G. Doria

1.7k citations
63 papers · 1.4k · h-index 21

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Aging top 10%

Papers in

    • 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
    • Monoclonal and Polyclonal Antibodies Research 12

G. Doria

60 papers receiving 1.2k citations

Peers

G. Doria
Comparison fields: 5 of 92
  • Immunology 764
  • Aging 31
  • Radiology, Nuclear Medicine and Imaging 258
  • Endocrine and Autonomic Systems 62
  • Immunology and Allergy 40
Replace Paul Szabo with:
Paul Szabo United States
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M. C. Fung Hong Kong
Kenneth J. Blank United States
Marion M. Zatz United States
Fabio R. Santori United States
Stefanie Derer Germany
Harvey R. Kaslow United States
Catherine Astarie‐Dequeker France
Alisha R. Elford Canada
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Citations per field
00.5×3.9×
Paul Szabo · 1×
Citations per year

Countries citing papers authored by G. Doria

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with G. Doria Line = papers co-authored together G. Doria links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988196
2 196990
3 198870
4 199069
5 198868
6 197063
7 198960
8 198958
9
Age-dependent variations of antibody avidity.
197851
10 198541
11 198841
12 197239
13 199437
14 199226
15 197226
16 200525
17 200025
18 198123
19 200823
20 199222

About G. Doria

G. Doria is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Epidemiology, having authored 63 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), CAR-T cell therapy research (4 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Immunology (764 citations), Aging (31 citations), Radiology, Nuclear Medicine and Imaging (258 citations), Endocrine and Autonomic Systems (62 citations) and Immunology and Allergy (40 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, Maria Cristina Caroleo and Simona Di Pietro. 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.

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