Daniel Hornuß

842 citations
24 papers · 359 · h-index 9

Impact in

    • Olfactory and Sensory Function Studies
    • Clostridium difficile and Clostridium perfringens research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Liver Disease Diagnosis and Treatment 3
    • Infective Endocarditis Diagnosis and Management 2
    • COVID-19 Clinical Research Studies 2

Daniel Hornuß

20 papers receiving 353 citations

Peers

Daniel Hornuß
Comparison fields: 5 of 71
  • Sensory Systems 69
  • Infectious Diseases 152
  • Neurology 75
  • Dermatology 34
  • Virology 17
Replace Andrea Mastrángelo with:
Andrea Mastrángelo Italy
Hong‐Yi Zheng China
Katleen Martens Belgium
Leyla Telhan Türkiye
Qiru Zeng China
E. Cancio Spain
Xuefen Wu China
Mariléia Cháves Andrade Brazil
Robert Sambursky United States
Daniel Hornuß relative to Andrea Mastrángelo Italy Andrea Mastrángelo's profile →
Citations per field
00.5×6.8×
Andrea Mastrángelo · 1×
Citations per year

Countries citing papers authored by Daniel Hornuß

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hornuß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Hornuß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Hornuß Line = papers co-authored together Daniel Hornuß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 201239
3 201338
4 201636
5 202217
6 202317
7 202015
8 201715
9 202012
10 20218
11 20226
12 20196
13 20236
14 20195
15 20214
16 20242
17 20242
18 20212
19 20221
20 20171

About Daniel Hornuß

Daniel Hornuß is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Hepatology, having authored 24 papers that have together received 359 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers), Liver Disease and Transplantation (3 papers), Long-Term Effects of COVID-19 (2 papers), Surgical site infection prevention (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Sensory Systems (69 citations), Infectious Diseases (152 citations), Neurology (75 citations), Dermatology (34 citations) and Virology (17 citations). Daniel Hornuß has collaborated with scholars based in Germany, Italy and Australia. Frequent co-authors include Siegbert Rieg, Dirk Wagner, Winfried V. Kern, Nils Schröter, Berit Lange, Wolfgang Stremmel, Klaus Aktories, Panagiotis Papatheodorou, Carsten Schwan and Gregor Guttenberg. Their work appears in journals such as Infection, Clinical Microbiology and Infection, BMJ Open, Acta Neurochirurgica and Infection and Immunity.

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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