Stefan E. Heiden
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 23
-
- Escherichia coli research studies 4
- Vibrio bacteria research studies 3
- Co-authors
- Katharina Schaufler (25 shared papers)Elias Eger (18 shared papers)Jürgen A. Bohnert (13 shared papers)Thomas Schweder (7 shared papers)Karsten Becker (12 shared papers)Sebastian Guenther (9 shared papers)Stephanie Markert (5 shared papers)Dörte Becher (5 shared papers)
- Journals
- Antibiotics (4 papers)Microbiology Spectrum (3 papers)Frontiers in Microbiology (3 papers)Environmental Microbiology (2 papers)The ISME Journal (2 papers)
- Partner nations
- GermanyUnited StatesRwanda
In The Last Decade
Stefan E. Heiden
33 papers receiving 856 citations
Peers
Comparison fields: 5 of 73
- Molecular Medicine 329
- Endocrinology 103
- Applied Microbiology and Biotechnology 33
- Pollution 151
- Biotechnology 92
Countries citing papers authored by Stefan E. Heiden
This map shows the geographic impact of Stefan E. Heiden'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 Stefan E. Heiden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan E. Heiden more than expected).
Fields of papers citing papers by Stefan E. Heiden
This network shows the impact of papers produced by Stefan E. Heiden. 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 Stefan E. Heiden. The network helps show where Stefan E. Heiden may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan E. Heiden, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2018 | 92 | |
| 3 | 2021 | 61 | |
| 4 | 2016 | 56 | |
| 5 | 2014 | 44 | |
| 6 | 2016 | 43 | |
| 7 | 2021 | 42 | |
| 8 | 2023 | 42 | |
| 9 | 2014 | 37 | |
| 10 | 2017 | 35 | |
| 11 | 2021 | 31 | |
| 12 | 2022 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2017 | 26 | |
| 15 | 2019 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2020 | 16 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2023 | 12 |
About Stefan E. Heiden
Stefan E. Heiden is a scholar working on Molecular Medicine, Endocrinology, Clinical Biochemistry, Ecology and Pollution, having authored 36 papers that have together received 866 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (23 papers), Bacterial Identification and Susceptibility Testing (5 papers), Escherichia coli research studies (4 papers), Microbial Community Ecology and Physiology (4 papers), Bacteriophages and microbial interactions (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Vibrio bacteria research studies (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Medicine (329 citations), Endocrinology (103 citations), Applied Microbiology and Biotechnology (33 citations), Pollution (151 citations) and Biotechnology (92 citations). Stefan E. Heiden has collaborated with scholars based in Germany, United States and Rwanda. Frequent co-authors include Katharina Schaufler, Elias Eger, Jürgen A. Bohnert, Thomas Schweder, Karsten Becker, Sebastian Guenther, Stephanie Markert, Dörte Becher, Sabine Mundt and Nils‐Olaf Hübner. Their work appears in journals such as Antibiotics, Microbiology Spectrum, Frontiers in Microbiology, Environmental Microbiology and The ISME Journal.
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.