Daniel Sagebiel
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 12
- Epidemiology 21
- Mycobacterium research and diagnosis 7
- Virology and Viral Diseases 5
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Co-authors
- R. LoddenkemperAlfred BrendelDirk WerberJulia BitzegeioSabine SantibanezKlaus StarkKai MichaelisJürgen J. Wenzel
- Journals
- Eurosurveillance (6 papers)Travel Medicine and Infectious Disease (1 paper)Parasitology Research (1 paper)International Journal of Infectious Diseases (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Daniel Sagebiel
29 papers receiving 597 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 324
- Hepatology 90
- Health 92
- Epidemiology 311
- Modeling and Simulation 30
Countries citing papers authored by Daniel Sagebiel
This map shows the geographic impact of Daniel Sagebiel'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 Sagebiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sagebiel more than expected).
Fields of papers citing papers by Daniel Sagebiel
This network shows the impact of papers produced by Daniel Sagebiel. 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 Sagebiel. The network helps show where Daniel Sagebiel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Sagebiel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 13 | |
| 3 | 2020 | 16 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 33 | |
| 8 | 2015 | 9 | |
| 9 | 2009 | 33 | |
| 10 | 2007 | 64 | |
| 11 | 2006 | 9 | |
| 12 | Methicillin- resistant Staphylococcus aureus in Cat and Owner | 2006 | 3 |
| 13 | 2005 | 5 | |
| 14 | 2005 | 5 | |
| 15 | 2005 | 2 | |
| 16 | 2004 | 8 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 2 | |
| 19 | 2002 | 95 | |
| 20 | 1999 | 3 |
About Daniel Sagebiel
Daniel Sagebiel is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Health and Immunology, having authored 29 papers that have together received 623 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (7 papers), Virology and Viral Diseases (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Diagnosis and treatment of tuberculosis (4 papers), Infectious Diseases and Tuberculosis (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (324 citations), Hepatology (90 citations), Health (92 citations), Epidemiology (311 citations) and Modeling and Simulation (30 citations). Daniel Sagebiel has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include R. Loddenkemper, Alfred Brendel, Dirk Werber, Julia Bitzegeio, Sabine Santibanez, Klaus Stark, Kai Michaelis, Jürgen J. Wenzel, Mirko Faber and Dagmar Sissolak. Their work appears in journals such as Eurosurveillance, Travel Medicine and Infectious Disease, Parasitology Research, International Journal of Infectious Diseases and European Respiratory 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.