Fabian Machens

23 total papers · 585 total citations
19 papers, 458 citations indexed

About

Fabian Machens is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Fabian Machens has authored 19 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Plant Science and 2 papers in Materials Chemistry. Recurrent topics in Fabian Machens's work include CRISPR and Genetic Engineering (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Fungal and yeast genetics research (5 papers). Fabian Machens is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Fungal and yeast genetics research (5 papers). Fabian Machens collaborates with scholars based in Germany, Bulgaria and Slovenia. Fabian Machens's co-authors include Katrin Messerschmidt, Reinhard Hehl, Arren Bar‐Even, Bernd Mueller‐Roeber, Marlies Becker, Salma Balazadeh, Lorenz Bülow, Dietmar J. Stahl, Jutta Schulze and A. S. M. Towhidul Alam and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Fabian Machens

19 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Fabian Machens 388 190 75 35 33 19 458
Haviva Eilenberg 283 0.7× 223 1.2× 22 0.3× 19 0.5× 150 4.5× 16 505
J.R. Mattoon 405 1.0× 98 0.5× 52 0.7× 61 1.7× 8 0.2× 22 454
Eric C. Holmes 183 0.5× 277 1.5× 39 0.5× 15 0.4× 21 0.6× 11 468
Kazuhiro Nagahama 274 0.7× 137 0.7× 56 0.7× 16 0.5× 159 4.8× 25 529
Jasmin Elgin Fischer 467 1.2× 55 0.3× 109 1.5× 65 1.9× 18 0.5× 12 504
Arun K. Chakravorty 195 0.5× 176 0.9× 48 0.6× 13 0.4× 12 0.4× 32 418
Lijing Chang 232 0.6× 307 1.6× 17 0.2× 11 0.3× 25 0.8× 20 430
E. Battat 469 1.2× 61 0.3× 246 3.3× 56 1.6× 29 0.9× 14 545
Janice Lisboa De Marco 314 0.8× 194 1.0× 130 1.7× 137 3.9× 6 0.2× 24 478
Drew M. DeLorenzo 342 0.9× 44 0.2× 166 2.2× 73 2.1× 92 2.8× 11 445

Countries citing papers authored by Fabian Machens

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Machens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Machens

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