Erhan Kenar

1.2k total citations
10 papers, 260 citations indexed

About

Erhan Kenar is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management. According to data from OpenAlex, Erhan Kenar has authored 10 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Information Systems and Management. Recurrent topics in Erhan Kenar's work include Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Erhan Kenar is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Erhan Kenar collaborates with scholars based in Germany, Switzerland and Austria. Erhan Kenar's co-authors include Oliver Kohlbacher, Sven Nahnsen, Andreas Quandt, Marc Sturm, Lars Malmström, Hendrik Weisser, Ruedi Aebersold, Jonas Grossmann, Lars Nilse and Rainer Lehmann and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Erhan Kenar

10 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erhan Kenar Germany	6	186	126	20	18	16	10	260
Alexandra Zerck Germany	5	506 2.7×	372 3.0×	51 2.5×	12 0.7×	38 2.4×	5	608
Dominik Fay Sweden	4	259 1.4×	212 1.7×	23 1.1×	2 0.1×	34 2.1×	6	354
Matthieu Funk Switzerland	7	205 1.1×	137 1.1×	23 1.1×	3 0.2×	9 0.6×	13	364
Vitaly Kovalev United States	4	301 1.6×	243 1.9×	25 1.3×	2 0.1×	37 2.3×	4	387
Michał Krassowski United Kingdom	4	220 1.2×	30 0.2×	9 0.5×	8 0.4×	6 0.4×	5	293
Sujun Li United States	14	417 2.2×	181 1.4×	10 0.5×		16 1.0×	33	537
Jason Cochran United States	3	213 1.1×	107 0.8×	8 0.4×	2 0.1×	18 1.1×	3	280
Greg Taylor United States	5	247 1.3×	143 1.1×	14 0.7×	4 0.2×	31 1.9×	6	344
Benjamin Pullman United States	5	217 1.2×	120 1.0×	7 0.3×	4 0.2×	7 0.4×	8	259
Enrique Audain United Kingdom	7	161 0.9×	89 0.7×	11 0.6×	4 0.2×	7 0.4×	12	249

Countries citing papers authored by Erhan Kenar

Since Specialization

Citations

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

Fields of papers citing papers by Erhan Kenar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhan Kenar

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

All Works

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10 of 10 papers shown

1.

Mohr, Christopher, Erhan Kenar, Marius Cosmin Codrea, et al.. (2018). qPortal: A platform for data-driven biomedical research. PLoS ONE. 13(1). e0191603–e0191603. 9 indexed citations

2.

Mohr, Christopher, Erhan Kenar, Marius Cosmin Codrea, et al.. (2017). qPortal – A science gateway for biomedical applications. 1 indexed citations

3.

Aiche, Stephan, Timo Sachsenberg, Erhan Kenar, et al.. (2015). Workflows for automated downstream data analysis and visualization in large‐scale computational mass spectrometry. PROTEOMICS. 15(8). 1443–1447. 23 indexed citations

4.

Kenar, Erhan, et al.. (2015). Intuitive Web-Based Experimental Design for High-Throughput Biomedical Data. BioMed Research International. 2015. 1–8. 2 indexed citations

5.

Kenar, Erhan, Holger Franken, Rainer Lehmann, et al.. (2014). Metabolites from Liquid Chromatography-Mass Spectrometry Data. Molecular & Cellular Proteomics. 13(1). 1 indexed citations

6.

Wágner, Róbert, Jia Li, Erhan Kenar, et al.. (2014). Clinical and non-targeted metabolomic profiling of homozygous carriers of Transcription Factor 7-like 2 variant rs7903146. Scientific Reports. 4(1). 5296–5296. 11 indexed citations

7.

Kenar, Erhan, Holger Franken, Sara Forcisi, et al.. (2013). Automated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data. Molecular & Cellular Proteomics. 13(1). 348–359. 67 indexed citations

8.

Weisser, Hendrik, Sven Nahnsen, Jonas Grossmann, et al.. (2013). An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics. Journal of Proteome Research. 12(4). 1628–1644. 124 indexed citations

9.

Lucio, Marianna, Sara Forcisi, Silke S. Heinzmann, et al.. (2012). „Metabolomics“ in der Diabetesforschung. Der Diabetologe. 8(1). 42–48. 3 indexed citations

10.

Guo, Jiong, Falk Hüffner, Erhan Kenar, Rolf Niedermeier, & Johannes Uhlmann. (2007). Complexity and exact algorithms for vertex multicut in interval and bounded treewidth graphs. European Journal of Operational Research. 186(2). 542–553. 19 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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