Sebastian Köhler

13.7k total citations · 3 hit papers
52 papers, 3.9k citations indexed

About

Sebastian Köhler is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Sebastian Köhler has authored 52 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Genetics and 11 papers in Artificial Intelligence. Recurrent topics in Sebastian Köhler's work include Biomedical Text Mining and Ontologies (25 papers), Genomics and Rare Diseases (24 papers) and Bioinformatics and Genomic Networks (19 papers). Sebastian Köhler is often cited by papers focused on Biomedical Text Mining and Ontologies (25 papers), Genomics and Rare Diseases (24 papers) and Bioinformatics and Genomic Networks (19 papers). Sebastian Köhler collaborates with scholars based in Germany, United Kingdom and United States. Sebastian Köhler's co-authors include Peter N. Robinson, Sebastian Bauer, Denise Horn, Stefan Mundlos, Dominik Seelow, Chris Mungall, Damian Smedley, Melissa Haendel, Nicole Washington and Marcel H. Schulz and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Sebastian Köhler

49 papers receiving 3.8k citations

Hit Papers

Walking the Interactome for Prioritization of Candidate D... 2008 2026 2014 2020 2008 2008 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Köhler Germany 21 2.8k 1.7k 458 391 295 52 3.9k
Dexter Hadley United States 21 1.2k 0.4× 1.2k 0.7× 292 0.6× 291 0.7× 204 0.7× 56 2.8k
John V. Pearson Australia 24 1.8k 0.6× 745 0.5× 566 1.2× 659 1.7× 125 0.4× 59 3.7k
Tony Burdett United Kingdom 13 2.5k 0.9× 1.8k 1.1× 125 0.3× 477 1.2× 144 0.5× 32 4.2k
Denise Horn Germany 37 3.9k 1.4× 3.0k 1.8× 225 0.5× 351 0.9× 256 0.9× 134 6.1k
Michael Rebhan Germany 12 2.9k 1.0× 756 0.5× 110 0.2× 351 0.9× 108 0.4× 21 3.8k
Natali Gulbahce United States 15 2.8k 1.0× 497 0.3× 185 0.4× 359 0.9× 778 2.6× 26 4.2k
Dominik Seelow Germany 19 1.8k 0.6× 1.2k 0.7× 149 0.3× 217 0.6× 49 0.2× 50 2.6k
Annie Chiang United States 12 1.9k 0.7× 728 0.4× 159 0.3× 129 0.3× 829 2.8× 21 2.6k
Jörg Menche Austria 24 2.3k 0.8× 343 0.2× 162 0.4× 146 0.4× 759 2.6× 53 3.2k
Danielle Welter Luxembourg 6 1.8k 0.7× 1.6k 1.0× 58 0.1× 368 0.9× 102 0.3× 12 3.2k

Countries citing papers authored by Sebastian Köhler

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Köhler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Köhler

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

All Works

20 of 20 papers shown
1.
Köhler, Sebastian. (2025). Good classification matters: conceptual engineering in data science. Synthese. 205(1).
2.
Huque, Md Hamidul, Scherazad Kootar, Kim M. Kiely, et al.. (2024). A single risk assessment for the most common diseases of ageing, developed and validated on 10 cohort studies. BMC Medicine. 22(1). 501–501. 3 indexed citations
3.
Schmid, Andreas, Gerhard Liebisch, Ralph Burkhardt, et al.. (2024). Dynamics of the human bile acid metabolome during weight loss. Scientific Reports. 14(1). 25743–25743. 1 indexed citations
4.
Lo, Jessica, E. Allart, Sebastian Köhler, et al.. (2024). Prevalence of poststroke anxiety and its associations with global cognitive impairment: An individual participant data analysis. Journal of Affective Disorders. 369. 1136–1144. 5 indexed citations
5.
Köhler, Sebastian, et al.. (2024). Validation of the Updated “LIfestyle for BRAin health” (LIBRA) Index in the English Longitudinal Study of Ageing and Maastricht Aging Study. Journal of Alzheimer s Disease. 101(4). 1237–1248. 5 indexed citations
6.
Köhler, Sebastian, et al.. (2020). A Collection of Benchmark Data Sets for Knowledge Graph-based Similarity in the Biomedical Domain. Database. 2020. 7 indexed citations
7.
Schwarz, Jana Marie, et al.. (2019). RegulationSpotter: annotation and interpretation of extratranscriptic DNA variants. Nucleic Acids Research. 47(W1). W106–W113. 17 indexed citations
8.
Schwarz, Jana Marie, et al.. (2018). Phenotero: Annotate as you write. Clinical Genetics. 95(2). 287–292. 2 indexed citations
9.
Olry, Annie, Marc Hanauer, Valérie Serrière-Lanneau, et al.. (2018). Harmonising phenomics information for a better interoperability in the rare disease field. European Journal of Medical Genetics. 61(11). 706–714. 16 indexed citations
10.
Smedley, Damian, Julius O.B. Jacobsen, Marten Jäger, et al.. (2015). Next-generation diagnostics and disease-gene discovery with the Exomiser. Nature Protocols. 10(12). 2004–2015. 228 indexed citations
11.
Haendel, Melissa, Nicole Vasilevsky, Matthew Brush, et al.. (2015). Disease insights through cross-species phenotype comparisons. Mammalian Genome. 26(9-10). 548–555. 16 indexed citations
12.
Groza, Tudor, Sebastian Köhler, Nicole Vasilevsky, et al.. (2015). The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease. The American Journal of Human Genetics. 97(1). 111–124. 150 indexed citations
13.
Khattari, Z. Y., et al.. (2014). Stalk formation as a function of lipid composition studied by X-ray reflectivity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(1). 41–50. 16 indexed citations
14.
Smedley, Damian, Anika Oellrich, Sebastian Köhler, et al.. (2013). PhenoDigm: analyzing curated annotations to associate animal models with human diseases. Database. 2013(0). bat025–bat025. 86 indexed citations
15.
Köhler, Sebastian, Sandra C. Doelken, Ana Rath, Ségolène Aymé, & Peter N. Robinson. (2012). Ontological phenotype standards for neurogenetics. Human Mutation. 33(9). 1333–1339. 16 indexed citations
16.
Köhler, Sebastian, Sebastian Bauer, Chris Mungall, et al.. (2011). Improving ontologies by automatic reasoning and evaluation of logical definitions. BMC Bioinformatics. 12(1). 418–418. 21 indexed citations
17.
Rödelsperger, Christian, Gao Guo, Mateusz Kolanczyk, et al.. (2010). Integrative analysis of genomic, functional and protein interaction data predicts long-range enhancer-target gene interactions. Nucleic Acids Research. 39(7). 2492–2502. 18 indexed citations
18.
Köhler, Sebastian, Marcel H. Schulz, Peter Krawitz, et al.. (2009). Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies. The American Journal of Human Genetics. 85(4). 457–464. 349 indexed citations
19.
Rule, K. C., A. U. B. Wolter, S. Süllow, et al.. (2008). Nature of the Spin Dynamics and1/3Magnetization Plateau in Azurite. Physical Review Letters. 100(11). 117202–117202. 98 indexed citations
20.
Köhler, Sebastian, Sebastian Bauer, Denise Horn, & Peter N. Robinson. (2008). Walking the Interactome for Prioritization of Candidate Disease Genes. The American Journal of Human Genetics. 82(4). 949–958. 907 indexed citations breakdown →

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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