Daniel Jahn
Impact in
- Hepatology top 10%
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Liver Diseases and Immunity 4
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 11
- Co-authors
- Andreas Geier (20 shared papers)Heike M. Hermanns (8 shared papers)Stefan Kircher (3 shared papers)Manfred Alsheimer (7 shared papers)Ricardo Benavente (5 shared papers)Monika Rau (4 shared papers)Sabine Schramm (4 shared papers)Alexander G. Haslberger (1 shared paper)
- Journals
- Nucleus (4 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Hepatology (2 papers)PLoS ONE (2 papers)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Daniel Jahn
29 papers receiving 899 citations
Peers
Comparison fields: 5 of 81
- Hepatology 80
- Epidemiology 292
- Endocrinology, Diabetes and Metabolism 125
- Molecular Biology 427
- Physiology 132
Countries citing papers authored by Daniel Jahn
This map shows the geographic impact of Daniel Jahn'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 Jahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jahn more than expected).
Fields of papers citing papers by Daniel Jahn
This network shows the impact of papers produced by Daniel Jahn. 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 Jahn. The network helps show where Daniel Jahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jahn, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 2014 | 117 | |
| 3 | 2012 | 76 | |
| 4 | 2015 | 57 | |
| 5 | 2018 | 47 | |
| 6 | 2013 | 46 | |
| 7 | 2017 | 42 | |
| 8 | 2019 | 38 | |
| 9 | 2019 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2014 | 28 | |
| 12 | 2010 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2010 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 21 | |
| 18 | 2021 | 18 | |
| 19 | 2015 | 12 | |
| 20 | 2017 | 12 |
About Daniel Jahn
Daniel Jahn is a scholar working on Hepatology, Epidemiology, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 910 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Nuclear Structure and Function (7 papers), RNA Research and Splicing (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Fibroblast Growth Factor Research (4 papers), Genomics and Chromatin Dynamics (4 papers), Liver Diseases and Immunity (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Hepatology (80 citations), Epidemiology (292 citations), Endocrinology, Diabetes and Metabolism (125 citations), Molecular Biology (427 citations) and Physiology (132 citations). Daniel Jahn has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Andreas Geier, Heike M. Hermanns, Stefan Kircher, Manfred Alsheimer, Ricardo Benavente, Monika Rau, Sabine Schramm, Alexander G. Haslberger, Helmut Brath and Berit Hippe. Their work appears in journals such as Nucleus, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Hepatology, PLoS ONE and Toxicology and Applied Pharmacology.
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.