Daniel Koch
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Modeling and Simulation top 5%
Papers in
- Epidemiology 22
- Chronic Disease Management Strategies 5
- Sepsis Diagnosis and Treatment 5
- Bone fractures and treatments 4
- Co-authors
- Beat Müeller (26 shared papers)Philipp Schüetz (26 shared papers)Alexander Kutz (22 shared papers)Sebastian Haubitz (16 shared papers)Mark Witschi (3 shared papers)Luca Bernasconi (8 shared papers)Ivar Friedrich (1 shared paper)Claudius Diez (1 shared paper)
- Journals
- Swiss Medical Weekly (3 papers)Eurosurveillance (2 papers)Nutrients (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)Veterinary and Comparative Orthopaedics and Traumatology (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Koch
53 papers receiving 842 citations
Peers
Comparison fields: 5 of 133
- Geriatrics and Gerontology 84
- Modeling and Simulation 48
- Infectious Diseases 168
- Equine 14
- Small Animals 51
Countries citing papers authored by Daniel Koch
This map shows the geographic impact of Daniel Koch'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 Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Koch more than expected).
Fields of papers citing papers by Daniel Koch
This network shows the impact of papers produced by Daniel Koch. 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 Koch. The network helps show where Daniel Koch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Koch, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 132 | |
| 2 | 2018 | 104 | |
| 3 | 2007 | 102 | |
| 4 | 2019 | 71 | |
| 5 | 2010 | 44 | |
| 6 | 2020 | 40 | |
| 7 | 2008 | 34 | |
| 8 | 2018 | 30 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2017 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2009 | 13 | |
| 17 | 2005 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 9 |
About Daniel Koch
Daniel Koch is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Small Animals and Emergency Medicine, having authored 61 papers that have together received 877 indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (9 papers), Emergency and Acute Care Studies (7 papers), Heart Failure Treatment and Management (5 papers), Frailty in Older Adults (5 papers), Chronic Disease Management Strategies (5 papers), Sepsis Diagnosis and Treatment (5 papers), Bone fractures and treatments (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Geriatrics and Gerontology (84 citations), Modeling and Simulation (48 citations), Infectious Diseases (168 citations), Equine (14 citations) and Small Animals (51 citations). Daniel Koch has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Beat Müeller, Philipp Schüetz, Alexander Kutz, Sebastian Haubitz, Mark Witschi, Luca Bernasconi, Ivar Friedrich, Claudius Diez, Rolf‐Edgar Silber and Caroline Tapparel. Their work appears in journals such as Swiss Medical Weekly, Eurosurveillance, Nutrients, Clinical Chemistry and Laboratory Medicine (CCLM) and Veterinary and Comparative Orthopaedics and Traumatology.
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.