Sören Abel
- Endocrinology top 0.5%
- Vibrio bacteria research studies 10
- Escherichia coli research studies 6
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 8
- Genetics top 2%
- Bacterial Genetics and Biotechnology 11
- Evolution and Genetic Dynamics 5
- Molecular Biology top 10%
- Bacterial biofilms and quorum sensing 6
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- Antibiotics Pharmacokinetics and Efficacy 3
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- Bacteriophages and microbial interactions 2
- Co-authors
- Urs JenalMatthew K. WaldorBrigid M. DavisPia Abel zur WieschMichael C. ChaoMarc FolcherPaul WassmannRalf Paul
- Journals
- PLoS Pathogens (3 papers)Computational and Structural Biotechnology Journal (3 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesNorwaySwitzerland
In The Last Decade
Sören Abel
28 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 561
- Molecular Medicine 248
- Genetics 903
- Molecular Biology 1.2k
- Applied Microbiology and Biotechnology 35
Countries citing papers authored by Sören Abel
This map shows the geographic impact of Sören Abel'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 Sören Abel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sören Abel more than expected).
Fields of papers citing papers by Sören Abel
This network shows the impact of papers produced by Sören Abel. 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 Sören Abel. The network helps show where Sören Abel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sören Abel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 6 | |
| 7 | 2016 | 160 | |
| 8 | 2016 | 50 | |
| 9 | 2015 | 107 | |
| 10 | 2015 | 144 | |
| 11 | 2015 | 85 | |
| 12 | 2014 | 117 | |
| 13 | 2014 | 71 | |
| 14 | 2014 | 70 | |
| 15 | 2013 | 107 | |
| 16 | 2011 | 131 | |
| 17 | 2010 | 129 | |
| 18 | 2009 | 240 | |
| 19 | 2007 | 147 | |
| 20 | 2004 | 347 |
About Sören Abel
Sören Abel is a scholar working on Endocrinology, Molecular Medicine, Genetics, Applied Microbiology and Biotechnology and Parasitology, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Vibrio bacteria research studies (10 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (6 papers), Escherichia coli research studies (6 papers), Evolution and Genetic Dynamics (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Endocrinology (561 citations), Molecular Medicine (248 citations), Genetics (903 citations), Molecular Biology (1.2k citations) and Applied Microbiology and Biotechnology (35 citations). Sören Abel has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include Urs Jenal, Matthew K. Waldor, Brigid M. Davis, Pia Abel zur Wiesch, Michael C. Chao, Marc Folcher, Paul Wassmann, Ralf Paul, Tilman Schirmer and Volkhard Kaever. Their work appears in journals such as PLoS Pathogens, Computational and Structural Biotechnology Journal, PLoS Genetics, Cell and Proceedings of the National Academy of Sciences.
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.