Monica E. Gianolini
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Reproductive System and Pregnancy 2
- T-cell and B-cell Immunology 2
- Surgery 2
- Genital Health and Disease 1
- Co-authors
- Silvia Gregori (4 shared papers)Rosa Bacchetta (2 shared papers)Marco Andreani (2 shared papers)Maria-Grazia Roncarolo (2 shared papers)Filippo Trentini (1 shared paper)Nicola Gagliani (1 shared paper)Alessandro Bulfone (1 shared paper)Paula Licona-Limón (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)The Journal of Immunology (1 paper)Haematologica (1 paper)Virology (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Monica E. Gianolini
7 papers receiving 936 citations
Monica E. Gianolini's Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology 677
- Hematology 106
- Oncology 242
- Transplantation 22
- Virology 29
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 | 636 |
| 2 | 2014 | 117 | |
| 3 | 2012 | 79 | |
| 4 | 2015 | 63 | |
| 5 | 2008 | 23 | |
| 6 | 2014 | 14 | |
| 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 941 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers), Reproductive System and Pregnancy (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Genital Health and Disease (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Immunology (677 citations), Hematology (106 citations), Oncology (242 citations), Transplantation (22 citations) and Virology (29 citations). Monica E. Gianolini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Silvia Gregori, Rosa Bacchetta, Marco Andreani, Maria-Grazia Roncarolo, Filippo Trentini, Nicola Gagliani, Alessandro Bulfone, Paula Licona-Limón, De’Broski R. Herbert and Samuel Huber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine, The Journal of Immunology, Haematologica and Virology.
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.