Bianca Schrul

26 total papers · 724 total citations
19 papers, 542 citations indexed

About

Bianca Schrul is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Bianca Schrul has authored 19 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Biochemistry. Recurrent topics in Bianca Schrul's work include Lipid metabolism and biosynthesis (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Fungal and yeast genetics research (4 papers). Bianca Schrul is often cited by papers focused on Lipid metabolism and biosynthesis (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Fungal and yeast genetics research (4 papers). Bianca Schrul collaborates with scholars based in Germany, United States and Israel. Bianca Schrul's co-authors include Ron R. Kopito, Blanche Schwappach, Stefanie Caesar, Abdou Rachid Thiam, Holger Lorenz, Matthias Seedorf, Irmgard Sinning, Bernhard Dobberstein, Katja Kapp and Michal Breker and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Bianca Schrul

16 papers receiving 541 citations

Author Peers

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

Author Last Decade Papers Cites
Bianca Schrul 427 207 140 59 37 19 542
Xing‐Huang Gao 426 1.0× 98 0.5× 106 0.8× 44 0.7× 38 1.0× 14 547
Rieko Imae 377 0.9× 84 0.4× 131 0.9× 66 1.1× 68 1.8× 20 495
Gaël Palais 354 0.8× 97 0.5× 51 0.4× 30 0.5× 26 0.7× 12 459
David Montefusco 458 1.1× 156 0.8× 67 0.5× 56 0.9× 90 2.4× 20 595
Albert Claude 307 0.7× 124 0.6× 58 0.4× 63 1.1× 42 1.1× 21 525
Maike Thamsen 322 0.8× 104 0.5× 59 0.4× 51 0.9× 48 1.3× 14 515
Selma Y. Dejgaard 274 0.6× 269 1.3× 54 0.4× 59 1.0× 44 1.2× 13 449
Constance J. Clancey 449 1.1× 164 0.8× 198 1.4× 25 0.4× 35 0.9× 11 566
K Titani 360 0.8× 99 0.5× 46 0.3× 33 0.6× 30 0.8× 15 585
Christian Lüchtenborg 356 0.8× 103 0.5× 43 0.3× 53 0.9× 67 1.8× 26 526

Countries citing papers authored by Bianca Schrul

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Schrul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Schrul

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