Alberto Noronha

25 total papers · 4.0k total citations
7 papers, 652 citations indexed

About

Alberto Noronha is a scholar working on Molecular Biology, Clinical Biochemistry and Computational Theory and Mathematics. According to data from OpenAlex, Alberto Noronha has authored 7 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Clinical Biochemistry and 1 paper in Computational Theory and Mathematics. Recurrent topics in Alberto Noronha's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). Alberto Noronha is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). Alberto Noronha collaborates with scholars based in Luxembourg, Germany and Portugal. Alberto Noronha's co-authors include Ines Thiele, Ronan M. T. Fleming, Eugen Bauer, Kacy Greenhalgh, Joanna Bagińska, Christian Jäger, Stefanía Magnúsdóttir, Dmitry A. Ravcheev, Paul Wilmes and Almut Heinken and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Annals of Neurology.

In The Last Decade

Alberto Noronha

7 papers receiving 643 citations

Hit Papers

Generation of genome-scal... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Alberto Noronha 580 99 91 74 52 7 652
Robert Jepras 300 0.5× 131 1.3× 57 0.6× 47 0.6× 24 0.5× 12 635
Swagatika Sahoo 460 0.8× 108 1.1× 54 0.6× 31 0.4× 38 0.7× 13 567
Frederick Verbeke 513 0.9× 54 0.5× 69 0.8× 69 0.9× 17 0.3× 26 743
Kangni Yang 354 0.6× 52 0.5× 37 0.4× 75 1.0× 18 0.3× 12 720
Xi Xing 444 0.8× 106 1.1× 51 0.6× 30 0.4× 13 0.3× 12 598
Ines Greco 352 0.6× 61 0.6× 19 0.2× 88 1.2× 93 1.8× 14 616
Leepika Tuli 543 0.9× 37 0.4× 101 1.1× 38 0.5× 18 0.3× 9 728
Lucía Herrera-Domínguez 430 0.7× 34 0.3× 37 0.4× 57 0.8× 13 0.3× 10 586
Ziwen Tong 356 0.6× 50 0.5× 33 0.4× 73 1.0× 14 0.3× 13 739
Jim K. Heald 519 0.9× 25 0.3× 69 0.8× 54 0.7× 27 0.5× 10 735

Countries citing papers authored by Alberto Noronha

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Noronha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Noronha

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Noronha. A scholar is included among the top collaborators of Alberto Noronha 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 Alberto Noronha. Alberto Noronha 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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