Karsten Borgwardt

23.9k total citations · 9 hit papers
132 papers, 9.8k citations indexed

About

Karsten Borgwardt is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Karsten Borgwardt has authored 132 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 50 papers in Artificial Intelligence and 28 papers in Genetics. Recurrent topics in Karsten Borgwardt's work include Gene expression and cancer classification (28 papers), Bioinformatics and Genomic Networks (24 papers) and Advanced Graph Neural Networks (18 papers). Karsten Borgwardt is often cited by papers focused on Gene expression and cancer classification (28 papers), Bioinformatics and Genomic Networks (24 papers) and Advanced Graph Neural Networks (18 papers). Karsten Borgwardt collaborates with scholars based in Germany, Switzerland and United States. Karsten Borgwardt's co-authors include Arthur Gretton, Bernhard Schölkopf, Malte J. Rasch, H.-P. Kriegel, Alex Smola, Oliver Stegle, Alexander J. Smola, S. V. N. Vishwanathan, Hans‐Peter Kriegel and Detlef Weigel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Karsten Borgwardt

126 papers receiving 9.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrating structured biological data by Kernel Maximum Mean Discrepancy

2006 1.1k citations Karsten Borgwardt, Arthur Gretton et al. Bioinformatics profile →
A kernel two-sample test

2012 1.0k citations Arthur Gretton, Karsten Borgwardt et al. Journal of Machine Learning Research profile →
Whole-genome sequencing of multiple Arabidopsis thaliana populations

2011 689 citations Oliver Stegle, Christoph Lippert et al. profile →
Protein function prediction via graph kernels

2005 620 citations Karsten Borgwardt, S. V. N. Vishwanathan et al. profile →
Spontaneous epigenetic variation in the Arabidopsis thaliana methylome

2011 526 citations Oliver Stegle, Karsten Borgwardt et al. profile →
Shortest-Path Kernels on Graphs

2006 480 citations Karsten Borgwardt et al. profile →
Efficient Graphlet Kernels for Large Graph Comparison

2009 370 citations S. V. N. Vishwanathan, Tobias Petri et al. profile →
Early prediction of circulatory failure in the intensive care unit using machine learning

2020 233 citations Martin Faltys, Matthias Hüser et al. profile →
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

2022 140 citations Bastian Rieck, Karsten Borgwardt et al. profile →

Peers

Countries citing papers authored by Karsten Borgwardt

Since Specialization

Citations

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

Fields of papers citing papers by Karsten Borgwardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Borgwardt

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Endowing protein language models with structural knowledge 2025 ·Bioinformatics ·(unknown), Dexiong Chen, (unknown), (unknown), Karsten Borgwardt	0
2	Data-driven protease engineering by DNA-recording and epistasis-aware machine learning 2025 ·Nature Communications ·(unknown), (unknown), (unknown), Karsten Borgwardt, Sven Panke, Markus Jeschek	0
3	Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning 2025 ·Nature Communications ·Andreas L. Gimpel, (unknown), Dexiong Chen, (unknown), Max Horn, Laetitia Meng-Papaxanthos, Philipp L. Antkowiak, Wendelin J. Stark, Beat Christen, Karsten Borgwardt, Robert N. Grass	0
4	Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning 2024 ·Nature Communications ·Christian Bock, Joan Walter, Bastian Rieck, Ivo Strebel, (unknown), (unknown), Michael J. Zellweger, Karsten Borgwardt, Christian Müller	9
5	An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit 2024 ·Bioinformatics ·(unknown), (unknown), Matthias Hüser, (unknown), Thomas Gumbsch, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Karsten Borgwardt	3
6	`networkGWAS` : a network-based approach to discover genetic associations 2023 ·Bioinformatics ·Giulia Muzio, Leslie O’Bray, Laetitia Meng-Papaxanthos, (unknown), Krista Fischer, Karsten Borgwardt	5
7	reComBat: batch-effect removal in large-scale multi-source gene-expression data integration 2022 ·Bioinformatics Advances ·(unknown), Sarah C. Brüningk, (unknown), Fabienne Estermann, Marek Basler, Karsten Borgwardt	14
8	Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping 2020 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), Christian Beisel, Karsten Borgwardt, Yaakov Benenson, Markus Jeschek	47
9	Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology 2019 ·arXiv (Cornell University) ·Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten Borgwardt	10
10	Aberrant working memory processing in major depression: evidence from multivoxel pattern classification 2018 ·Neuropsychopharmacology ·Matti Gärtner, (unknown), Milan Scheidegger, (unknown), Yan Fan, (unknown), (unknown), (unknown), (unknown), (unknown), A Henning, Malek Bajbouj, Karsten Borgwardt, Thorsten Barnhofer, Simone Grimm	32
11	Finding significant combinations of features in the presence of categorical covariates 2016 ·Spiral (Imperial College London) ·(unknown), Felipe Llinares-López, Dean A. Bodenham, Karsten Borgwardt	14
12	Measuring statistical dependence via the mutual information dimension 2013 ·Max Planck Digital Library ·Mahito Sugiyama, Karsten Borgwardt	7
13	Rapid Distance-Based Outlier Detection via Sampling 2013 ·Max Planck Digital Library ·Mahito Sugiyama, Karsten Borgwardt	67
14	A kernel two-sample test breakdown → 2012 ·Journal of Machine Learning Research ·Arthur Gretton, Karsten Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	1025
15	EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units 2010 ·European Journal of Human Genetics ·Tony Kam-Thong, Darina Czamara, Koji Tsuda, Karsten Borgwardt, Cathryn M. Lewis, Angelika Erhardt, Bernhard Hemmer, Peter Rieckmann, (unknown), Frank Weber, Christiane Wolf, Andreas Ziegler, Benno Pütz, (unknown), Bernhard Schölkopf, Bertram Müller‐Myhsok	67
16	Fast subtree kernels on graphs 2009 ·Max Planck Institute for Plasma Physics ·Nino Shervashidze, Karsten Borgwardt	117
17	A kernel method for unsupervised structured network inference 2009 ·MDC Repository (Max-Delbrueck-Center for Molecular Medicine) ·Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten Borgwardt	9
18	Colored Maximum Variance Unfolding 2007 ·Max Planck Institute for Plasma Physics ·Le Song, Arthur Gretton, Karsten Borgwardt, Alex Smola	56
19	An Efficient Sampling Scheme For Comparison of Large Graphs. 2007 ·Karsten Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans‐Peter Kriegel	2
20	A kernel method to comparing distributions 2007 ·ANU Open Research (Australian National University) ·Arthur Gretton, Karsten Borgwardt, Malte J. Rasch, Bernhard Schoelkopf, Alexander J. Smola	1

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.

Explore authors with similar magnitude of impact