Sebastian Hoehl

2.5k citations
33 papers · 1.2k indexed · 1 hit paper · h-index 15
Topics
SARS-CoV-2 and COVID-19 Research (21 papers)SARS-CoV-2 detection and testing (15 papers)COVID-19 Clinical Research Studies (12 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaClinical Infectious Diseases
Partner nations
GermanyIreland

In The Last Decade

Sebastian Hoehl

32 papers receiving 1.2k citations

Hit Papers

Limited neutralisation of the SARS-CoV-2 Omicron subvaria...20222026202320242022255075100

Peers

Sebastian Hoehl
Comparison fields: 5 of 108
  • Infectious Diseases 975
  • Biomedical Engineering 213
  • Molecular Biology 189
  • Modeling and Simulation 174
  • Epidemiology 137
Replace Anthony Chin‐Ki Ng with:
Anthony Chin‐Ki Ng Hong Kong
Allen Wing‐Ho Chu Hong Kong
Jonathan Daniel Ip Hong Kong
Michaël Desjardins Canada
Nadhira Houhou‐Fidouh France
Jenna Schafers United Kingdom
Matthew Tate United Kingdom
Ollie Lloyd United Kingdom
Denali Boon United States
Sulien Al Khalili Oman
Sebastian Hoehl relative to Anthony Chin‐Ki Ng Hong Kong Anthony Chin‐Ki Ng's profile →
Citations per field
00.5×3.1×
Anthony Chin‐Ki Ng · 1×
Citations per year

Countries citing papers authored by Sebastian Hoehl

Since Specialization
Citations

This map shows the geographic impact of Sebastian Hoehl'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 Hoehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Hoehl more than expected).

Fields of papers citing papers by Sebastian Hoehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Hoehl. 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 Hoehl. The network helps show where Sebastian Hoehl may publish in the future.

Co-authorship network of co-authors of Sebastian Hoehl

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Hoehl. A scholar is included among the top collaborators of Sebastian Hoehl 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 Hoehl. Sebastian Hoehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 0
4 1
5 2
6 111
7 4
8 45
9 5
10 11
11 43
12 4
13 19
14 2
15 26
16 23
17 10
18 4
19 1
20 6

About Sebastian Hoehl

Sebastian Hoehl is a scholar working on Infectious Diseases, Modeling and Simulation and General Dentistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), SARS-CoV-2 detection and testing (15 papers) and COVID-19 Clinical Research Studies (12 papers). The work is most often cited by research in Infectious Diseases (975 citations), Modeling and Simulation (174 citations) and General Dentistry (20 citations). Sebastian Hoehl has collaborated with scholars based in Germany and Ireland. Frequent co-authors include Sandra Ciesek, Annemarie Berger, Holger F. Rabenau, Tuna Toptan, Niko Kohmer, Marek Widera, Timo Wolf, Denisa Bojková, Jindřich Činátl and Sandra Westhaus. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

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.

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