Sacha J. Pidot

140 total papers · 4.3k total citations
82 papers, 2.3k citations indexed

About

Sacha J. Pidot is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Sacha J. Pidot has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 29 papers in Pharmacology and 22 papers in Epidemiology. Recurrent topics in Sacha J. Pidot's work include Microbial Natural Products and Biosynthesis (28 papers), Mycobacterium research and diagnosis (19 papers) and Genomics and Phylogenetic Studies (15 papers). Sacha J. Pidot is often cited by papers focused on Microbial Natural Products and Biosynthesis (28 papers), Mycobacterium research and diagnosis (19 papers) and Genomics and Phylogenetic Studies (15 papers). Sacha J. Pidot collaborates with scholars based in Australia, Germany and United States. Sacha J. Pidot's co-authors include Timothy P. Stinear, Christian Hertweck, Torsten Seemann, Florian Kloß, Jessica L. Porter, Sébastien Coyne, Benjamin P. Howden, Hui Hong, Paul D. R. Johnson and Nicholas J. Tobias and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sacha J. Pidot

79 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Sacha J. Pidot 1.1k 675 607 441 360 82 2.3k
Paul Liberator 816 0.7× 1.1k 1.6× 333 0.5× 819 1.9× 261 0.7× 74 3.3k
Praveen R. Juvvadi 1.7k 1.6× 628 0.9× 945 1.6× 1.2k 2.7× 119 0.3× 78 3.0k
George K. Abruzzo 701 0.6× 1.4k 2.0× 722 1.2× 2.0k 4.5× 278 0.8× 59 3.0k
Katsukiyo Yazawa 806 0.7× 678 1.0× 687 1.1× 385 0.9× 655 1.8× 118 2.4k
Markus Schrettl 1.5k 1.3× 558 0.8× 847 1.4× 1.2k 2.7× 127 0.4× 37 3.2k
Tamás Papp 1.1k 1.0× 329 0.5× 505 0.8× 484 1.1× 73 0.2× 147 3.0k
Cécile Clavaud 879 0.8× 691 1.0× 309 0.5× 754 1.7× 79 0.2× 41 2.5k
Ulrike Binder 594 0.5× 447 0.7× 277 0.5× 764 1.7× 67 0.2× 63 1.6k
Leif Smith 1.1k 1.1× 190 0.3× 309 0.5× 444 1.0× 74 0.2× 103 2.8k
Sônia Rozental 695 0.6× 1.6k 2.3× 184 0.3× 1.4k 3.1× 185 0.5× 106 3.2k

Countries citing papers authored by Sacha J. Pidot

Since Specialization
Citations

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

Fields of papers citing papers by Sacha J. Pidot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sacha J. Pidot. 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 Sacha J. Pidot. The network helps show where Sacha J. Pidot may publish in the future.

Co-authorship network of co-authors of Sacha J. Pidot

This figure shows the co-authorship network connecting the top 25 collaborators of Sacha J. Pidot. A scholar is included among the top collaborators of Sacha J. Pidot 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 Sacha J. Pidot. Sacha J. Pidot 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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