Johan Elf
Impact in
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 0.5%
Papers in
-
- RNA and protein synthesis mechanisms 26
- Gene Regulatory Network Analysis 26
- Diffusion and Search Dynamics 16
- DNA and Nucleic Acid Chemistry 12
- Genetics 34
- Bacterial Genetics and Biotechnology 31
- Co-authors
- Måns Ehrenberg (16 shared papers)Gene‐Wei Li (3 shared papers)David Fange (17 shared papers)Xiao Xie (1 shared paper)Otto G. Berg (11 shared papers)Arvid H. Gynnå (4 shared papers)Özden Baltekin (6 shared papers)Fredrik Persson (5 shared papers)
- Journals
- Nature Communications (9 papers)Biophysical Journal (8 papers)Proceedings of the National Academy of Sciences (8 papers)Science (6 papers)PLoS Computational Biology (4 papers)
- Partner nations
- SwedenUnited StatesEstonia
In The Last Decade
Johan Elf
92 papers receiving 7.6k citations
Johan Elf's Hit Papers
Peers
Comparison fields: 5 of 151
- Biophysics 1.7k
- Structural Biology 414
- Genetics 2.3k
- Molecular Biology 5.6k
- Molecular Medicine 304
Countries citing papers authored by Johan Elf
This map shows the geographic impact of Johan Elf'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 Johan Elf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Elf more than expected).
Fields of papers citing papers by Johan Elf
This network shows the impact of papers produced by Johan Elf. 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 Johan Elf. The network helps show where Johan Elf may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Elf, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Probing Transcription Factor Dynamics at the Single-Molecule Level in a Living Cell Hit paper breakdown → | 2007 | 852 |
| 2 | Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes Hit paper breakdown → | 2016 | 846 |
| 3 | 2003 | 468 | |
| 4 | 2012 | 315 | |
| 5 | 2017 | 314 | |
| 6 | 2013 | 311 | |
| 7 | 2003 | 289 | |
| 8 | 2015 | 286 | |
| 9 | 2004 | 276 | |
| 10 | 2005 | 240 | |
| 11 | 2011 | 224 | |
| 12 | 2003 | 211 | |
| 13 | 2016 | 208 | |
| 14 | 2005 | 197 | |
| 15 | 2009 | 177 | |
| 16 | 2006 | 152 | |
| 17 | 2014 | 145 | |
| 18 | 2010 | 132 | |
| 19 | 2017 | 129 | |
| 20 | 2014 | 107 |
About Johan Elf
Johan Elf is a scholar working on Molecular Biology, Genetics, Biophysics, Ecology and Biomedical Engineering, having authored 94 papers that have together received 7.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (31 papers), RNA and protein synthesis mechanisms (26 papers), Gene Regulatory Network Analysis (26 papers), Advanced Fluorescence Microscopy Techniques (16 papers), Diffusion and Search Dynamics (16 papers), DNA and Nucleic Acid Chemistry (12 papers), Cell Image Analysis Techniques (10 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Biophysics (1.7k citations), Structural Biology (414 citations), Genetics (2.3k citations), Molecular Biology (5.6k citations) and Molecular Medicine (304 citations). Johan Elf has collaborated with scholars based in Sweden, United States and Estonia. Frequent co-authors include Måns Ehrenberg, Gene‐Wei Li, David Fange, Xiao Xie, Otto G. Berg, Arvid H. Gynnå, Özden Baltekin, Fredrik Persson, Martin Lindén and Stefan W. Hell. Their work appears in journals such as Nature Communications, Biophysical Journal, Proceedings of the National Academy of Sciences, Science and PLoS Computational Biology.
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.