Karin Schwarzbauer

572 total citations
5 papers, 385 citations indexed

About

Karin Schwarzbauer is a scholar working on Infectious Diseases, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Karin Schwarzbauer has authored 5 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Molecular Biology and 1 paper in Critical Care and Intensive Care Medicine. Recurrent topics in Karin Schwarzbauer's work include vaccines and immunoinformatics approaches (1 paper), Genomics and Rare Diseases (1 paper) and Fuzzy Logic and Control Systems (1 paper). Karin Schwarzbauer is often cited by papers focused on vaccines and immunoinformatics approaches (1 paper), Genomics and Rare Diseases (1 paper) and Fuzzy Logic and Control Systems (1 paper). Karin Schwarzbauer collaborates with scholars based in Austria, Switzerland and Australia. Karin Schwarzbauer's co-authors include Sepp Hochreiter, Ulrich Bodenhofer, Andreas Mitterecker, Günter Klambauer, Andreas Mayr, Djork-Arné Clevert, Jens Meier, Carl Böck, Thomas Tschoellitsch and Martin W. Dünser and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Transfusion.

In The Last Decade

Karin Schwarzbauer

5 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Karin Schwarzbauer Austria	4	207	180	105	67	25	5	385
Fangqin Lin China	11	148 0.7×	291 1.6×	99 0.9×	62 0.9×	38 1.5×	17	512
Weili Wang China	13	43 0.2×	181 1.0×	50 0.5×	28 0.4×	21 0.8×	32	474
Lovisa Lovmar Sweden	9	237 1.1×	251 1.4×	72 0.7×	44 0.7×	15 0.6×	16	499
Shunxin Wang China	19	164 0.8×	615 3.4×	39 0.4×	305 4.6×	10 0.4×	42	1.0k
Jennifer Cann United States	13	69 0.3×	174 1.0×	18 0.2×	16 0.2×	21 0.8×	29	522
Liu Ka China	10	113 0.5×	180 1.0×	86 0.8×	11 0.2×	5 0.2×	28	521
Xiaoning Tang China	5	68 0.3×	177 1.0×	66 0.6×	18 0.3×	11 0.4×	8	329
Thomas Wolfgruber United States	13	88 0.4×	303 1.7×	65 0.6×	361 5.4×	26 1.0×	24	599
Baiba Vilne Latvia	15	92 0.4×	284 1.6×	76 0.7×	7 0.1×	6 0.2×	27	538
Celeste McBride United States	4	244 1.2×	327 1.8×	79 0.8×	80 1.2×	4 0.2×	4	704

Countries citing papers authored by Karin Schwarzbauer

Since Specialization

Citations

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

Fields of papers citing papers by Karin Schwarzbauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Schwarzbauer

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

All Works

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5 of 5 papers shown

1.

Mitterecker, Andreas, Axel Hofmann, Kevin M. Trentino, et al.. (2020). Machine learning–based prediction of transfusion. Transfusion. 60(9). 1977–1986. 32 indexed citations

2.

Tschoellitsch, Thomas, Martin W. Dünser, Carl Böck, Karin Schwarzbauer, & Jens Meier. (2020). Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood Tests. Laboratory Medicine. 52(2). 146–149. 27 indexed citations

3.

Schwarzbauer, Karin, Ulrich Bodenhofer, & Sepp Hochreiter. (2012). Genome-Wide Chromatin Remodeling Identified at GC-Rich Long Nucleosome-Free Regions. PLoS ONE. 7(11). e47924–e47924. 11 indexed citations

4.

Klambauer, Günter, Karin Schwarzbauer, Andreas Mayr, et al.. (2012). cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Nucleic Acids Research. 40(9). e69–e69. 312 indexed citations

5.

Bodenhofer, Ulrich, Karin Schwarzbauer, Mihaela Ionescu, & Sepp Hochreiter. (2009). Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations. European Society for Fuzzy Logic and Technology Conference. 1376–1381. 3 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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