Irene Puga
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immunodeficiency and Autoimmune Disorders
- Virology top 10%
Papers in
- Immunology 15
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 4
- Immunodeficiency and Autoimmune Disorders 3
- interferon and immune responses 1
- Co-authors
- Andrea CeruttiMontserrat ColsFernando MaciánGiuliana MagriAnjana RaoSanmay BandyopadhyayCarolina BarraAlejo Chorny
- Journals
- The Journal of Immunology (2 papers)The Journal of Cell Biology (1 paper)Nature reviews. Immunology (1 paper)Endocrinology (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesSpainSweden
In The Last Decade
Irene Puga
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.1k
- Virology 46
- Genetics 101
- Immunology and Allergy 46
- Cancer Research 95
Countries citing papers authored by Irene Puga
This map shows the geographic impact of Irene Puga'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 Irene Puga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Puga more than expected).
Fields of papers citing papers by Irene Puga
This network shows the impact of papers produced by Irene Puga. 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 Irene Puga. The network helps show where Irene Puga may publish in the future.
Co-authors
The 25 scholars most cited alongside Irene Puga, 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 | 2014 | 221 | |
| 2 | 2014 | 109 | |
| 3 | Marginal zone B cells: virtues of innate-like antibody-producing lymphocytes Hit paper breakdown → | 2013 | 533 |
| 4 | 2013 | 59 | |
| 5 | 2012 | 14 | |
| 6 | 2012 | 25 | |
| 7 | 2012 | 70 | |
| 8 | 2012 | 2 | |
| 9 | 2012 | 40 | |
| 10 | 2011 | 42 | |
| 11 | 2011 | 80 | |
| 12 | 2010 | 30 | |
| 13 | 2010 | 41 | |
| 14 | 2009 | 62 | |
| 15 | 2009 | 3 | |
| 16 | 2008 | 52 | |
| 17 | 2006 | 74 | |
| 18 | 2005 | 34 | |
| 19 | 2003 | 3 |
About Irene Puga
Irene Puga is a scholar working on Immunology, Nephrology, Oncology, Molecular Biology and Genetics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Signaling Pathways in Disease (3 papers), CAR-T cell therapy research (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (1.1k citations), Virology (46 citations), Genetics (101 citations), Immunology and Allergy (46 citations) and Cancer Research (95 citations). Irene Puga has collaborated with scholars based in United States, Spain and Sweden. Frequent co-authors include Andrea Cerutti, Montserrat Cols, Fernando Macián, Giuliana Magri, Anjana Rao, Sanmay Bandyopadhyay, Carolina Barra, Alejo Chorny, Linda Cassis and Sidonia Fagarasan. Their work appears in journals such as The Journal of Immunology, The Journal of Cell Biology, Nature reviews. Immunology, Endocrinology and Journal of Leukocyte Biology.
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.