Jan E. Gewehr

424 total citations
13 papers, 169 citations indexed

About

Jan E. Gewehr is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan E. Gewehr has authored 13 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Materials Chemistry and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Jan E. Gewehr's work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (4 papers). Jan E. Gewehr is often cited by papers focused on Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (4 papers). Jan E. Gewehr collaborates with scholars based in Germany. Jan E. Gewehr's co-authors include Ralf Zimmer, Fabian Birzele, Gergely Csaba, Jan T. Kim, Thomas Martinetz, Christoph Müller, Sebastian Haferkamp, Sven Zenker, Sebastian Stäubert and Thomas Wendt and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jan E. Gewehr

11 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan E. Gewehr Germany 6 138 37 18 11 10 13 169
Gabrielle A. Reeves United Kingdom 7 249 1.8× 67 1.8× 7 0.4× 9 0.8× 10 1.0× 7 263
Laia Codó Spain 5 99 0.7× 15 0.4× 7 0.4× 6 0.5× 10 1.0× 6 140
Anup Kumar Germany 8 114 0.8× 23 0.6× 9 0.5× 20 1.8× 2 0.2× 15 168
Esmeralda Vicedo Germany 7 174 1.3× 42 1.1× 11 0.6× 14 1.3× 29 2.9× 10 229
Meik Bittkowski Germany 5 267 1.9× 16 0.4× 10 0.6× 32 2.9× 4 0.4× 5 305
James Scott-Brown United Kingdom 6 153 1.1× 20 0.5× 6 0.3× 27 2.5× 4 0.4× 11 194
Darby Tien-Hao Chang Taiwan 10 264 1.9× 42 1.1× 16 0.9× 73 6.6× 7 0.7× 19 318
Mary Ann Tuli United Kingdom 6 163 1.2× 7 0.2× 16 0.9× 7 0.6× 17 1.7× 10 205
Tobias Olenyi Germany 4 237 1.7× 19 0.5× 13 0.7× 25 2.3× 5 0.5× 9 260
Joicymara S. Xavier Brazil 6 94 0.7× 24 0.6× 9 0.5× 21 1.9× 3 0.3× 15 133

Countries citing papers authored by Jan E. Gewehr

Since Specialization
Citations

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

Fields of papers citing papers by Jan E. Gewehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan E. Gewehr. 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 Jan E. Gewehr. The network helps show where Jan E. Gewehr may publish in the future.

Co-authorship network of co-authors of Jan E. Gewehr

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

All Works

13 of 13 papers shown
1.
Wurlitzer, Marcus, et al.. (2024). Unlocking the Potential of Secondary Data for Public Health Research: Retrospective Study With a Novel Clinical Platform. SHILAP Revista de lepidopterología. 13. e51563–e51563. 2 indexed citations
3.
Ganslandt, Thomas, Jan E. Gewehr, Christian Haverkamp, et al.. (2019). Towards a Medication Core Data Set for the Medical Informatics Initiative (MII): Initial Mapping Experience between the German Procedure Classification (OPS) and the Identification of Medicinal Products (IDMP).. 1 indexed citations
4.
Müller, Christoph, Sebastian Haferkamp, Sebastian Stäubert, et al.. (2019). Integrating Heterogeneous Data Sources for Cross-Institutional Data Sharing: Requirements Elicitation and Management in SMITH. Studies in health technology and informatics. 264. 1785–1786. 6 indexed citations
5.
Birzele, Fabian, Jan E. Gewehr, Gergely Csaba, & Ralf Zimmer. (2007). Vorolign—fast structural alignment using Voronoi contacts. Bioinformatics. 23(2). e205–e211. 43 indexed citations
6.
Birzele, Fabian, Jan E. Gewehr, & Ralf Zimmer. (2007). AutoPSI: a database for automatic structural classification of protein sequences and structures. Nucleic Acids Research. 36(Database). D398–D401. 3 indexed citations
7.
Gewehr, Jan E., et al.. (2007). BioWeka—extending the Weka framework for bioinformatics. Bioinformatics. 23(5). 651–653. 38 indexed citations
8.
Gewehr, Jan E., et al.. (2007). AutoSCOP: automated prediction of SCOP classifications using unique pattern-class mappings. Bioinformatics. 23(10). 1203–1210. 19 indexed citations
9.
Birzele, Fabian, Jan E. Gewehr, & Ralf Zimmer. (2005). QUASAR—scoring and ranking of sequence–structure alignments. Bioinformatics. 21(24). 4425–4426. 2 indexed citations
10.
Gewehr, Jan E. & Ralf Zimmer. (2005). SSEP-Domain: protein domain prediction by alignment of secondary structure elements and profiles. Bioinformatics. 22(2). 181–187. 42 indexed citations
11.
Gewehr, Jan E., et al.. (2004). Combining secondary structure element alignment and profile-profile alignment for fold recognition. 141–148.
12.
Martinetz, Thomas, et al.. (2004). Statistical learning for detecting protein-DNA-binding sites. UEA Digital Repository (University of East Anglia). 4. 2940–2945.
13.
Kim, Jan T., Jan E. Gewehr, & Thomas Martinetz. (2004). BINDING MATRIX: A NOVEL APPROACH FOR BINDING SITE RECOGNITION. Journal of Bioinformatics and Computational Biology. 2(2). 289–307. 12 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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