Roberto Bei

9.2k citations
156 papers · 5.2k · h-index 40

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 14
    • RNA Interference and Gene Delivery 9
    • Immunotherapy and Immune Responses 19
    • Immune Cell Function and Interaction 13

Roberto Bei

153 papers receiving 5.0k citations

Peers

Roberto Bei
Comparison fields: 5 of 140
  • Biochemistry 330
  • Clinical Biochemistry 295
  • Molecular Medicine 218
  • Immunology 876
  • Oncology 911
Replace Hong Cai with:
Hong Cai China
Sunil K. Manna India
Masanori Kitamura Japan
Dongwei Zhang China
Tariq M. Haqqi United States
Mary Pat Moyer United States
Qilong Wang China
Massoud Saidijam Iran
Antonio Macho Spain
Wonhwa Lee South Korea
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Roberto Bei

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Bei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Bei. 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 Roberto Bei. The network helps show where Roberto Bei may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003324
2 2000309
3 2015260
4 2013193
5 2011147
6 2006129
7 2004123
8 2003120
9 2015105
10 201696
11 200594
12 201791
13 201488
14 200482
15 201180
16 200878
17 201767
18 200766
19 201765
20 200165

About Roberto Bei

Roberto Bei is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 156 papers that have together received 5.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (24 papers), Immunotherapy and Immune Responses (19 papers), Glycosylation and Glycoproteins Research (14 papers), Immune Cell Function and Interaction (13 papers), Occupational and environmental lung diseases (10 papers), RNA Interference and Gene Delivery (9 papers), Autophagy in Disease and Therapy (8 papers) and Cancer Research and Treatments (8 papers). The work is most often cited by research in Biochemistry (330 citations), Clinical Biochemistry (295 citations), Molecular Medicine (218 citations), Immunology (876 citations) and Oncology (911 citations). Roberto Bei has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Laura Masuelli, Andrea Modesti, Monica Benvenuto, Massimo Fantini, Ilaria Tresoldi, Raffaella Muraro, Giovanni Vanni Frajese, Maria Gabriella Giganti, Laura Marzocchella and Camilla Palumbo. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in bioscience, International Journal of Oncology, Oncotarget and The Journal of Pathology.

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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