Viktoria Schäfer

14 total papers · 617 total citations
11 papers, 398 citations indexed

About

Viktoria Schäfer is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Viktoria Schäfer has authored 11 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Viktoria Schäfer's work include NF-κB Signaling Pathways (4 papers), Cell death mechanisms and regulation (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Viktoria Schäfer is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Cell death mechanisms and regulation (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Viktoria Schäfer collaborates with scholars based in Germany, Belgium and United States. Viktoria Schäfer's co-authors include Harald Wajant, Isabell Lang, Daniela Siegmund, Julius Renne, Miriam Wittmann, Thomas Werfel, Andrea Fick, Carina A. Bäuerlein, Sabrina Kraus and Mohamed El‐Mesery and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Viktoria Schäfer

11 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Viktoria Schäfer 243 178 85 70 46 11 398
C Carlu 144 0.6× 145 0.8× 125 1.5× 51 0.7× 10 0.2× 14 385
Margarete Schön 138 0.6× 157 0.9× 146 1.7× 36 0.5× 46 1.0× 8 397
Cora Bucana 90 0.4× 193 1.1× 92 1.1× 58 0.8× 59 1.3× 8 337
Jutta Schröder 240 1.0× 64 0.4× 132 1.6× 21 0.3× 38 0.8× 10 341
Rebekka Schairer 129 0.5× 203 1.1× 206 2.4× 94 1.3× 41 0.9× 13 429
Belinda Baltus 186 0.8× 94 0.5× 114 1.3× 31 0.4× 9 0.2× 11 409
S. Yasue 122 0.5× 119 0.7× 78 0.9× 25 0.4× 38 0.8× 14 381
Judith Symmons 105 0.4× 244 1.4× 174 2.0× 126 1.8× 20 0.4× 9 414
Thomas J. Lawley 130 0.5× 220 1.2× 53 0.6× 67 1.0× 19 0.4× 9 444
Mei Qi Kwa 118 0.5× 170 1.0× 120 1.4× 95 1.4× 12 0.3× 11 357

Countries citing papers authored by Viktoria Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Viktoria Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktoria Schäfer

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