Danilo Deichsel
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 10
- Hepatitis B Virus Studies 10
- Liver Disease Diagnosis and Treatment 3
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- Molecular Biology Techniques and Applications 2
- Protein Kinase Regulation and GTPase Signaling 1
- Co-authors
- Thomas Berg (9 shared papers)Florian van Bömmel (10 shared papers)Maria Pfefferkorn (8 shared papers)Jeanett Edelmann (3 shared papers)R. Szibor (3 shared papers)Ines Plate (3 shared papers)Stephan Böhm (4 shared papers)Sandra Hering (2 shared papers)
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)Clinical Infectious Diseases (1 paper)The Journal of Infectious Diseases (1 paper)Hepatology Communications (1 paper)
- Partner nations
- GermanyUnited KingdomCanada
In The Last Decade
Danilo Deichsel
14 papers receiving 432 citations
Peers
Comparison fields: 5 of 34
- Hepatology 174
- Epidemiology 298
- Genetics 108
- Molecular Biology 108
- Virology 5
Countries citing papers authored by Danilo Deichsel
This map shows the geographic impact of Danilo Deichsel'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 Danilo Deichsel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Deichsel more than expected).
Fields of papers citing papers by Danilo Deichsel
This network shows the impact of papers produced by Danilo Deichsel. 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 Danilo Deichsel. The network helps show where Danilo Deichsel may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Deichsel, 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 | 2002 | 75 | |
| 2 | 2018 | 72 | |
| 3 | 2017 | 69 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 43 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 23 | |
| 8 | 2003 | 23 | |
| 9 | 2005 | 22 | |
| 10 | Announcement of population data 16 X-chromosome STR loci frequency data from a German population | 2001 | 11 |
| 11 | 2019 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2015 | 1 |
About Danilo Deichsel
Danilo Deichsel is a scholar working on Epidemiology, Molecular Biology, Genetics, Hepatology and Surgery, having authored 14 papers that have together received 438 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Forensic and Genetic Research (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Molecular Biology Techniques and Applications (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Pancreatic function and diabetes (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Hepatology (174 citations), Epidemiology (298 citations), Genetics (108 citations), Molecular Biology (108 citations) and Virology (5 citations). Danilo Deichsel has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Thomas Berg, Florian van Bömmel, Maria Pfefferkorn, Jeanett Edelmann, R. Szibor, Ines Plate, Stephan Böhm, Sandra Hering, Anneke J. van Vuuren and Margo J. H. van Campenhout. Their work appears in journals such as Journal of Hepatology, Hepatology, Clinical Infectious Diseases, The Journal of Infectious Diseases and Hepatology Communications.
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.