Mario Amendola

181 total papers · 8.7k total citations
63 papers, 5.9k citations indexed

About

Mario Amendola is a scholar working on Molecular Biology, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Mario Amendola has authored 63 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Economics and Econometrics and 11 papers in General Economics, Econometrics and Finance. Recurrent topics in Mario Amendola's work include Economic theories and models (13 papers), CRISPR and Genetic Engineering (11 papers) and Economic Theory and Policy (11 papers). Mario Amendola is often cited by papers focused on Economic theories and models (13 papers), CRISPR and Genetic Engineering (11 papers) and Economic Theory and Policy (11 papers). Mario Amendola collaborates with scholars based in Italy, France and United States. Mario Amendola's co-authors include Bas van Steensel, Eva K. Brinkman, Tao Chen, Luigi Naldini, Bernhard Gentner, Jean‐Luc Gaffard, Brian D. Brown, Sandra S. de Vries, Jop Kind and Ludo Pagie and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mario Amendola

59 papers receiving 5.8k citations

Hit Papers

Easy quantitative assessm... 2009 2026 2014 2020 2014 2017 2013 2009 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Mario Amendola 4.5k 1.1k 713 590 532 63 5.9k
Tomek Swigut 7.3k 1.6× 1.2k 1.1× 716 1.0× 1.0k 1.7× 475 0.9× 51 9.0k
Miguel Vidal 8.6k 1.9× 2.0k 1.8× 715 1.0× 490 0.8× 644 1.2× 93 9.9k
Konstantinos Anastassiadis 7.1k 1.6× 1.7k 1.6× 509 0.7× 462 0.8× 605 1.1× 92 8.5k
Susan Tweedie 4.8k 1.1× 939 0.9× 505 0.7× 244 0.4× 413 0.8× 45 5.8k
Yusuke Kamachi 4.2k 0.9× 1.7k 1.5× 635 0.9× 330 0.6× 294 0.6× 58 5.1k
Peter C. Scacheri 4.8k 1.1× 1.0k 0.9× 930 1.3× 420 0.7× 768 1.4× 80 6.4k
Terumi Kohwi-shigematsu 5.7k 1.3× 1.4k 1.2× 526 0.7× 1.3k 2.2× 770 1.4× 78 7.1k
Paul S. Knoepfler 4.5k 1.0× 726 0.7× 517 0.7× 355 0.6× 677 1.3× 88 5.7k
Dirk Hockemeyer 8.2k 1.8× 1.3k 1.2× 420 0.6× 270 0.5× 549 1.0× 63 9.7k
Grady F. Saunders 5.5k 1.2× 2.0k 1.8× 730 1.0× 245 0.4× 380 0.7× 114 6.8k

Countries citing papers authored by Mario Amendola

Since Specialization
Citations

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

Fields of papers citing papers by Mario Amendola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Amendola

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