Danilo Deichsel
- Hepatology top 5%
- Hepatitis C virus research 10
- Epidemiology top 10%
- Hepatitis B Virus Studies 10
- Liver Disease Diagnosis and Treatment 10
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- Forensic and Genetic Research 3
- Genetic diversity and population structure 1
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- Molecular Biology Techniques and Applications 2
- Protein Kinase Regulation and GTPase Signaling 1
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- Forensic Anthropology and Bioarchaeology Studies 1
- Co-authors
- Thomas BergFlorian van BömmelMaria PfefferkornInes PlateR. SziborJeanett EdelmannStephan BöhmSandra Hering
- Cited by
- HepatologyEpidemiologyGenetics
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Danilo Deichsel
13 papers receiving 422 citations
Peers
Comparison fields: 5 of 37
- Hepatology 286
- Epidemiology 295
- Genetics 103
- Molecular Biology 105
- 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-authorship network
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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 4 | |
| 7 | 2018 | 71 | |
| 8 | 2018 | 53 | |
| 9 | 2017 | 67 | |
| 10 | 2015 | 1 | |
| 11 | 2005 | 19 | |
| 12 | 2003 | 22 | |
| 13 | 2002 | 72 | |
| 14 | Announcement of population data 16 X-chromosome STR loci frequency data from a German population | 2001 | 11 |
About Danilo Deichsel
Danilo Deichsel is a scholar working on Hepatology, Epidemiology, Genetics, Archeology and Molecular Biology, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Forensic and Genetic Research (3 papers), Molecular Biology Techniques and Applications (2 papers), Genetic diversity and population structure (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Hepatology (286 citations), Epidemiology (295 citations), Genetics (103 citations), Molecular Biology (105 citations) and Virology (5 citations). Danilo Deichsel has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Thomas Berg, Florian van Bömmel, Maria Pfefferkorn, Ines Plate, R. Szibor, Jeanett Edelmann, Stephan Böhm, Sandra Hering, Harry L.A. Janssen and Bettina E. Hansen. Their work appears in journals such as Journal of Hepatology, Hepatology, Clinical Infectious Diseases, Hepatology Communications and Gut.
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.