Fabio Dall’Olio

4.3k citations
96 papers · 3.4k indexed · h-index 35

Impact in

  • Immunology top 2%
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Glycosylation and Glycoproteins Research

Papers in

Fabio Dall’Olio

96 papers receiving 3.4k citations

Peers

Fabio Dall’Olio
Comparison fields: 5 of 106
  • Immunology 1.5k
  • Molecular Biology 2.7k
  • Biotechnology 264
  • Cell Biology 397
  • Radiology, Nuclear Medicine and Imaging 553
Replace Tongzhong Ju with:
Tongzhong Ju United States
Joseph T.Y. Lau United States
Salomé S. Pinho Portugal
Akihiko Kameyama Japan
Nicolas Moniaux United States
R.B. Parekh United Kingdom
Nadia Malagolini Italy
Bruce A. Macher United States
Nechama I. Smorodinsky Israel
Yoshiki Narimatsu Denmark
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Citations per field
00.5×1.5×
Tongzhong Ju · 1×
Citations per year

Countries citing papers authored by Fabio Dall’Olio

Since Specialization
Citations

This map shows the geographic impact of Fabio Dall’Olio'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 Fabio Dall’Olio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Dall’Olio more than expected).

Fields of papers citing papers by Fabio Dall’Olio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Dall’Olio. 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 Fabio Dall’Olio. The network helps show where Fabio Dall’Olio may publish in the future.

Co-authors

The 25 scholars most cited alongside Fabio Dall’Olio, 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 Fabio Dall’Olio Line = papers co-authored together Fabio Dall’Olio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 20231
4 201441
5 201489
6 201347
7 2011122
8 200751
9 200450
10 200373
11 200128
12 200127
13 199938
14 19949
15 199117
16 199126
17 19905
18 198926
19 198951
20 198827

About Fabio Dall’Olio

Fabio Dall’Olio is a scholar working on Immunology, Biotechnology, Molecular Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (87 papers), Galectins and Cancer Biology (36 papers), Carbohydrate Chemistry and Synthesis (25 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Cancer Research and Treatments (10 papers), Cell Adhesion Molecules Research (6 papers), RNA modifications and cancer (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Immunology (1.5k citations), Molecular Biology (2.7k citations), Biotechnology (264 citations), Cell Biology (397 citations) and Radiology, Nuclear Medicine and Imaging (553 citations). Fabio Dall’Olio has collaborated with scholars based in Italy, Portugal and France. Frequent co-authors include Nadia Malagolini, Mariella Chiricolo, Franca Serafini‐Cessi, Marco Trinchera, Gabriella Campadelli‐Fiume, Paula A. Videira, Joseph T.Y. Lau, Claudio Franceschi, P. Eline Slagboom and Valerie Vanhooren. Their work appears in journals such as Glycobiology, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications, Journal of Virology and The International Journal of Biochemistry & Cell Biology.

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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