Maximilian Jara
- Epidemiology top 5%
- Hepatology top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Martin StockmannMaciej MalinowskiJohann PratschkeJohan Friso LockMette Skalshøi KjærJan BednarschRohit LoombaNiels Krarup
- Topics
- Liver Disease Diagnosis and Treatment (23 papers)Liver Disease and Transplantation (21 papers)Organ Transplantation Techniques and Outcomes (14 papers)
- Journals
- Journal of HepatologyTransplantationAmerican Journal of Physiology-Gastrointestinal and Liver Physiology
- Partner nations
- GermanyUnited KingdomDenmark
In The Last Decade
Maximilian Jara
47 papers receiving 990 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Epidemiology 541
- Hepatology 448
- Surgery 385
- Endocrinology, Diabetes and Metabolism 217
- Pulmonary and Respiratory Medicine 99
Countries citing papers authored by Maximilian Jara
This map shows the geographic impact of Maximilian Jara'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 Maximilian Jara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Jara more than expected).
Fields of papers citing papers by Maximilian Jara
This network shows the impact of papers produced by Maximilian Jara. 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 Maximilian Jara. The network helps show where Maximilian Jara may publish in the future.
Co-authorship network of co-authors of Maximilian Jara
This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Jara. A scholar is included among the top collaborators of Maximilian Jara 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 Maximilian Jara. Maximilian Jara 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 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 25 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 52 | |
| 18 | 26 | |
| 19 | 7 | |
| 20 | 36 |
About Maximilian Jara
Maximilian Jara is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Liver Disease and Transplantation (21 papers) and Organ Transplantation Techniques and Outcomes (14 papers). The work is most often cited by research in Hepatology (448 citations), Transplantation (77 citations) and Epidemiology (541 citations). Maximilian Jara has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Martin Stockmann, Maciej Malinowski, Johann Pratschke, Johan Friso Lock, Mette Skalshøi Kjær, Jan Bednarsch, Rohit Loomba, Niels Krarup, Eric Lawitz and Philip N. Newsome. Their work appears in journals such as Journal of Hepatology, Transplantation and American Journal of Physiology-Gastrointestinal and Liver Physiology.
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.