Matteo P. Ferla

60 total papers · 2.4k total citations
19 papers, 765 citations indexed

About

Matteo P. Ferla is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Matteo P. Ferla has authored 19 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Matteo P. Ferla's work include Genomics and Phylogenetic Studies (4 papers), Biochemical and Structural Characterization (3 papers) and Protein Structure and Dynamics (3 papers). Matteo P. Ferla is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Biochemical and Structural Characterization (3 papers) and Protein Structure and Dynamics (3 papers). Matteo P. Ferla collaborates with scholars based in United Kingdom, New Zealand and Germany. Matteo P. Ferla's co-authors include Wayne M. Patrick, Anthony H. Keeble, Mark Howarth, Anusuya Banerjee, Samuel C. Reddington, J. Cameron Thrash, Stephen J. Giovannoni, Carlos G. Acevedo‐Rocha, Ronald A. Jenner and Matthew A. Wills and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Bioinformatics.

In The Last Decade

Matteo P. Ferla

18 papers receiving 753 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matteo P. Ferla 526 124 89 65 65 19 765
Ramesh K. Jha 582 1.1× 96 0.8× 42 0.5× 71 1.1× 106 1.6× 41 757
Edern Cahoreau 443 0.8× 51 0.4× 46 0.5× 47 0.7× 55 0.8× 29 663
Francis C. Davis 493 0.9× 39 0.3× 24 0.3× 51 0.8× 123 1.9× 24 762
Clément Aussignargues 664 1.3× 332 2.7× 27 0.3× 166 2.6× 131 2.0× 11 872
Thorben Dammeyer 539 1.0× 164 1.3× 28 0.3× 51 0.8× 77 1.2× 16 691
J. C. Lewis 254 0.5× 148 1.2× 21 0.2× 24 0.4× 84 1.3× 31 811
Mildred T. Hyatt 347 0.7× 105 0.8× 16 0.2× 58 0.9× 94 1.4× 26 630
P. A. Swenson 654 1.2× 56 0.5× 31 0.3× 37 0.6× 177 2.7× 43 887
Harm J. Hektor 419 0.8× 39 0.3× 19 0.2× 107 1.6× 31 0.5× 14 634
Bhumit A. Patel 366 0.7× 40 0.3× 55 0.6× 31 0.5× 21 0.3× 21 730

Countries citing papers authored by Matteo P. Ferla

Since Specialization
Citations

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

Fields of papers citing papers by Matteo P. Ferla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo P. Ferla. 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 Matteo P. Ferla. The network helps show where Matteo P. Ferla may publish in the future.

Co-authorship network of co-authors of Matteo P. Ferla

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

All Works

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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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