1.5×
Luis Ariel Billordo · 1×
Citations per year

Countries citing papers authored by Plácida Baz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Plácida Baz Line = papers co-authored together Plácida Baz links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201696
2 201267
3 201864
4 201757
5 201451
6 201330
7 201421
8 202110
9 201710
10 20219
11 20129
12 20141
13 20250

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 425 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 (150 citations), Hepatology (42 citations), Physiology (27 citations), Epidemiology (151 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, Alejandra C. Cherñavsky, Elena De Matteo, María Eugenia Inzaugarat, Cristina Galoppo, Marcela Galoppo, Ariel Podhorzer and Diego Lucero. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, PLoS ONE, Immunology and Cell Biology and Journal of Hepatology.

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.

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