Marino Convertino

1.0k citations
26 papers · 828 indexed · h-index 16
Topics
Computational Drug Discovery Methods (9 papers)Receptor Mechanisms and Signaling (8 papers)Protein Structure and Dynamics (7 papers)

In The Last Decade

Marino Convertino

26 papers receiving 824 citations

Peers

Marino Convertino
Comparison fields: 5 of 92
  • Molecular Biology 449
  • Physiology 353
  • Computational Theory and Mathematics 185
  • Pharmacology 153
  • Cellular and Molecular Neuroscience 152
Replace Gareth Waldron with:
Gareth Waldron United Kingdom
Irina N. Gaisina United States
A. A. Ustyugov Russia
Taizo Taniguchi Japan
Mariagioia Zampagni Italy
Stefan Lundquist Sweden
Mikko Gynther Finland
Stefan von Berg Sweden
Hyun‐Seok Hong South Korea
Marino Convertino relative to Gareth Waldron United Kingdom Gareth Waldron's profile →
Citations per field
00.5×1.6×
Gareth Waldron · 1×
Citations per year

Countries citing papers authored by Marino Convertino

Since Specialization
Citations

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

Fields of papers citing papers by Marino Convertino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marino Convertino

This figure shows the co-authorship network connecting the top 25 collaborators of Marino Convertino. A scholar is included among the top collaborators of Marino Convertino 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 Marino Convertino. Marino Convertino 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
#WorkIndexed citations
1 3
2 77
3 11
4 46
5 19
6 4
7 2
8 3
9 27
10 13
11 17
12 35
13 28
14 24
15 74
16 4
17 15
18 126
19 5
20 98

About Marino Convertino

Marino Convertino is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 26 papers that have together received 828 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (8 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Physiology (353 citations), Computational Theory and Mathematics (185 citations) and Pharmacology (153 citations). Marino Convertino has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Nikolay V. Dokholyan, Amedeo Caflisch, Riccardo Pellarin, Jhuma Das, Angelo Carotti, Marco Catto, Ehud Gazit, Daniel Segal, Andreas Vitalis and Anat Frydman‐Marom. Their work appears in journals such as Journal of Biological Chemistry, Neuron and PLoS ONE.

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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