Guenter Stoesser

711 total citations
3 papers, 221 citations indexed

About

Guenter Stoesser is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Guenter Stoesser has authored 3 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Guenter Stoesser's work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Guenter Stoesser is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Guenter Stoesser collaborates with scholars based in United Kingdom. Guenter Stoesser's co-authors include Graham Cameron, David Emmert, Peter Stoehr and Pascal Hingamp and has published in prestigious journals such as Nucleic Acids Research and Molecular Biotechnology.

In The Last Decade

Guenter Stoesser

3 papers receiving 215 citations

Peers

Guenter Stoesser
Ivana Piližota United Kingdom
Clive Brown United Kingdom
Bernd Roechert Switzerland
Jürgen Jänes United Kingdom
Ivana Piližota United Kingdom
Guenter Stoesser
Citations per year, relative to Guenter Stoesser Guenter Stoesser (= 1×) peers Ivana Piližota

Countries citing papers authored by Guenter Stoesser

Since Specialization
Citations

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

Fields of papers citing papers by Guenter Stoesser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guenter Stoesser

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

All Works

3 of 3 papers shown
1.
Stoesser, Guenter. (2003). The EMBL Nucleotide Sequence Database: major new developments. Nucleic Acids Research. 31(1). 17–22. 78 indexed citations
2.
Hingamp, Pascal, et al.. (1999). The EMBL Nucleotide Sequence Database: Contributing and Accessing Data. Molecular Biotechnology. 12(3). 255–268. 8 indexed citations
3.
Emmert, David, Peter Stoehr, Guenter Stoesser, & Graham Cameron. (1994). The European Bioinformatics Institute (EBI) databases. Nucleic Acids Research. 22(17). 3445–3449. 135 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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