Giuliano Berellini

2.0k citations
14 papers · 622 indexed · h-index 12
Topics
Computational Drug Discovery Methods (13 papers)Analytical Chemistry and Chromatography (6 papers)Pharmacogenetics and Drug Metabolism (6 papers)

In The Last Decade

Giuliano Berellini

14 papers receiving 603 citations

Peers

Giuliano Berellini
Comparison fields: 5 of 73
  • Computational Theory and Mathematics 318
  • Pharmacology 241
  • Molecular Biology 203
  • Spectroscopy 130
  • Oncology 113
Replace Christopher Keefer with:
Christopher Keefer United States
Stuart W. Paine United Kingdom
Susan Cole United Kingdom
Hugues Dolgos Germany
Mark C. Wenlock United Kingdom
Viera Lukáčová United States
Lovisa Afzelius Sweden
Ken Grime United Kingdom
Michael Zientek United States
Teresa Krieger-Burke United States
Giuliano Berellini relative to Christopher Keefer United States Christopher Keefer's profile →
Citations per field
00.5×1.6×
Christopher Keefer · 1×
Citations per year

Countries citing papers authored by Giuliano Berellini

Since Specialization
Citations

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

Fields of papers citing papers by Giuliano Berellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuliano Berellini

This figure shows the co-authorship network connecting the top 25 collaborators of Giuliano Berellini. A scholar is included among the top collaborators of Giuliano Berellini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giuliano Berellini. Giuliano Berellini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 8
2 30
3 20
4 105
5 6
6 12
7 46
8 72
9 57
10 45
11 35
12 61
13 77
14 48

About Giuliano Berellini

Giuliano Berellini is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 14 papers that have together received 622 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Pharmacology (241 citations), Computational Theory and Mathematics (318 citations) and Spectroscopy (130 citations). Giuliano Berellini has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Franco Lombardo, R. Scott Obach, Nigel J. Waters, Cosimo G. Fortuna, Giuseppe Musumarra, Vincenza Barresi, Raimund Mannhold, Gabriele Cruciani, Clayton Springer and Michelle K. Dennehy. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences and Drug Discovery Today.

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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