Julia Mayerle
Impact in
Papers in
- Co-authors
- Markus M. Lerch (153 shared papers)Frank Ulrich Weiß (54 shared papers)Matthias Sendler (39 shared papers)Ali A. Aghdassi (40 shared papers)Georg Beyer (38 shared papers)Henry Völzke (24 shared papers)Jens‐Peter Kühn (19 shared papers)Ujjwal Mukund Mahajan (34 shared papers)
- Journals
- Pancreatology (26 papers)Gut (19 papers)Gastroenterology (13 papers)Pancreas (11 papers)Digestive Diseases (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Julia Mayerle
269 papers receiving 8.7k citations
Julia Mayerle's Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 3.7k
- Surgery 4.6k
- Epidemiology 1.9k
- Hepatology 425
- Cancer Research 786
Countries citing papers authored by Julia Mayerle
This map shows the geographic impact of Julia Mayerle'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 Julia Mayerle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Mayerle more than expected).
Fields of papers citing papers by Julia Mayerle
This network shows the impact of papers produced by Julia Mayerle. 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 Julia Mayerle. The network helps show where Julia Mayerle may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Mayerle, 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 291 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pancreatic ductal adenocarcinoma: biological hallmarks, current status, and future perspectives of combined modality treatment approaches Hit paper breakdown → | 2019 | 326 |
| 2 | Chronic pancreatitis Hit paper breakdown → | 2017 | 300 |
| 3 | Chronic pancreatitis Hit paper breakdown → | 2020 | 290 |
| 4 | 2017 | 243 | |
| 5 | 2011 | 233 | |
| 6 | 2019 | 228 | |
| 7 | 2019 | 220 | |
| 8 | 2017 | 197 | |
| 9 | 2018 | 184 | |
| 10 | 2012 | 146 | |
| 11 | 2010 | 124 | |
| 12 | 2020 | 122 | |
| 13 | 2015 | 113 | |
| 14 | 2015 | 105 | |
| 15 | 2014 | 103 | |
| 16 | 2009 | 101 | |
| 17 | 2002 | 99 | |
| 18 | 2019 | 97 | |
| 19 | 2012 | 96 | |
| 20 | 2016 | 96 |
About Julia Mayerle
Julia Mayerle is a scholar working on Surgery, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 291 papers that have together received 8.8k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (128 papers), Pancreatic and Hepatic Oncology Research (118 papers), Liver Disease Diagnosis and Treatment (40 papers), Gastrointestinal disorders and treatments (38 papers), Pancreatic function and diabetes (20 papers), Cancer Genomics and Diagnostics (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers) and Pediatric Hepatobiliary Diseases and Treatments (16 papers). The work is most often cited by research in Oncology (3.7k citations), Surgery (4.6k citations), Epidemiology (1.9k citations), Hepatology (425 citations) and Cancer Research (786 citations). Julia Mayerle has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus M. Lerch, Frank Ulrich Weiß, Matthias Sendler, Ali A. Aghdassi, Georg Beyer, Henry Völzke, Jens‐Peter Kühn, Ujjwal Mukund Mahajan, Georg Homuth and Claudia Nitsche. Their work appears in journals such as Pancreatology, Gut, Gastroenterology, Pancreas and Digestive Diseases.
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.