Anke Liebert
Impact in
- Genetics top 5%
- Digestive system and related health
- Nutrition, Genetics, and Disease
- Forensic and Genetic Research
- Paleontology top 5%
- Archaeology and ancient environmental studies
Papers in
- Genetics 13
- Digestive system and related health 13
- Nutrition, Genetics, and Disease 6
-
- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Dallas M. Swallow (9 shared papers)Mark Thomas (4 shared papers)Pascale Gerbault (2 shared papers)Yuval Itan (2 shared papers)Mathias Currat (1 shared paper)Adam Powell (1 shared paper)Joachim Bürger (1 shared paper)Bryony Leigh Jones (4 shared papers)
- Journals
- Human Genetics (3 papers)Annals of Human Genetics (3 papers)Scientific Reports (2 papers)Gut (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United KingdomDenmarkGermany
In The Last Decade
Anke Liebert
19 papers receiving 1.4k citations
Anke Liebert's Hit Papers
Peers
Comparison fields: 5 of 143
- Genetics 545
- Paleontology 124
- Biological Psychiatry 24
- Archeology 10
- Archeology 98
Countries citing papers authored by Anke Liebert
This map shows the geographic impact of Anke Liebert'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 Liebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Liebert more than expected).
Fields of papers citing papers by Anke Liebert
This network shows the impact of papers produced by Anke Liebert. 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 Liebert. The network helps show where Anke Liebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Liebert, 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 | Microbiota derived short chain fatty acids promote histone crotonylation in the colon through histone deacetylases Hit paper breakdown → | 2018 | 456 |
| 2 | 2011 | 308 | |
| 3 | 2014 | 177 | |
| 4 | 2017 | 133 | |
| 5 | 2013 | 72 | |
| 6 | 2017 | 68 | |
| 7 | 2011 | 63 | |
| 8 | 2011 | 41 | |
| 9 | 2016 | 28 | |
| 10 | 2015 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2016 | 17 | |
| 13 | 2019 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2025 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2014 | 1 |
About Anke Liebert
Anke Liebert is a scholar working on Genetics, Biochemistry, Oncology, Infectious Diseases and General Health Professions, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digestive system and related health (13 papers), Nutrition, Genetics, and Disease (6 papers), Cancer Cells and Metastasis (3 papers), Indigenous Studies and Ecology (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Genetic factors in colorectal cancer (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Archaeology and ancient environmental studies (1 paper). The work is most often cited by research in Genetics (545 citations), Paleontology (124 citations), Biological Psychiatry (24 citations), Archeology (10 citations) and Archeology (98 citations). Anke Liebert has collaborated with scholars based in United Kingdom, Denmark and Germany. Frequent co-authors include Dallas M. Swallow, Mark Thomas, Pascale Gerbault, Yuval Itan, Mathias Currat, Adam Powell, Joachim Bürger, Bryony Leigh Jones, Jesper Thorvald Troelsen and Neil Bradman. Their work appears in journals such as Human Genetics, Annals of Human Genetics, Scientific Reports, Gut and Cell Host & Microbe.
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.