Sebastian Haller
- Infectious Diseases top 5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Medicine top 2%
- Surgery
- Co-authors
- Tim EckmannsMuna Abu SinDiamantis PlachourasThomas HarderDominique L. MonnetTanja DucombleC. SuetensEdward Velasco
- Topics
- Antibiotic Resistance in Bacteria (12 papers)COVID-19 epidemiological studies (10 papers)Antibiotic Use and Resistance (9 papers)
- Cited by
- Applied Microbiology and BiotechnologyMolecular MedicineCritical Care and Intensive Care Medicine
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Sebastian Haller
58 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Infectious Diseases 519
- Epidemiology 443
- Pulmonary and Respiratory Medicine 437
- Molecular Medicine 288
- Surgery 246
Countries citing papers authored by Sebastian Haller
This map shows the geographic impact of Sebastian Haller'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 Sebastian Haller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Haller more than expected).
Fields of papers citing papers by Sebastian Haller
This network shows the impact of papers produced by Sebastian Haller. 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 Sebastian Haller. The network helps show where Sebastian Haller may publish in the future.
Co-authorship network of co-authors of Sebastian Haller
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Haller. A scholar is included among the top collaborators of Sebastian Haller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Haller. Sebastian Haller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 23 | |
| 13 | 21 | |
| 14 | 88 | |
| 15 | 38 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 50 | |
| 19 | 19 | |
| 20 | 21 |
About Sebastian Haller
Sebastian Haller is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Modeling and Simulation, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), COVID-19 epidemiological studies (10 papers) and Antibiotic Use and Resistance (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (219 citations), Molecular Medicine (288 citations) and Critical Care and Intensive Care Medicine (207 citations). Sebastian Haller has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Tim Eckmanns, Muna Abu Sin, Diamantis Plachouras, Thomas Harder, Dominique L. Monnet, Tanja Ducomble, C. Suetens, Edward Velasco, Alessandro Cassini and Bettina Weiß. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.