Jörg Bernhardt
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Genetics top 1%
- Bacterial Genetics and Biotechnology
Papers in
- Spectroscopy 33
- Advanced Proteomics Techniques and Applications 32
- Genetics 40
- Bacterial Genetics and Biotechnology 40
- Co-authors
- Michael Hecker (44 shared papers)Dörte Becher (29 shared papers)Haike Antelmann (20 shared papers)Uwe Völker (19 shared papers)Katharina Riedel (24 shared papers)Daniela Zühlke (18 shared papers)Knut Büttner (6 shared papers)Christine Eymann (8 shared papers)
- Journals
- PROTEOMICS (21 papers)Journal of Bacteriology (5 papers)Molecular & Cellular Proteomics (5 papers)Journal of Proteome Research (4 papers)Scientific Reports (4 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jörg Bernhardt
110 papers receiving 7.3k citations
Jörg Bernhardt's Hit Papers
Peers
Comparison fields: 5 of 134
- Spectroscopy 1.1k
- Genetics 1.6k
- Infectious Diseases 881
- Ecology 1.1k
- Molecular Biology 2.2k
Countries citing papers authored by Jörg Bernhardt
This map shows the geographic impact of Jörg Bernhardt'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 Jörg Bernhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Bernhardt more than expected).
Fields of papers citing papers by Jörg Bernhardt
This network shows the impact of papers produced by Jörg Bernhardt. 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 Jörg Bernhardt. The network helps show where Jörg Bernhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Bernhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 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 → | 2012 | 1156 |
| 2 | 2014 | 300 | |
| 3 | 2014 | 259 | |
| 4 | 2017 | 259 | |
| 5 | 2004 | 252 | |
| 6 | 2018 | 205 | |
| 7 | 2001 | 201 | |
| 8 | 2007 | 196 | |
| 9 | 2010 | 154 | |
| 10 | 1999 | 145 | |
| 11 | 1999 | 139 | |
| 12 | 2009 | 135 | |
| 13 | The Lichens’ Microbiota, Still a Mystery? Hit paper breakdown → | 2021 | 134 |
| 14 | 2017 | 133 | |
| 15 | 1997 | 129 | |
| 16 | 2012 | 121 | |
| 17 | 2012 | 120 | |
| 18 | 2016 | 119 | |
| 19 | 2018 | 115 | |
| 20 | 2005 | 103 |
About Jörg Bernhardt
Jörg Bernhardt is a scholar working on Spectroscopy, Genetics, Infectious Diseases, Molecular Biology and Plant Science, having authored 110 papers that have together received 7.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (40 papers), Advanced Proteomics Techniques and Applications (32 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Redox biology and oxidative stress (7 papers), Genomics and Phylogenetic Studies (7 papers), Antifungal resistance and susceptibility (4 papers), Microbial Community Ecology and Physiology (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Genetics (1.6k citations), Infectious Diseases (881 citations), Ecology (1.1k citations) and Molecular Biology (2.2k citations). Jörg Bernhardt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michael Hecker, Dörte Becher, Haike Antelmann, Uwe Völker, Katharina Riedel, Daniela Zühlke, Knut Büttner, Christine Eymann, Matthias Berth and Christian Scharf. Their work appears in journals such as PROTEOMICS, Journal of Bacteriology, Molecular & Cellular Proteomics, Journal of Proteome Research and Scientific Reports.
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.