Mathias Jachs
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 51
- Liver Disease and Transplantation 42
- Hepatitis C virus research 12
- Hepatitis Viruses Studies and Epidemiology 5
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Epidemiology 33
- Liver Disease Diagnosis and Treatment 26
- Hepatitis B Virus Studies 8
- Co-authors
- Thomas Reiberger (78 shared papers)Mattias Mandorfer (72 shared papers)Michael Trauner (61 shared papers)Lukas Hartl (66 shared papers)Benedikt Simbrunner (49 shared papers)David Bauer (45 shared papers)Bernhard Scheiner (36 shared papers)Rafael Paternostro (23 shared papers)
In The Last Decade
Mathias Jachs
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 61
- Hepatology 631
- Epidemiology 493
- Pharmacology 50
- Surgery 140
- Pathology and Forensic Medicine 56
Countries citing papers authored by Mathias Jachs
This map shows the geographic impact of Mathias Jachs'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 Mathias Jachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Jachs more than expected).
Fields of papers citing papers by Mathias Jachs
This network shows the impact of papers produced by Mathias Jachs. 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 Mathias Jachs. The network helps show where Mathias Jachs may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Jachs, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2022 | 72 | |
| 3 | 2020 | 62 | |
| 4 | 2023 | 49 | |
| 5 | 2022 | 47 | |
| 6 | 2023 | 46 | |
| 7 | 2022 | 45 | |
| 8 | 2022 | 43 | |
| 9 | 2019 | 38 | |
| 10 | 2021 | 37 | |
| 11 | 2020 | 36 | |
| 12 | 2022 | 26 | |
| 13 | 2022 | 24 | |
| 14 | 2024 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2023 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2023 | 18 |
About Mathias Jachs
Mathias Jachs is a scholar working on Hepatology, Epidemiology, Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (42 papers), Liver Disease Diagnosis and Treatment (26 papers), Hepatitis C virus research (12 papers), Hepatitis B Virus Studies (8 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Hepatology (631 citations), Epidemiology (493 citations), Pharmacology (50 citations), Surgery (140 citations) and Pathology and Forensic Medicine (56 citations). Mathias Jachs has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Thomas Reiberger, Mattias Mandorfer, Michael Trauner, Lukas Hartl, Benedikt Simbrunner, David Bauer, Bernhard Scheiner, Rafael Paternostro, Georg Semmler and Albert Friedrich Stättermayer. Their work appears in journals such as Journal of Hepatology, JHEP Reports, Alimentary Pharmacology & Therapeutics, Liver International and Clinical Gastroenterology and Hepatology.
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.