Maicol Bissaro

416 citations
18 papers · 288 indexed · h-index 12
Topics
Computational Drug Discovery Methods (8 papers)Protein Structure and Dynamics (6 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)
Partner nations
ItalyUnited KingdomSpain

In The Last Decade

Maicol Bissaro

18 papers receiving 282 citations

Peers

Maicol Bissaro
Comparison fields: 5 of 66
  • Molecular Biology 197
  • Computational Theory and Mathematics 98
  • Organic Chemistry 64
  • Infectious Diseases 59
  • Pharmacology 27
Replace Giovanni Bolcato with:
Giovanni Bolcato Italy
Karina B. Santos Brazil
Sabine Schultes Austria
Barkın Berk Türkiye
Mahesh A. Barmade India
Iain T. Collie United Kingdom
Raghu Prasad Mailavaram India
Manjiong Wang China
Olivier Pamlard France
Szymon Pach Germany
Maicol Bissaro relative to Giovanni Bolcato Italy Giovanni Bolcato's profile →
Citations per field
00.5×3.5×
Giovanni Bolcato · 1×
Citations per year

Countries citing papers authored by Maicol Bissaro

Since Specialization
Citations

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

Fields of papers citing papers by Maicol Bissaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maicol Bissaro

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 12
3 5
4 2
5 14
6 16
7 17
8 48
9 49
10 5
11 5
12 11
13 12
14 21
15 14
16 6
17 15
18 30

About Maicol Bissaro

Maicol Bissaro is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 18 papers that have together received 288 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (98 citations), Drug Discovery (1 citation) and Physiology (19 citations). Maicol Bissaro has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Stefano Moro, Mattia Sturlese, Giovanni Bolcato, Matteo Pavan, Stephanie Federico, Giampiero Spalluto, Davide Bassani, Daniel I. Pérez, Stephen Redenti and Alberto Cuzzolin. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Cancer.

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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