Delfina Peña
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
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- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
Papers in
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- Tuberculosis Research and Epidemiology 5
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- Mycobacterium research and diagnosis 3
- Co-authors
- Domingo Palmero (5 shared papers)Rosa Musella (5 shared papers)Verónica García (6 shared papers)Laura Álvarez (3 shared papers)María Alejandra García (3 shared papers)Diana Kleiman de Pisarev (3 shared papers)Claudia Cocca (3 shared papers)Carolina Pontillo (3 shared papers)
- Journals
- Toxicological Sciences (1 paper)Autophagy (1 paper)Immunology and Cell Biology (1 paper)Journal of Leukocyte Biology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- ArgentinaFranceUnited States
In The Last Decade
Delfina Peña
10 papers receiving 356 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 157
- Immunology 130
- Epidemiology 139
- Health, Toxicology and Mutagenesis 53
- Cancer Research 40
Countries citing papers authored by Delfina Peña
This map shows the geographic impact of Delfina Peña'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 Delfina Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delfina Peña more than expected).
Fields of papers citing papers by Delfina Peña
This network shows the impact of papers produced by Delfina Peña. 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 Delfina Peña. The network helps show where Delfina Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Delfina Peña, 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 | 2012 | 129 | |
| 2 | 2014 | 62 | |
| 3 | 2009 | 48 | |
| 4 | 2010 | 45 | |
| 5 | 2012 | 33 | |
| 6 | 2015 | 22 | |
| 7 | [OKT-8+ suppressor T-lymphocytes are increased in patients with stable multiple myeloma]. | 1983 | 7 |
| 8 | 2017 | 7 | |
| 9 | 2013 | 3 | |
| 10 | 2013 | 3 |
About Delfina Peña
Delfina Peña is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Genetics, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Estrogen and related hormone effects (3 papers), Mycobacterium research and diagnosis (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), Immune Cell Function and Interaction (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Infectious Diseases (157 citations), Immunology (130 citations), Epidemiology (139 citations), Health, Toxicology and Mutagenesis (53 citations) and Cancer Research (40 citations). Delfina Peña has collaborated with scholars based in Argentina, France and United States. Frequent co-authors include Domingo Palmero, Rosa Musella, Verónica García, Laura Álvarez, María Alejandra García, Diana Kleiman de Pisarev, Claudia Cocca, Carolina Pontillo, Andrea Randi and Virginia Pasquinelli. Their work appears in journals such as Toxicological Sciences, Autophagy, Immunology and Cell Biology, Journal of Leukocyte Biology and The Journal of 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.