Stefan Seemayer

1.8k total citations
5 papers, 429 citations indexed

About

Stefan Seemayer is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Stefan Seemayer has authored 5 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Stefan Seemayer's work include Protein Structure and Dynamics (4 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Phylogenetic Studies (2 papers). Stefan Seemayer is often cited by papers focused on Protein Structure and Dynamics (4 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Phylogenetic Studies (2 papers). Stefan Seemayer collaborates with scholars based in Germany, United States and Austria. Stefan Seemayer's co-authors include Johannes Söding, Markus Gruber, Abhishek Singharoy, Eli O. van der Sluis, Stephan Wickles, Johannes Soeding, Otto Berninghausen, Klaus Schulten, Lukas Bischoff and Jessica Andréani and has published in prestigious journals such as Nature Communications, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Stefan Seemayer

5 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Seemayer Germany	5	399	107	50	50	21	5	429
Majid Masso United States	11	439 1.1×	105 1.0×	46 0.9×	82 1.6×	15 0.7×	39	532
Vykintas Jauniškis Lithuania	5	293 0.7×	24 0.2×	27 0.5×	39 0.8×	35 1.7×	5	355
Athanasios Dousis United States	7	397 1.0×	142 1.3×	60 1.2×	21 0.4×	22 1.0×	9	419
Jingzhou Hao United States	4	333 0.8×	60 0.6×	35 0.7×	23 0.5×	8 0.4×	4	391
Marco Giulini Italy	8	188 0.5×	89 0.8×	28 0.6×	12 0.2×	9 0.4×	16	290
Mirco Michel Sweden	7	312 0.8×	110 1.0×	74 1.5×	18 0.4×	10 0.5×	8	330
Harpreet Kaur India	10	513 1.3×	69 0.6×	55 1.1×	27 0.5×	12 0.6×	17	549
Aleix Lafita United Kingdom	10	313 0.8×	86 0.8×	21 0.4×	25 0.5×	20 1.0×	16	355
Ioannis Filippis United Kingdom	10	313 0.8×	59 0.6×	46 0.9×	68 1.4×	8 0.4×	12	381
David Menéndez Hurtado Sweden	7	325 0.8×	133 1.2×	100 2.0×	16 0.3×	5 0.2×	11	357

Countries citing papers authored by Stefan Seemayer

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Seemayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Seemayer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Seemayer. A scholar is included among the top collaborators of Stefan Seemayer 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 Stefan Seemayer. Stefan Seemayer 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.

Schachtschabel, Doreen, et al.. (2024). Solvent concentration at 50% protein unfolding may reform enzyme stability ranking and process window identification. Nature Communications. 15(1). 5420–5420. 7 indexed citations

2.

Seemayer, Stefan, et al.. (2018). Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction. PLoS Computational Biology. 14(11). e1006526–e1006526. 14 indexed citations

3.

Seemayer, Stefan, Markus Gruber, & Johannes Söding. (2014). CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations. Bioinformatics. 30(21). 3128–3130. 288 indexed citations

4.

Wickles, Stephan, Abhishek Singharoy, Jessica Andréani, et al.. (2014). A structural model of the active ribosome-bound membrane protein insertase YidC. eLife. 3. e03035–e03035. 69 indexed citations

5.

Hamp, Tobias, Stefan Seemayer, Esmeralda Vicedo, et al.. (2013). Homology-based inference sets the bar high for protein function prediction. BMC Bioinformatics. 14(S3). S7–S7. 51 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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