Silvio Waschina

108 total papers · 2.8k total citations
36 papers, 1.3k citations indexed

About

Silvio Waschina is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Silvio Waschina has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Nutrition and Dietetics. Recurrent topics in Silvio Waschina's work include Gut microbiota and health (14 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Infant Nutrition and Health (5 papers). Silvio Waschina is often cited by papers focused on Gut microbiota and health (14 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Infant Nutrition and Health (5 papers). Silvio Waschina collaborates with scholars based in Germany, United States and Switzerland. Silvio Waschina's co-authors include Christoph Kaleta, Christian Kost, Glen G D’Souza, Johannes Zimmermann, Shraddha Shitut, Katrin Bohl, Samay Pande, Samir Giri, Jan Rupp and Γεώργιος Μαρίνος and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Silvio Waschina

33 papers receiving 1.3k citations

Hit Papers

Ecology and evolution of ... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Silvio Waschina 821 254 247 135 113 36 1.3k
Jonathan Friedman 619 0.8× 295 1.2× 162 0.7× 107 0.8× 117 1.0× 23 1.1k
Mark Alston 535 0.7× 292 1.1× 191 0.8× 142 1.1× 60 0.5× 30 1.7k
Ophelia S. Venturelli 1.2k 1.5× 396 1.6× 288 1.2× 177 1.3× 107 0.9× 38 1.8k
Jakob Russel 826 1.0× 462 1.8× 114 0.5× 91 0.7× 33 0.3× 32 1.3k
Shijie Zhao 720 0.9× 281 1.1× 128 0.5× 143 1.1× 29 0.3× 28 1.4k
Woon Kee Paek 518 0.6× 208 0.8× 154 0.6× 284 2.1× 26 0.2× 56 1.2k
María Mercedes Zambrano 970 1.2× 396 1.6× 562 2.3× 111 0.8× 51 0.5× 46 1.7k
Oleksandr M. Maistrenko 700 0.9× 266 1.0× 96 0.4× 141 1.0× 34 0.3× 20 1.1k
Eugen Bauer 896 1.1× 143 0.6× 172 0.7× 114 0.8× 28 0.2× 18 1.5k
Ekaterina Gavrish 756 0.9× 422 1.7× 133 0.5× 81 0.6× 25 0.2× 25 1.3k

Countries citing papers authored by Silvio Waschina

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Waschina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvio Waschina

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