Renate Kania

31 total papers · 1.6k total citations
16 papers, 946 citations indexed

About

Renate Kania is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Renate Kania has authored 16 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Renate Kania's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bioinformatics and Genomic Networks (9 papers) and Gene Regulatory Network Analysis (7 papers). Renate Kania is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Bioinformatics and Genomic Networks (9 papers) and Gene Regulatory Network Analysis (7 papers). Renate Kania collaborates with scholars based in Germany, United States and United Kingdom. Renate Kania's co-authors include Ulrike Wittig, Andreas Weidemann, Wolfgang G. Müller, Maja Rey, Petra Fey, Takashi Gojobori, Linda I. Hannick, Yoshihide Hayashizaki, Mary Schaeffer and Seung Y. Rhee and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Renate Kania

16 papers receiving 898 citations

Author Peers

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

Author Last Decade Papers Cites
Renate Kania 626 116 104 88 65 16 946
Linda I. Hannick 534 0.9× 96 0.8× 77 0.7× 84 1.0× 22 0.3× 15 1.1k
Marco Brandizi 797 1.3× 119 1.0× 122 1.2× 96 1.1× 72 1.1× 18 1.1k
Christine Chichester 593 0.9× 245 2.1× 93 0.9× 64 0.7× 184 2.8× 31 956
Dexter Pratt 653 1.0× 240 2.1× 29 0.3× 74 0.8× 146 2.2× 31 1.1k
Tobias Kötter 343 0.5× 173 1.5× 107 1.0× 135 1.5× 231 3.6× 15 1.1k
Nicolas Cebron 334 0.5× 197 1.7× 98 0.9× 115 1.3× 224 3.4× 14 972
Paolo Romano 397 0.6× 60 0.5× 107 1.0× 45 0.5× 25 0.4× 65 794
Kilian Thiel 335 0.5× 183 1.6× 101 1.0× 125 1.4× 229 3.5× 10 936
Thomas R. Gabriel 334 0.5× 181 1.6× 98 0.9× 125 1.4× 235 3.6× 9 926
Nicolás Rodríguez 918 1.5× 46 0.4× 103 1.0× 25 0.3× 81 1.2× 29 1.1k

Countries citing papers authored by Renate Kania

Since Specialization
Citations

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

Fields of papers citing papers by Renate Kania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renate Kania

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