Sören Wacker

449 total citations
13 papers, 349 citations indexed

About

Sören Wacker is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Sören Wacker has authored 13 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in Computational Theory and Mathematics. Recurrent topics in Sören Wacker's work include Cardiac electrophysiology and arrhythmias (7 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (4 papers). Sören Wacker is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (4 papers). Sören Wacker collaborates with scholars based in Canada, Germany and Sweden. Sören Wacker's co-authors include Bert L. de Groot, Sergei Y. Noskov, Camilo Aponte‐Santamaría, Michael Rützler, Per Kjellbom, Gert Vriend, Sabina Jeleń, Yasmin Karimi‐Nejad, Urban Johanson and Søren Nielsen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Analytical Chemistry.

In The Last Decade

Sören Wacker

13 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sören Wacker Canada	10	270	79	47	45	39	13	349
Thomas M. Moon United States	9	435 1.6×	29 0.4×	27 0.6×	57 1.3×	45 1.2×	13	601
Xinmei Li China	12	290 1.1×	77 1.0×	10 0.2×	53 1.2×	84 2.2×	36	467
Takanobu Takezako Japan	9	248 0.9×	111 1.4×	32 0.7×	19 0.4×	107 2.7×	10	375
Luis A. Ralat United States	10	401 1.5×	45 0.6×	18 0.4×	112 2.5×	14 0.4×	12	547
Yunguang Qiu China	12	233 0.9×	61 0.8×	23 0.5×	26 0.6×	33 0.8×	15	401
Dungeng Peng United States	10	201 0.7×	89 1.1×	8 0.2×	14 0.3×	51 1.3×	19	333
Hui C. Ko United States	5	106 0.4×	27 0.3×	27 0.6×	30 0.7×	29 0.7×	6	317
Therese Ku United States	13	129 0.5×	17 0.2×	35 0.7×	38 0.8×	81 2.1×	18	412
Michael Sanders United States	15	184 0.7×	160 2.0×	30 0.6×	33 0.7×	18 0.5×	32	465
Roland Derwand Germany	7	232 0.9×	59 0.7×	17 0.4×	112 2.5×	12 0.3×	7	495

Countries citing papers authored by Sören Wacker

Since Specialization

Citations

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

Fields of papers citing papers by Sören Wacker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Wacker

This figure shows the co-authorship network connecting the top 25 collaborators of Sören Wacker. A scholar is included among the top collaborators of Sören Wacker 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 Sören Wacker. Sören Wacker 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:

13 of 13 papers shown

Wacker, Sören, et al.. (2024). SCALiR: A Web Application for Automating Absolute Quantification of Mass Spectrometry-Based Metabolomics Data. Analytical Chemistry. 96(17). 6566–6574. 2 indexed citations

Brown, Kirsty, Carolyn A. Thomson, Sören Wacker, et al.. (2023). Microbiota alters the metabolome in an age- and sex- dependent manner in mice. Nature Communications. 14(1). 27 indexed citations

Drikic, Marija, et al.. (2022). Moving beyond descriptive studies: harnessing metabolomics to elucidate the molecular mechanisms underpinning host-microbiome phenotypes. Mucosal Immunology. 15(6). 1071–1084. 14 indexed citations

Guo, Jiqing, Therese Ku, Jianjing Cao, et al.. (2021). Toward Reducing hERG Affinities for DAT Inhibitors with a Combined Machine Learning and Molecular Modeling Approach. Journal of Chemical Information and Modeling. 61(9). 4266–4279. 15 indexed citations

Aminpour, Maral, et al.. (2021). Computational determination of toxicity risks associated with a selection of approved drugs having demonstrated activity against COVID-19. BMC Pharmacology and Toxicology. 22(1). 61–61. 7 indexed citations

Wacker, Sören, Jiqing Guo, Ara M. Abramyan, et al.. (2019). Toward Reducing HERG Affinities for Dat Inhibitors with a Combined Machine Learning and Molecular Modeling Approach. Biophysical Journal. 116(3). 562a–562a. 4 indexed citations

Wacker, Sören, Sergei Y. Noskov, & Laura L. Perissinotti. (2017). Computational Models for Understanding of Structure, Function and Pharmacology of the Cardiac Potassium Channel Kv11.1 (hERG). Current Topics in Medicinal Chemistry. 17(23). 2681–2702. 11 indexed citations

Wacker, Sören & Sergei Y. Noskov. (2017). Performance of machine learning algorithms for qualitative and quantitative prediction drug blockade of hERG1 channel. Computational Toxicology. 6. 55–63. 31 indexed citations

Wacker, Sören, Camilo Aponte‐Santamaría, Per Kjellbom, et al.. (2013). The identification of novel, high affinity AQP9 inhibitors in an intracellular binding site. Molecular Membrane Biology. 30(3). 246–260. 29 indexed citations

10.

Wacker, Sören, Wiktor Jurkowski, Katie J. Simmons, et al.. (2012). Identification of Selective Inhibitors of the Potassium Channel Kv1.1–1.2₍₃₎ by High‐Throughput Virtual Screening and Automated Patch Clamp. ChemMedChem. 7(10). 1775–1783. 17 indexed citations

11.

Jeleń, Sabina, Sören Wacker, Camilo Aponte‐Santamaría, et al.. (2011). Aquaporin-9 Protein Is the Primary Route of Hepatocyte Glycerol Uptake for Glycerol Gluconeogenesis in Mice. Journal of Biological Chemistry. 286(52). 44319–44325. 99 indexed citations

12.

Wacker, Sören, Ulrich Zachariae, Yasmin Karimi‐Nejad, et al.. (2010). Toward a Consensus Model of the hERG Potassium Channel. ChemMedChem. 5(3). 455–467. 52 indexed citations

13.

Zachariae, Ulrich, Robert C. Schneider, Phanindra Velisetty, et al.. (2008). The Molecular Mechanism of Toxin-Induced Conformational Changes in a Potassium Channel: Relation to C-Type Inactivation. Structure. 16(5). 747–754. 41 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.

Explore authors with similar magnitude of impact