Knut Büttner

1.7k total citations
29 papers, 1.4k citations indexed

About

Knut Büttner is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Knut Büttner has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Spectroscopy and 9 papers in Genetics. Recurrent topics in Knut Büttner's work include Advanced Proteomics Techniques and Applications (15 papers), Bacterial Genetics and Biotechnology (9 papers) and Enzyme Structure and Function (8 papers). Knut Büttner is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Bacterial Genetics and Biotechnology (9 papers) and Enzyme Structure and Function (8 papers). Knut Büttner collaborates with scholars based in Germany, Israel and Türkiye. Knut Büttner's co-authors include Michael Hecker, Dörte Becher, Jörg Bernhardt, Christian Scharf, Dirk Albrecht, Christine Eymann, Uwe Völker, Ulrike Mäder, Haike Antelmann and Andreas Otto and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Knut Büttner

29 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Knut Büttner 990 404 278 259 186 29 1.4k
Christine Eymann 958 1.0× 534 1.3× 183 0.7× 345 1.3× 212 1.1× 19 1.4k
Annette Dreisbach 734 0.7× 261 0.6× 104 0.4× 177 0.7× 61 0.3× 21 1.1k
Sandra Maaß 715 0.7× 198 0.5× 91 0.3× 198 0.8× 71 0.4× 69 1.0k
A.J. Cozzone 973 1.0× 446 1.1× 86 0.3× 209 0.8× 193 1.0× 46 1.3k
Alain J. Cozzone 1.9k 1.9× 980 2.4× 102 0.4× 536 2.1× 376 2.0× 62 2.6k
Hanna Meyer 693 0.7× 173 0.4× 66 0.2× 114 0.4× 79 0.4× 23 954
Doris Karibian 939 0.9× 248 0.6× 107 0.4× 102 0.4× 77 0.4× 42 1.7k
James F. Kane 1.5k 1.5× 398 1.0× 66 0.2× 241 0.9× 286 1.5× 47 1.8k
Carole Creuzenet 773 0.8× 210 0.5× 46 0.2× 206 0.8× 188 1.0× 46 1.3k
Jens Mattow 1.1k 1.2× 136 0.3× 327 1.2× 224 0.9× 75 0.4× 28 1.8k

Countries citing papers authored by Knut Büttner

Since Specialization
Citations

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

Fields of papers citing papers by Knut Büttner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Knut Büttner

This figure shows the co-authorship network connecting the top 25 collaborators of Knut Büttner. A scholar is included among the top collaborators of Knut Büttner 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 Knut Büttner. Knut Büttner 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.
Okay, Sezer, Volkan Yıldırım, Knut Büttner, Dörte Becher, & Gülay Özcengiz. (2020). Dynamic proteomic analysis of Phanerochaete chrysosporium under copper stress. Ecotoxicology and Environmental Safety. 198. 110694–110694. 16 indexed citations
2.
Moche, M., Dirk Albrecht, Reiner Westermeier, & Knut Büttner. (2018). Detection and Identification of Low-Abundant Proteins Using HPE Gels, Fluorescent Stains, and MALDI-ToF-ToF-MS. Methods in molecular biology. 1841. 79–93. 1 indexed citations
3.
Otto, Andreas, et al.. (2017). An Easy and Fast Protocol for Affinity Bead-Based Protein Enrichment and Storage of Proteome Samples. Methods in enzymology on CD-ROM/Methods in enzymology. 585. 1–13. 5 indexed citations
4.
Muntel, Jan, Vincent Fromion, Anne Goelzer, et al.. (2014). Comprehensive Absolute Quantification of the Cytosolic Proteome of Bacillus subtilis by Data Independent, Parallel Fragmentation in Liquid Chromatography/Mass Spectrometry (LC/MSE). Molecular & Cellular Proteomics. 13(4). 1008–1019. 78 indexed citations
5.
Obermaier, Christian, et al.. (2013). Simplification and Improvement of protein detection in two-dimensional electrophoresis gels with SERVA HPE™Lightning Red. Archives of Physiology and Biochemistry. 119(3). 94–99. 4 indexed citations
7.
Yıldırım, Volkan, Servet Özcan, Dörte Becher, et al.. (2011). Characterization of proteome alterations in Phanerochaete chrysosporium in response to lead exposure. Proteome Science. 9(1). 12–12. 18 indexed citations
8.
Jürgen, Britta, Antje Breitenstein, Vlada B. Urlacher, et al.. (2010). Quality control of inclusion bodies in Escherichia coli. Microbial Cell Factories. 9(1). 41–41. 54 indexed citations
9.
Hecker, Michael, Haike Antelmann, Knut Büttner, & Jörg Bernhardt. (2008). Gel‐based proteomics of Gram‐positive bacteria: A powerful tool to address physiological questions. PROTEOMICS. 8(23-24). 4958–4975. 43 indexed citations
10.
Hempel, Kristina, Ran Rosen, Dörte Becher, et al.. (2008). Analysis of ultra acidic proteins by the use of anodic acidic gels. Analytical Biochemistry. 385(2). 208–214. 4 indexed citations
11.
Antelmann, Haike, Dirk Albrecht, Dörte Becher, et al.. (2006). Towards the entire proteome of the model bacterium Bacillus subtilis by gel-based and gel-free approaches. Journal of Chromatography B. 849(1-2). 129–140. 45 indexed citations
12.
Otto, Andreas, Dirk Albrecht, Knut Büttner, et al.. (2006). Gel-free and Gel-based Proteomics in Bacillus subtilis. Molecular & Cellular Proteomics. 5(7). 1183–1192. 73 indexed citations
13.
Köhler, Christian, Dirk Albrecht, Stephan Fuchs, et al.. (2005). Proteome analyses of Staphylococcus aureus in growing and non-growing cells: A physiological approach. International Journal of Medical Microbiology. 295(8). 547–565. 76 indexed citations
14.
Rosen, Ran, Ayelet Sacher, Dörte Becher, et al.. (2004). Two‐dimensional reference map of Agrobacterium tumefaciens proteins. PROTEOMICS. 4(4). 1061–1073. 41 indexed citations
15.
Rosen, Ran, Dörte Becher, Knut Büttner, et al.. (2004). Highly phosphorylated bacterial proteins. PROTEOMICS. 4(10). 3068–3077. 38 indexed citations
16.
Eymann, Christine, Annette Dreisbach, Dirk Albrecht, et al.. (2004). A comprehensive proteome map of growing Bacillus subtilis cells. PROTEOMICS. 4(10). 2849–2876. 248 indexed citations
17.
Krah, Alexander, Frank Schmidt, Dörte Becher, et al.. (2003). Analysis of Automatically Generated Peptide Mass Fingerprints of Cellular Proteins and Antigens from Helicobacter pylori 26695 Separated by Two-dimensional Electrophoresis. Molecular & Cellular Proteomics. 2(12). 1271–1283. 21 indexed citations
18.
Bandow, Julia E., Dörte Becher, Knut Büttner, et al.. (2003). The role of peptide deformylase in protein biosynthesis: A proteomic study. PROTEOMICS. 3(3). 299–306. 43 indexed citations
19.
Büttner, Knut, Jörg Bernhardt, Christian Scharf, et al.. (2001). A comprehensive two-dimensional map of cytosolic proteins ofBacillus subtilis. Electrophoresis. 22(14). 2908–2935. 200 indexed citations
20.
Bernhardt, Jörg, Knut Büttner, Christian Scharf, & Michael Hecker. (1999). Dual channel imaging of two-dimensional electropherograms inBacillus subtilis. Electrophoresis. 20(11). 2225–2240. 129 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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