Sebastian Spänig

738 total citations
11 papers, 510 citations indexed

About

Sebastian Spänig is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Sebastian Spänig has authored 11 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Sebastian Spänig's work include Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Sebastian Spänig is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Sebastian Spänig collaborates with scholars based in Germany, Switzerland and United Kingdom. Sebastian Spänig's co-authors include Dominik Heider, Alexander Goesmann, Claire Bertelli, Corinna Ernst, Jochen Blom, Julian Kreis, Jan‐Peter Sowa, Klaus Menrad, Ali Canbay and Agnes Emberger‐Klein and has published in prestigious journals such as Nucleic Acids Research, Environment International and Journal of Biotechnology.

In The Last Decade

Sebastian Spänig

11 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Spänig Germany 8 320 88 82 60 39 11 510
Rodrigo Bentes Kato Brazil 11 286 0.9× 62 0.7× 47 0.6× 29 0.5× 90 2.3× 35 484
Zhenpeng Li China 13 125 0.4× 28 0.3× 56 0.7× 9 0.1× 61 1.6× 41 518
Julian Kreis Germany 5 231 0.7× 82 0.9× 63 0.8× 21 0.3× 32 0.8× 7 337
Dawn Koltes United States 13 134 0.4× 56 0.6× 29 0.4× 19 0.3× 41 1.1× 40 671
Linda van Dijk Netherlands 16 121 0.4× 25 0.3× 90 1.1× 34 0.6× 205 5.3× 21 552
Manijeh Mohammadi‐Dehcheshmeh Australia 14 265 0.8× 187 2.1× 11 0.1× 20 0.3× 58 1.5× 42 591
Malcolm Matalka United States 4 200 0.6× 21 0.2× 72 0.9× 16 0.3× 20 0.5× 4 327
Jiayu Shang Hong Kong 13 306 1.0× 96 1.1× 457 5.6× 79 1.3× 39 1.0× 34 672
David A. Clifton United Kingdom 6 227 0.7× 24 0.3× 21 0.3× 20 0.3× 29 0.7× 13 389
Karel Břinda United States 9 206 0.6× 29 0.3× 117 1.4× 16 0.3× 29 0.7× 19 469

Countries citing papers authored by Sebastian Spänig

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Spänig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Spänig

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

All Works

11 of 11 papers shown
1.
Li, Carmen, Chendi Zhu, Sebastian Spänig, et al.. (2024). Predicting hosts and cross-species transmission of Streptococcus agalactiae by interpretable machine learning. Computers in Biology and Medicine. 171. 108185–108185. 5 indexed citations
2.
Hattab, Georges, et al.. (2023). A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification. NAR Genomics and Bioinformatics. 5(1). lqac103–lqac103. 1 indexed citations
3.
Spänig, Sebastian, Alexander Michel, & Dominik Heider. (2023). Unsupervised encoding selection through ensemble pruning for biomedical classification. BioData Mining. 16(1). 10–10. 1 indexed citations
4.
Schulte, Clemens, Sebastian Spänig, Nathan B. P. Adams, et al.. (2022). Multivalent binding kinetics resolved by fluorescence proximity sensing. Communications Biology. 5(1). 1070–1070. 9 indexed citations
5.
Spänig, Sebastian, Julia K. Nuy, Daniela Beißer, et al.. (2021). A multi-omics study on quantifying antimicrobial resistance in European freshwater lakes. Environment International. 157. 106821–106821. 17 indexed citations
6.
Spänig, Sebastian, et al.. (2021). A large-scale comparative study on peptide encodings for biomedical classification. NAR Genomics and Bioinformatics. 3(2). lqab039–lqab039. 16 indexed citations
7.
Spänig, Sebastian, Agnes Emberger‐Klein, Jan‐Peter Sowa, et al.. (2019). The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes. Artificial Intelligence in Medicine. 100. 101706–101706. 75 indexed citations
8.
Lu, Zhigang, et al.. (2019). Males, the Wrongly Neglected Partners of the Biologically Unprecedented Male–Female Interaction of Schistosomes. Frontiers in Genetics. 10. 796–796. 12 indexed citations
9.
Spänig, Sebastian & Dominik Heider. (2019). Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. BioData Mining. 12(1). 7–7. 72 indexed citations
10.
Yu, Jie, Stefanie P. Glaeser, Sebastian Jaenicke, et al.. (2017). A review of bioinformatics platforms for comparative genomics. Recent developments of the EDGAR 2.0 platform and its utility for taxonomic and phylogenetic studies. Journal of Biotechnology. 261. 2–9. 18 indexed citations
11.
Blom, Jochen, Julian Kreis, Sebastian Spänig, et al.. (2016). EDGAR 2.0: an enhanced software platform for comparative gene content analyses. Nucleic Acids Research. 44(W1). W22–W28. 284 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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