Beat Gloor
Impact in
Papers in
- Co-authors
- Waldemar Uhl (14 shared papers)Markus W. Büchler (14 shared papers)Christophe Müller (8 shared papers)Mathias Worni (31 shared papers)Daniel Candinas (30 shared papers)Howard A. Reber (14 shared papers)Helmut Friess (2 shared papers)Christian Seiler (1 shared paper)
- Journals
- Journal of Gastrointestinal Surgery (11 papers)Digestive Surgery (8 papers)Pancreas (7 papers)Surgery (5 papers)British journal of surgery (5 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Beat Gloor
153 papers receiving 5.2k citations
Beat Gloor's Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 2.0k
- Surgery 2.6k
- Epidemiology 850
- Neurology 366
- Hepatology 158
Countries citing papers authored by Beat Gloor
This map shows the geographic impact of Beat Gloor'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 Beat Gloor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat Gloor more than expected).
Fields of papers citing papers by Beat Gloor
This network shows the impact of papers produced by Beat Gloor. 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 Beat Gloor. The network helps show where Beat Gloor may publish in the future.
Co-authors
The 25 scholars most cited alongside Beat Gloor, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Acute Necrotizing Pancreatitis: Treatment Strategy According to the Status of Infection Hit paper breakdown → | 2000 | 588 |
| 2 | 2001 | 269 | |
| 3 | 2009 | 234 | |
| 4 | 2009 | 212 | |
| 5 | 2001 | 149 | |
| 6 | 2018 | 145 | |
| 7 | 2005 | 145 | |
| 8 | 2013 | 143 | |
| 9 | 2001 | 135 | |
| 10 | 2001 | 127 | |
| 11 | 2012 | 124 | |
| 12 | 1997 | 104 | |
| 13 | 2015 | 100 | |
| 14 | 2018 | 99 | |
| 15 | 2000 | 83 | |
| 16 | 1998 | 75 | |
| 17 | 2005 | 73 | |
| 18 | 2010 | 69 | |
| 19 | 2013 | 65 | |
| 20 | 2012 | 64 |
About Beat Gloor
Beat Gloor is a scholar working on Surgery, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (46 papers), Pancreatitis Pathology and Treatment (33 papers), Neuroendocrine Tumor Research Advances (20 papers), Cancer Immunotherapy and Biomarkers (10 papers), Gastrointestinal disorders and treatments (8 papers), Esophageal Cancer Research and Treatment (6 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Oncology (2.0k citations), Surgery (2.6k citations), Epidemiology (850 citations), Neurology (366 citations) and Hepatology (158 citations). Beat Gloor has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Waldemar Uhl, Markus W. Büchler, Christophe Müller, Mathias Worni, Daniel Candinas, Howard A. Reber, Helmut Friess, Christian Seiler, Karen E. Todd and John S. Lane. Their work appears in journals such as Journal of Gastrointestinal Surgery, Digestive Surgery, Pancreas, Surgery and British journal of surgery.
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.