Michael Hecker

35.9k total citations
463 papers, 24.6k citations indexed

About

Michael Hecker is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michael Hecker has authored 463 papers receiving a total of 24.6k indexed citations (citations by other indexed papers that have themselves been cited), including 337 papers in Molecular Biology, 239 papers in Genetics and 116 papers in Ecology. Recurrent topics in Michael Hecker's work include Bacterial Genetics and Biotechnology (236 papers), Enzyme Structure and Function (114 papers) and Bacteriophages and microbial interactions (107 papers). Michael Hecker is often cited by papers focused on Bacterial Genetics and Biotechnology (236 papers), Enzyme Structure and Function (114 papers) and Bacteriophages and microbial interactions (107 papers). Michael Hecker collaborates with scholars based in Germany, Netherlands and United States. Michael Hecker's co-authors include Uwe Völker, Susanne Engelmann, Haike Antelmann, Dörte Becher, Christian Scharf, Jörg Bernhardt, Dirk Albrecht, Ulf Gerth, Jan Pané‐Farré and Roland Schmid and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Hecker

453 papers receiving 24.0k citations

Author Peers

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

Author Last Decade Papers Cites
Michael Hecker 16.9k 9.3k 5.4k 4.3k 3.3k 463 24.6k
Masayori Inouye 29.4k 1.7× 16.3k 1.8× 8.3k 1.6× 2.2k 0.5× 4.4k 1.3× 624 38.9k
Hiroshi Nikaido 19.3k 1.1× 12.0k 1.3× 5.0k 0.9× 5.9k 1.4× 2.0k 0.6× 279 43.2k
John D. Helmann 12.5k 0.7× 8.7k 0.9× 4.5k 0.8× 1.9k 0.4× 2.0k 0.6× 241 21.0k
F. William Studier 26.8k 1.6× 11.7k 1.3× 8.2k 1.5× 2.5k 0.6× 2.8k 0.8× 98 36.5k
Arnold J. M. Driessen 17.6k 1.0× 8.2k 0.9× 3.9k 0.7× 913 0.2× 2.6k 0.8× 451 24.5k
Frederick C. Neidhardt 19.1k 1.1× 9.8k 1.1× 4.3k 0.8× 1.0k 0.2× 3.4k 1.0× 134 25.8k
John E. Cronan 17.5k 1.0× 4.8k 0.5× 2.0k 0.4× 1.0k 0.2× 2.6k 0.8× 389 24.6k
Barry L. Wanner 19.5k 1.2× 13.3k 1.4× 4.9k 0.9× 1.8k 0.4× 2.2k 0.7× 111 29.5k
Jeffrey H Miller 30.8k 1.8× 17.7k 1.9× 6.5k 1.2× 1.3k 0.3× 3.1k 0.9× 180 41.6k
Thomas J. Silhavy 19.2k 1.1× 16.7k 1.8× 5.2k 1.0× 1.2k 0.3× 3.0k 0.9× 265 28.5k

