Annika Wyss

40 total papers · 796 total citations
15 papers, 615 citations indexed

About

Annika Wyss is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Annika Wyss has authored 15 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Annika Wyss's work include Helicobacter pylori-related gastroenterology studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Annika Wyss is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Annika Wyss collaborates with scholars based in Switzerland, Sweden and Germany. Annika Wyss's co-authors include Willi Hunziker, Gabriele Wirtz, Roland Brugger, H. Bachmann, Markus Wyss, Arno Friedlein, Stefanie Carroll, Gerta Vrbovà, Pierluigi Nicotera and Horst Bluethmann and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and Journal of Lipid Research.

In The Last Decade

Annika Wyss

14 papers receiving 608 citations

Author Peers

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

Author Last Decade Papers Cites
Annika Wyss 355 130 109 97 80 15 615
Atsushi Oyagi 327 0.9× 46 0.4× 149 1.4× 37 0.4× 80 1.0× 18 636
Toan D. Nguyen 255 0.7× 78 0.6× 98 0.9× 20 0.2× 113 1.4× 23 594
Makoto Shimozawa 223 0.6× 64 0.5× 38 0.3× 22 0.2× 108 1.4× 27 519
Katia Marazova 422 1.2× 58 0.4× 190 1.7× 20 0.2× 36 0.5× 22 688
Ana Paula Terrasso 227 0.6× 71 0.5× 88 0.8× 23 0.2× 26 0.3× 14 564
Tomoko Nakata 285 0.8× 29 0.2× 127 1.2× 30 0.3× 28 0.3× 25 595
Beáta Lizák 343 1.0× 50 0.4× 34 0.3× 23 0.2× 67 0.8× 16 694
Yoon Hee Cho 313 0.9× 22 0.2× 149 1.4× 25 0.3× 45 0.6× 25 604
Zhaokan Yuan 450 1.3× 36 0.3× 55 0.5× 12 0.1× 63 0.8× 11 646
Scott M. Emrich 332 0.9× 133 1.0× 206 1.9× 10 0.1× 39 0.5× 23 662

Countries citing papers authored by Annika Wyss

Since Specialization
Citations

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

Fields of papers citing papers by Annika Wyss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Wyss

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