Marco Necci

7.6k total citations
13 papers, 710 citations indexed

About

Marco Necci is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Marco Necci has authored 13 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Marco Necci's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (4 papers). Marco Necci is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (4 papers). Marco Necci collaborates with scholars based in Italy, Hungary and Belgium. Marco Necci's co-authors include Silvio C. E. Tosatto, Damiano Piovesan, Zsuzsanna Dosztányi, Lisanna Paladin, Alexander Miguel Monzón, Péter Tompa, Norman E. Davey, Ivan Mičetić, Wim Vranken and Gustavo Parisi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Marco Necci

13 papers receiving 709 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Necci Italy 10 643 163 63 52 40 13 710
Akila Katuwawala United States 11 523 0.8× 157 1.0× 30 0.5× 20 0.4× 28 0.7× 14 568
Sushama Michael Germany 5 623 1.0× 60 0.4× 49 0.8× 52 1.0× 65 1.6× 6 758
Girish S. Ratnaparkhi India 15 415 0.6× 133 0.8× 37 0.6× 38 0.7× 31 0.8× 40 546
Lisa M. Tuttle United States 10 458 0.7× 89 0.5× 19 0.3× 56 1.1× 23 0.6× 13 510
Claudia Bertonati Italy 11 331 0.5× 67 0.4× 27 0.4× 63 1.2× 61 1.5× 23 446
Sebastiaan Werten Germany 16 725 1.1× 50 0.3× 21 0.3× 113 2.2× 53 1.3× 33 840
Aude Martinez France 6 586 0.9× 45 0.3× 79 1.3× 54 1.0× 108 2.7× 7 712
Frédéric Allemand France 21 765 1.2× 91 0.6× 24 0.4× 177 3.4× 80 2.0× 44 923
Ranabir Das India 14 662 1.0× 59 0.4× 23 0.4× 125 2.4× 29 0.7× 40 763
Vishnu Priyanka Reddy Chichili Singapore 8 384 0.6× 46 0.3× 20 0.3× 29 0.6× 23 0.6× 10 475

Countries citing papers authored by Marco Necci

Since Specialization
Citations

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

Fields of papers citing papers by Marco Necci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Necci

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

All Works

13 of 13 papers shown
1.
Monzón, Alexander Miguel, Paolo Bonato, Marco Necci, Silvio C. E. Tosatto, & Damiano Piovesan. (2021). FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data Bank. Journal of Molecular Biology. 433(9). 166900–166900. 10 indexed citations
2.
Paladin, Lisanna, Marco Necci, Damiano Piovesan, et al.. (2020). A novel approach to investigate the evolution of structured tandem repeat protein families by exon duplication. Journal of Structural Biology. 212(2). 107608–107608. 10 indexed citations
3.
Monzón, Alexander Miguel, András Hatos, Marco Necci, Damiano Piovesan, & Silvio C. E. Tosatto. (2020). Exploring Protein Intrinsic Disorder with MobiDB. Methods in molecular biology. 2141. 127–143. 4 indexed citations
4.
Jarnot, Patryk, László Dobson, Matthew Merski, et al.. (2020). PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins. Nucleic Acids Research. 48(W1). W77–W84. 74 indexed citations
5.
Piovesan, Damiano, Marco Necci, Nahuel Escobedo, et al.. (2020). MobiDB: intrinsically disordered proteins in 2021. Nucleic Acids Research. 49(D1). D361–D367. 149 indexed citations
6.
Necci, Marco, Damiano Piovesan, Damiano Clementel, Zsuzsanna Dosztányi, & Silvio C. E. Tosatto. (2020). MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins. Bioinformatics. 36(22-23). 5533–5534. 58 indexed citations
7.
Monzón, Alexander Miguel, Marco Necci, Federica Quaglia, et al.. (2020). Experimentally Determined Long Intrinsically Disordered Protein Regions Are Now Abundant in the Protein Data Bank. International Journal of Molecular Sciences. 21(12). 4496–4496. 22 indexed citations
8.
Necci, Marco, Damiano Piovesan, & Silvio C. E. Tosatto. (2018). Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteins. Database. 2018. 7 indexed citations
9.
Necci, Marco, Damiano Piovesan, Diego Micheletti, et al.. (2018). PhytoTypeDB: a database of plant protein inter-cultivar variability and function. Database. 2018. 5 indexed citations
10.
Piovesan, Damiano, Francesco Tabaro, Lisanna Paladin, et al.. (2017). MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins. Nucleic Acids Research. 46(D1). D471–D476. 142 indexed citations
11.
Necci, Marco, Damiano Piovesan, Zsuzsanna Dosztányi, Péter Tompa, & Silvio C. E. Tosatto. (2017). A comprehensive assessment of long intrinsic protein disorder from the DisProt database. Bioinformatics. 34(3). 445–452. 49 indexed citations
12.
Necci, Marco, Damiano Piovesan, Zsuzsanna Dosztányi, & Silvio C. E. Tosatto. (2017). MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins. Bioinformatics. 33(9). 1402–1404. 142 indexed citations
13.
Necci, Marco, Damiano Piovesan, & Silvio C. E. Tosatto. (2016). Large‐scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universe. Protein Science. 25(12). 2164–2174. 38 indexed citations

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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