Countries citing papers authored by Michael Hecker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hecker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hecker. A scholar is included among the top collaborators of Michael Hecker 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 Michael Hecker. Michael Hecker 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.
Clarke, David J., et al.. (2021). Improved identification and quantification of peptides in mass spectrometry data via chemical and random additive noise elimination (CRANE). Bioinformatics. 37(24). 4719–4726. 5 indexed citations
2.
Reder, Alexander, et al.. (2020). Complementation studies with human ClpP in Bacillus subtilis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(9). 118744–118744. 2 indexed citations
3.
Meyer, Hanna, et al.. (2014). A time resolved metabolomics study: the influence of different carbon sources during growth and starvation of Bacillus subtilis. Molecular BioSystems. 10(7). 1812–1823. 21 indexed citations
4.
Molière, Noël, Etienne Maisonneuve, Alexander Elsholz, et al.. (2014). The role of thiol oxidative stress response in heat‐induced protein aggregate formation during thermotolerance in Bacillus subtilis. Molecular Microbiology. 91(5). 1036–1052. 49 indexed citations
5.
Elsholz, Alexander, Kürşad Turgay, Stephan Michalik, et al.. (2012). Global impact of protein arginine phosphorylation on the physiology of Bacillus subtilis. Proceedings of the National Academy of Sciences. 109(19). 7451–7456. 116 indexed citations
6.
Liebeke, Manuel, Daniela Zühlke, Jörg Bernhardt, et al.. (2011). A metabolomics and proteomics study of the adaptation of Staphylococcus aureus to glucose starvation. Molecular BioSystems. 7(4). 1241–1253. 83 indexed citations
7.
Elsholz, Alexander, Ulf Gerth, & Michael Hecker. (2010). Regulation of CtsR Activity in Low GC, Gram+ Bacteria. Advances in microbial physiology. 57. 119–144. 22 indexed citations
8.
Becher, Dörte, Kristina Hempel, Susanne Sievers, et al.. (2009). A Proteomic View of an Important Human Pathogen – Towards the Quantification of the Entire Staphylococcus aureus Proteome. PLoS ONE. 4(12). e8176–e8176. 125 indexed citations
9.
Hecker, Michael, Dörte Becher, Stephan Fuchs, & Susanne Engelmann. (2009). A proteomic view of cell physiology and virulence of Staphylococcus aureus. International Journal of Medical Microbiology. 300(2-3). 76–87. 51 indexed citations
10.
Bernhardt, Jörg, Stefan Funke, Michael Hecker, & Juliane Siebourg‐Polster. (2009). Visualizing Gene Expression Data via Voronoi Treemaps. 233–241. 50 indexed citations
11.
Altındiş, Emrah, et al.. (2008). Immunoproteomic analysis of Bordetella pertussis and identification of new immunogenic proteins. Vaccine. 27(4). 542–548. 45 indexed citations
12.
Becker, Karsten, Gabriele Bierbaum, Christof von Eiff, et al.. (2007). Understanding the physiology and adaptation of staphylococci: A post-genomic approach. International Journal of Medical Microbiology. 297(7-8). 483–501. 32 indexed citations
13.
Bandow, Julia E. & Michael Hecker. (2007). Proteomic profiling of cellular stresses in Bacillus subtilis reveals cellular networks and assists in elucidating antibiotic mechanisms of action. Birkhäuser Basel eBooks. 64. 79–101. 25 indexed citations
14.
Lorenz, Udo, Tina Schäfer, Wilma Ziebuhr, et al.. (2007). The alternative sigma factor sigma B of Staphylococcus aureus modulates virulence in experimental central venous catheter-related infections. Microbes and Infection. 10(3). 217–223. 28 indexed citations
15.
Hochgräfe, Falko, Jörg Mostertz, Dirk Albrecht, & Michael Hecker. (2005). Fluorescence thiol modification assay: oxidatively modified proteins in Bacillus subtilis. Molecular Microbiology. 58(2). 409–425. 74 indexed citations
16.
Jongbloed, Jan D.H., Haike Antelmann, Michael Hecker, et al.. (2004). Two minimal Tat translocases in Bacillus. Molecular Microbiology. 54(5). 1319–1325. 155 indexed citations
17.
Vitikainen, Marika, Ilkka Lappalainen, Raili Seppälä, et al.. (2004). Structure-Function Analysis of PrsA Reveals Roles for the Parvulin-like and Flanking N- and C-terminal Domains in Protein Folding and Secretion in Bacillus subtilis. Journal of Biological Chemistry. 279(18). 19302–19314. 96 indexed citations
18.
Bandow, Julia E., Heike Brötz, Lars I. Leichert, Harald Labischinski, & Michael Hecker. (2003). Proteomic Approach to Understanding Antibiotic Action. Antimicrobial Agents and Chemotherapy. 47(3). 948–955. 304 indexed citations
19.
Mach, Hiltraut, et al.. (1984). Evidence for the presence of cyclic adenosine monophosphate inBacillus subtilis. FEMS Microbiology Letters. 22(1). 27–30. 25 indexed citations
20.

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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