Maja Thiele
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Pathology and Forensic Medicine top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Aleksander KragLaurent CastéraAnnalisa BerzigottiEmmanuel TsochatzisJérôme BoursierMireen Friedrich‐RustNora CazzagonSalvatore Petta
- Topics
- Liver Disease Diagnosis and Treatment (96 papers)Liver Disease and Transplantation (51 papers)Alcohol Consumption and Health Effects (43 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Maja Thiele
107 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Epidemiology 3.8k
- Hepatology 2.6k
- Pathology and Forensic Medicine 909
- Surgery 709
- Endocrinology, Diabetes and Metabolism 678
Countries citing papers authored by Maja Thiele
This map shows the geographic impact of Maja Thiele'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 Maja Thiele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Thiele more than expected).
Fields of papers citing papers by Maja Thiele
This network shows the impact of papers produced by Maja Thiele. 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 Maja Thiele. The network helps show where Maja Thiele may publish in the future.
Co-authorship network of co-authors of Maja Thiele
This figure shows the co-authorship network connecting the top 25 collaborators of Maja Thiele. A scholar is included among the top collaborators of Maja Thiele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Thiele. Maja Thiele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 20 | |
| 7 | 35 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 8 | |
| 13 | AASLD Practice Guidance on risk stratification and management of portal hypertension and varices in cirrhosisbreakdown → | 126 |
| 14 | 14 | |
| 15 | Noninvasive proteomic biomarkers for alcohol-related liver diseasebreakdown → | 154 |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 28 | |
| 19 | 178 | |
| 20 | 4 |
About Maja Thiele
Maja Thiele is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 119 papers that have together received 4.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (96 papers), Liver Disease and Transplantation (51 papers) and Alcohol Consumption and Health Effects (43 papers). The work is most often cited by research in Hepatology (2.6k citations), Epidemiology (3.8k citations) and Pathology and Forensic Medicine (909 citations). Maja Thiele has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Aleksander Krag, Laurent Castéra, Annalisa Berzigotti, Emmanuel Tsochatzis, Jérôme Boursier, Mireen Friedrich‐Rust, Nora Cazzagon, Salvatore Petta, Bjørn Stæhr Madsen and Sönke Detlefsen. Their work appears in journals such as Nature Medicine, Nature Genetics and Gastroenterology.
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.