Anke Liepelt
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Liver physiology and pathology 4
-
- Drug-Induced Hepatotoxicity and Protection 3
- Co-authors
- Frank Tacke (12 shared papers)Christian Trautwein (7 shared papers)Jana C. Mossanen (8 shared papers)Tom Luedde (6 shared papers)Oliver Krenkel (6 shared papers)Olivier Govaere (3 shared papers)Tobias Puengel (2 shared papers)Marlene Sophia Kohlhepp (5 shared papers)
- Journals
- Hepatology (3 papers)Scientific Reports (1 paper)Gastroenterology (1 paper)Journal of Clinical Medicine (1 paper)Hepatology Communications (1 paper)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Anke Liepelt
14 papers receiving 1.3k citations
Anke Liepelt's Hit Papers
Peers
Comparison fields: 5 of 72
- Hepatology 446
- Pharmacology 116
- Epidemiology 326
- Immunology 176
- Oncology 133
Countries citing papers authored by Anke Liepelt
This map shows the geographic impact of Anke Liepelt'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 Anke Liepelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Liepelt more than expected).
Fields of papers citing papers by Anke Liepelt
This network shows the impact of papers produced by Anke Liepelt. 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 Anke Liepelt. The network helps show where Anke Liepelt may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Liepelt, 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 | Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis Hit paper breakdown → | 2017 | 470 |
| 2 | Chemokine (C‐C motif) receptor 2–positive monocytes aggravate the early phase of acetaminophen‐induced acute liver injury Hit paper breakdown → | 2016 | 287 |
| 3 | 2019 | 100 | |
| 4 | 2018 | 94 | |
| 5 | 2016 | 88 | |
| 6 | 2016 | 74 | |
| 7 | 2015 | 41 | |
| 8 | 2019 | 30 | |
| 9 | 2014 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 16 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 4 |
About Anke Liepelt
Anke Liepelt is a scholar working on Hepatology, Pharmacology, Immunology, Oncology and Epidemiology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Chemokine receptors and signaling (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), RNA Research and Splicing (2 papers), Immune Response and Inflammation (2 papers), Inflammation biomarkers and pathways (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (446 citations), Pharmacology (116 citations), Epidemiology (326 citations), Immunology (176 citations) and Oncology (133 citations). Anke Liepelt has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Frank Tacke, Christian Trautwein, Jana C. Mossanen, Tom Luedde, Oliver Krenkel, Olivier Govaere, Tobias Puengel, Marlene Sophia Kohlhepp, Gernot Marx and Felix Heymann. Their work appears in journals such as Hepatology, Scientific Reports, Gastroenterology, Journal of Clinical Medicine 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.