Fabio Bonelli

43 papers receiving 989 citations

Peers

Fabio Bonelli
Comparison fields: 5 of 89
  • Virology 164
  • Hepatology 155
  • Infectious Diseases 229
  • Spectroscopy 139
  • Molecular Biology 491
Replace Joanne J. Bronson with:
Joanne J. Bronson United States
Kyun‐Hwan Kim South Korea
Kaio Kitazato Japan
Zdeňek Zı́dek Czechia
Ann Webb Canada
Sijia Tao United States
Xulin Chen China
Steven E. Patterson United States
Longlong Si China
Brenda R. McDougall United States
Fabio Bonelli relative to Joanne J. Bronson United States Joanne J. Bronson's profile →
Citations per field
00.5×8.6×
Joanne J. Bronson · 1×
Citations per year

Countries citing papers authored by Fabio Bonelli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Bonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009184
2 2009125
3 200569
4 200363
5 200758
6 201153
7 200153
8
Inhibition of retinal and choroidal neovascularization by a novel KDR kinase inhibitor.
200538
9 199032
10 200631
11 200926
12 200925
13 200922
14 199021
15 199518
16 200518
17 202215
18 201715
19 200515
20 200815

About Fabio Bonelli

Fabio Bonelli is a scholar working on Hepatology, Virology, Spectroscopy, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Hepatitis C virus research (9 papers), HIV/AIDS drug development and treatment (9 papers), Chemical Synthesis and Analysis (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Analytical Chemistry and Chromatography (6 papers), Protein purification and stability (5 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (164 citations), Hepatology (155 citations), Infectious Diseases (229 citations), Spectroscopy (139 citations) and Molecular Biology (491 citations). Fabio Bonelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Edith Monteagudo, Vincenzo Pucci, Elisabetta Bianchi, Antonello Pessi, Anna B. Alfieri, Maria Veneziano, Serena Di Palma, Paolo Ingallinella, Thomas J. Ketas and John P. Moore. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Pharmaceutical and Biomedical Analysis, Journal of Peptide Science, Journal of Medicinal Chemistry and Journal of Mass Spectrometry.

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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