Giovanni Minervini

4.3k total citations
78 papers, 1.9k citations indexed

About

Giovanni Minervini is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Giovanni Minervini has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 18 papers in Cancer Research and 10 papers in Materials Chemistry. Recurrent topics in Giovanni Minervini's work include Protein Structure and Dynamics (16 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Machine Learning in Bioinformatics (10 papers). Giovanni Minervini is often cited by papers focused on Protein Structure and Dynamics (16 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Machine Learning in Bioinformatics (10 papers). Giovanni Minervini collaborates with scholars based in Italy, Poland and United Kingdom. Giovanni Minervini's co-authors include Silvio C. E. Tosatto, Damiano Piovesan, Fabio Polticelli, Anna Atlante, Valentina Giorgio, Ian Walsh, Paolo Bernardi, Valeria Petronilli, Ersilia Marra and Pietro Calissano and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Giovanni Minervini

75 papers receiving 1.9k citations

Peers

Giovanni Minervini
Comparison fields: 5 of 131
  • Molecular Biology 1.4k
  • Cancer Research 207
  • Cellular and Molecular Neuroscience 160
  • Genetics 134
  • Cell Biology 133
Replace Victor G. Zgoda with:
Victor G. Zgoda Russia
Jihong Yang China
Rilei Yu China
Barbara Becattini Sweden
Stéphanie Grandemange France
Alessandro Pandini United Kingdom
Scott J. Novick United States
HaJeung Park United States
Balasundaram Padmanabhan India
Huayun Deng United States
Victor G. Zgoda Russia View profile →
Citations per field, relative to Giovanni Minervini
Giovanni Minervini · 1×
Citations per year, relative to Giovanni Minervini
Giovanni Minervini · 1×

Countries citing papers authored by Giovanni Minervini

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Minervini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Minervini

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Minervini. A scholar is included among the top collaborators of Giovanni Minervini 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 Giovanni Minervini. Giovanni Minervini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 2
5 12
6 13
7 26
8 3
9 28
10 40
11 9
12 19
13 26
14 15
15 23
16 11
17
RANDOMBLAST A TOOL TO GENERATE RANDOM “NEVER BORN PROTEIN” SEQUENCES
7
18
HIGH THROUGHPUT PROTEIN STRUCTURE PREDICTION IN A GRID ENVIRONMENT
2
19 46
20
Botryosphaeria dothidea associated with Platanus canker. Symptoms and mycological research
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026