Michael Hecker

470 papers receiving 29.8k citations

Michael Hecker's Hit Papers

Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis 2012 · 727 citations
7270+7+15Years since publication2505007501k

Peers

Michael Hecker
Comparison fields: 5 of 162
  • Genetics 13.7k
  • Biotechnology 1.6k
  • Infectious Diseases 3.5k
  • Spectroscopy 2.7k
  • Molecular Biology 10.2k
Replace Masayori Inouye with:
Masayori Inouye United States
Jan Maarten van Dijl Netherlands
Robert J. Dodson United States
Dörte Becher Germany
Simon J. Foster United Kingdom
Alfred Pühler Germany
Teresa R. Utterback United States
Steven R. Gill United States
Fiona S. L. Brinkman Canada
Aron Marchler‐Bauer United States
Michael Hecker relative to Masayori Inouye United States Masayori Inouye's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael Hecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Hecker Line = papers co-authored together Michael Hecker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 474 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Substrate-Controlled Succession of Marine Bacterioplankton Populations Induced by a Phytoplankton Bloom
Hit paper breakdown →
20121156
2
Essential Bacillus subtilis genes
Hit paper breakdown →
20031154
3
Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis
Hit paper breakdown →
2012727
4 1996511
5 2004493
6 2007397
7 2001385
8 2001382
9 1994334
10 2010323
11 2003318
12 2013310
13 2001272
14 1992271
15 2007271
16 2002264
17 2006260
18 2004252
19 2006233
20 2012227

About Michael Hecker

Michael Hecker is a scholar working on Genetics, Spectroscopy, Infectious Diseases, Molecular Biology and Endocrinology, having authored 474 papers that have together received 30.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (285 papers), Advanced Proteomics Techniques and Applications (79 papers), Antimicrobial Resistance in Staphylococcus (47 papers), Heat shock proteins research (45 papers), Seed Germination and Physiology (20 papers), Redox biology and oxidative stress (19 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Fungal and yeast genetics research (11 papers). The work is most often cited by research in Genetics (13.7k citations), Biotechnology (1.6k citations), Infectious Diseases (3.5k citations), Spectroscopy (2.7k citations) and Molecular Biology (10.2k citations). Michael Hecker has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Uwe Völker, Susanne Engelmann, Haike Antelmann, Dörte Becher, Jan Maarten van Dijl, Christian Scharf, Jörg Bernhardt, Dirk Albrecht, Ulf Gerth and Jan Pané‐Farré. Their work appears in journals such as PROTEOMICS, Journal of Bacteriology, Molecular Microbiology, Journal of Basic Microbiology and International Journal of Medical Microbiology.

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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