Monica E. Gianolini
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Reproductive System and Pregnancy
- Transplantation top 10%
Papers in
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
- Reproductive System and Pregnancy 2
- Immunotherapy and Immune Responses 2
- Surgery 2
- Pancreatic function and diabetes 1
- Co-authors
- Silvia Gregori (4 shared papers)Rosa Bacchetta (2 shared papers)Maria-Grazia Roncarolo (2 shared papers)Marco Andreani (2 shared papers)Nicola Gagliani (1 shared paper)Paula Licona-Limón (1 shared paper)Samuel Huber (1 shared paper)Leonie Brockmann (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Nature Medicine (1 paper)Virology (1 paper)Haematologica (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Monica E. Gianolini
7 papers receiving 893 citations
Monica E. Gianolini's Hit Papers
Peers
Comparison fields: 5 of 66
- Immunology 686
- Transplantation 26
- Hematology 105
- Oncology 238
- Virology 33
Countries citing papers authored by Monica E. Gianolini
This map shows the geographic impact of Monica E. Gianolini'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 Monica E. Gianolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica E. Gianolini more than expected).
Fields of papers citing papers by Monica E. Gianolini
This network shows the impact of papers produced by Monica E. Gianolini. 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 Monica E. Gianolini. The network helps show where Monica E. Gianolini may publish in the future.
Co-authors
The 25 scholars most cited alongside Monica E. Gianolini, 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 | Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells Hit paper breakdown → | 2013 | 607 |
| 2 | 2014 | 108 | |
| 3 | 2012 | 77 | |
| 4 | 2015 | 60 | |
| 5 | 2008 | 22 | |
| 6 | 2014 | 13 | |
| 7 | 2009 | 9 |
About Monica E. Gianolini
Monica E. Gianolini is a scholar working on Immunology, Surgery, Virology, Oncology and Hematology, having authored 7 papers that have together received 896 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), T-cell and B-cell Immunology (2 papers), Reproductive System and Pregnancy (2 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (686 citations), Transplantation (26 citations), Hematology (105 citations), Oncology (238 citations) and Virology (33 citations). Monica E. Gianolini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Silvia Gregori, Rosa Bacchetta, Maria-Grazia Roncarolo, Marco Andreani, Nicola Gagliani, Paula Licona-Limón, Samuel Huber, Leonie Brockmann, Alessandro Bulfone and Chiara F. Magnani. Their work appears in journals such as The Journal of Immunology, Nature Medicine, Virology, Haematologica and Frontiers in 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.