Irma Airoldi
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Oncology top 2%
- CAR-T cell therapy research
- Cytokine Signaling Pathways and Interactions
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 57
- Immune Cell Function and Interaction 33
- T-cell and B-cell Immunology 18
- Immunotherapy and Immune Responses 15
- Immune Response and Inflammation 9
- Hematology 17
- Multiple Myeloma Research and Treatments 8
- Co-authors
- Vito Pistoia (41 shared papers)Claudia Cocco (31 shared papers)Fabio Morandi (23 shared papers)Emma Di Carlo (22 shared papers)Ignazia Prigione (11 shared papers)Alice Bertaina (7 shared papers)Doménico Ribatti (13 shared papers)Giulia Barbarito (6 shared papers)
- Journals
- Blood (14 papers)Clinical Cancer Research (7 papers)Leukemia (6 papers)Oncotarget (5 papers)Cells (4 papers)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Irma Airoldi
91 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 95
- Immunology 1.9k
- Oncology 1.4k
- Hematology 492
- Cancer Research 301
- Neurology 274
Countries citing papers authored by Irma Airoldi
This map shows the geographic impact of Irma Airoldi'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 Irma Airoldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irma Airoldi more than expected).
Fields of papers citing papers by Irma Airoldi
This network shows the impact of papers produced by Irma Airoldi. 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 Irma Airoldi. The network helps show where Irma Airoldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Irma Airoldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 228 | |
| 2 | 2015 | 200 | |
| 3 | 2016 | 157 | |
| 4 | 2015 | 122 | |
| 5 | 2020 | 115 | |
| 6 | 2005 | 98 | |
| 7 | 2013 | 97 | |
| 8 | 2000 | 94 | |
| 9 | 2000 | 90 | |
| 10 | 2010 | 85 | |
| 11 | 2020 | 74 | |
| 12 | 2005 | 72 | |
| 13 | 2012 | 71 | |
| 14 | 2007 | 69 | |
| 15 | 1999 | 68 | |
| 16 | 2019 | 68 | |
| 17 | 2016 | 60 | |
| 18 | 2011 | 55 | |
| 19 | 2007 | 54 | |
| 20 | 2015 | 51 |
About Irma Airoldi
Irma Airoldi is a scholar working on Immunology, Hematology, Oncology, Neurology and Cancer Research, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (18 papers), Immunotherapy and Immune Responses (15 papers), Neuroblastoma Research and Treatments (9 papers), Immune Response and Inflammation (9 papers), Multiple Myeloma Research and Treatments (8 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.4k citations), Hematology (492 citations), Cancer Research (301 citations) and Neurology (274 citations). Irma Airoldi has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Vito Pistoia, Claudia Cocco, Fabio Morandi, Emma Di Carlo, Ignazia Prigione, Alice Bertaina, Doménico Ribatti, Giulia Barbarito, Lizzia Raffaghello and Emanuela Ognio. Their work appears in journals such as Blood, Clinical Cancer Research, Leukemia, Oncotarget and Cells.
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.