Michael Kiening

1.3k total citations
5 papers, 106 citations indexed

About

Michael Kiening is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Michael Kiening has authored 5 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Pharmacology. Recurrent topics in Michael Kiening's work include RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Viral Infections and Immunology Research (1 paper). Michael Kiening is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Viral Infections and Immunology Research (1 paper). Michael Kiening collaborates with scholars based in Germany, Russia and Austria. Michael Kiening's co-authors include Dmitrij Frishman, Thomas Rattei, Florian Auer, Cedric Landerer, Friedemann Weber, Peter Hönigschmid, Stefanie Kaufmann, Burkhard Rost, Tatjana Braun and Ivo L. Hofacker and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Viruses.

In The Last Decade

Michael Kiening

5 papers receiving 105 citations

Peers

Michael Kiening
Amrisha Bhosle United States
Rianne C. Prins Netherlands
Mason R. Firpo United States
Stefano Grasso Netherlands
Michael Kiening
Citations per year, relative to Michael Kiening Michael Kiening (= 1×) peers Srajan Kapoor

Countries citing papers authored by Michael Kiening

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kiening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kiening

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kiening. A scholar is included among the top collaborators of Michael Kiening 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 Michael Kiening. Michael Kiening is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Frishman, Dmitrij, et al.. (2024). VOGDB—Database of Virus Orthologous Groups. Viruses. 16(8). 1191–1191. 19 indexed citations
3.
Kiening, Michael, et al.. (2019). Conserved Secondary Structures in Viral mRNAs. Viruses. 11(5). 401–401. 18 indexed citations
4.
Kiening, Michael, Friedemann Weber, & Dmitrij Frishman. (2017). Conserved RNA structures in the intergenic regions of ambisense viruses. Scientific Reports. 7(1). 16625–16625. 10 indexed citations
5.
Hamp, Tobias, Stefan Seemayer, Esmeralda Vicedo, et al.. (2013). Homology-based inference sets the bar high for protein function prediction. BMC Bioinformatics. 14(S3). S7–S7. 51 indexed citations

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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