G. Doria
- Immunology top 5%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 9
- Immune Response and Inflammation 7
- Reproductive System and Pregnancy 6
- Immunotherapy and Immune Responses 6
- Aging top 10%
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- Monoclonal and Polyclonal Antibodies Research 12
- Effects of Radiation Exposure 4
- Endocrine and Autonomic Systems top 10%
- Immunology and Allergy top 10%
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- CAR-T cell therapy research 4
- Co-authors
- Luciano AdoriniEttore AppellaZoltán Á. NagyDaniela FrascaCamillo ManciniKai ZhaoH. BazinGiacomo D’Agostaro
- Journals
- The Journal of Immunology (14 papers)Proceedings of the National Academy of Sciences (6 papers)Annals of the New York Academy of Sciences (3 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
G. Doria
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Immunology 805
- Aging 32
- Radiology, Nuclear Medicine and Imaging 266
- Endocrine and Autonomic Systems 67
- Immunology and Allergy 42
Countries citing papers authored by G. Doria
This map shows the geographic impact of G. Doria'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 G. Doria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Doria more than expected).
Fields of papers citing papers by G. Doria
This network shows the impact of papers produced by G. Doria. 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 G. Doria. The network helps show where G. Doria may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Doria, 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 | 2008 | 23 | |
| 2 | 2001 | 4 | |
| 3 | 2000 | 25 | |
| 4 | 1996 | 30 | |
| 5 | 1994 | 37 | |
| 6 | 1992 | 12 | |
| 7 | 1992 | 22 | |
| 8 | 1990 | 1 | |
| 9 | 1989 | 17 | |
| 10 | 1989 | 1 | |
| 11 | 1989 | 15 | |
| 12 | 1988 | 10 | |
| 13 | 1988 | 196 | |
| 14 | 1988 | 68 | |
| 15 | 1987 | 17 | |
| 16 | 1982 | 3 | |
| 17 | 1981 | 10 | |
| 18 | Biological effects of Escherichia coli lipopolysaccharide (LPS) in vivo. II. Selection in the mouse thymus of PHA- and con A-responsive cells. | 1976 | 14 |
| 19 | ROLE OF THE THYMUS IN THE RECOVERY OF THE IMMUNE SYSTEM OF RADIATION CHIMERAS. | 1968 | 1 |
| 20 | 1964 | 5 |
About G. Doria
G. Doria is a scholar working on Immunology, Aging and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (9 papers), Immune Response and Inflammation (7 papers), Reproductive System and Pregnancy (6 papers), Immunotherapy and Immune Responses (6 papers), Effects of Radiation Exposure (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Immunology (805 citations), Aging (32 citations) and Radiology, Nuclear Medicine and Imaging (266 citations). G. Doria has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Luciano Adorini, Ettore Appella, Zoltán Á. Nagy, Daniela Frasca, Camillo Mancini, Kai Zhao, H. Bazin, Giacomo D’Agostaro, Giuseppe Nisticò and Maria Cristina Caroleo. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences, The Journal of Experimental Medicine and Pharmacological Research.
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.