Massimo Baroni

66 papers receiving 2.2k citations

Peers

Massimo Baroni
Comparison fields: 5 of 132
  • Computational Theory and Mathematics 995
  • Pharmacology 172
  • Analytical Chemistry 192
  • Molecular Biology 1.2k
  • Spectroscopy 262
Replace Vsevolod Yu. Tanchuk with:
Vsevolod Yu. Tanchuk Ukraine
Modest von Korff Switzerland
Hongmao Sun United States
William J. Egan United States
Chartchalerm Isarankura‐Na‐Ayudhya Thailand
Alexey Zakharov United States
Bernhard Rohde Switzerland
Eric Gifford United States
Manuel Pastor Spain
Ningning Wang China
Massimo Baroni relative to Vsevolod Yu. Tanchuk Ukraine Vsevolod Yu. Tanchuk's profile →
Citations per field
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Vsevolod Yu. Tanchuk · 1×
Citations per year

Countries citing papers authored by Massimo Baroni

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Baroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007377
2 1993327
3 1992119
4 1992113
5 201087
6 202176
7 201276
8 201576
9 200966
10 199365
11 201557
12 200449
13 200447
14 200544
15 200741
16 202240
17 201240
18 201439
19 200433
20 201232

About Massimo Baroni

Massimo Baroni is a scholar working on Molecular Biology, Computational Theory and Mathematics, Analytical Chemistry, Spectroscopy and Oncology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Spectroscopy and Chemometric Analyses (9 papers), Analytical Chemistry and Chromatography (8 papers), Protein Structure and Dynamics (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (995 citations), Pharmacology (172 citations), Analytical Chemistry (192 citations), Molecular Biology (1.2k citations) and Spectroscopy (262 citations). Massimo Baroni has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gabriele Cruciani, Sérgio Clementi, Simone Sciabola, Daniela Riganelli, Jonathan Mason, Francesca Perruccio, Gabriele Costantino, Laura Goracci, Simon Cross and Emanuele Carosati. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Chemometrics, Veterinary Clinical Pathology and Journal of Small Animal Practice.

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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