Beat Gloor
About
Beat Gloor is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Beat Gloor has authored 155 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Surgery, 80 papers in Oncology and 30 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Beat Gloor's work include Pancreatic and Hepatic Oncology Research (65 papers), Pancreatitis Pathology and Treatment (40 papers) and Neuroendocrine Tumor Research Advances (22 papers). Beat Gloor is often cited by papers focused on Pancreatic and Hepatic Oncology Research (65 papers), Pancreatitis Pathology and Treatment (40 papers) and Neuroendocrine Tumor Research Advances (22 papers). Beat Gloor collaborates with scholars based in Switzerland, United States and Germany. Beat Gloor's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
In The Last Decade
Beat Gloor
147 papers receiving 5.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Beat Gloor Switzerland | 38 | 3.0k | 2.7k | 1.1k | 984 | 520 | 155 | 5.1k | ||
| Georgios C. Sotiropoulos Germany | 38 | 2.8k 0.9× | 1.5k 0.6× | 1.4k 1.4× | 1.2k 1.2× | 621 1.2× | 221 | 5.4k | ||
| Dietmar Öfner Austria | 37 | 1.9k 0.6× | 1.6k 0.6× | 720 0.7× | 1.3k 1.3× | 1.1k 2.0× | 262 | 5.1k | ||
| Brett C. Sheppard United States | 37 | 2.8k 0.9× | 1.4k 0.5× | 623 0.6× | 1.1k 1.1× | 593 1.1× | 186 | 5.1k | ||
| Brian K. P. Goh Singapore | 50 | 4.1k 1.4× | 3.4k 1.3× | 1.5k 1.4× | 2.4k 2.5× | 705 1.4× | 310 | 7.5k | ||
| Jae Bock Chung South Korea | 37 | 3.2k 1.1× | 2.1k 0.8× | 1.3k 1.3× | 2.0k 2.0× | 354 0.7× | 275 | 5.9k | ||
| Bruno M. Schmied Germany | 37 | 2.9k 1.0× | 2.4k 0.9× | 510 0.5× | 1.2k 1.2× | 625 1.2× | 168 | 4.8k | ||
| George H. Sakorafas Greece | 38 | 2.9k 0.9× | 1.8k 0.7× | 548 0.5× | 963 1.0× | 286 0.6× | 155 | 4.5k | ||
| John K. Boitnott United States | 36 | 2.0k 0.7× | 1.3k 0.5× | 1.7k 1.6× | 1.1k 1.1× | 326 0.6× | 66 | 5.0k | ||
| P. Pederzoli Italy | 32 | 2.9k 0.9× | 3.5k 1.3× | 1.6k 1.5× | 972 1.0× | 178 0.3× | 90 | 4.5k | ||
| Simon R. Bramhall United Kingdom | 36 | 2.7k 0.9× | 2.7k 1.0× | 883 0.8× | 1.3k 1.3× | 724 1.4× | 126 | 5.1k |
Countries citing papers authored by Beat Gloor
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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-authorship network of co-authors of Beat Gloor
This figure shows the co-authorship network connecting the top 25 collaborators of Beat Gloor. A scholar is included among the top collaborators of Beat Gloor 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 Beat Gloor. Beat Gloor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Karamitopoulou, Eva, Anna S. Wenning, Animesh Acharjee, et al.. (2024). Spatial Heterogeneity of Immune Regulators Drives Dynamic Changes in Local Immune Responses, Affecting Disease Outcomes in Pancreatic Cancer. Clinical Cancer Research. 30(18). 4215–4226.
2.
Herzig, David, Luca Cecchini, Christos T. Nakas, et al.. (2022). Perioperative Fully Closed-Loop Insulin Delivery in Patients Undergoing Elective Surgery: An Open-Label, Randomized Controlled Trial. Diabetes Care. 45(9). 2076–2083.
3.
Wilinska, Malgorzata E., Patrick Y. Wuethrich, David Herzig, et al.. (2022). Fully Closed-Loop Insulin Delivery in Patients Undergoing Pancreatic Surgery. Diabetes Technology & Therapeutics. 25(3). 206–211.
4.
Gloor, Beat, et al.. (2021). Challenges of students and residents of human medicine in the first four months of the fight against the Covid-19 pandemic – Implications for future waves and scenarios. BMC Medical Education. 21(1). 554–554.
5.
Warschkow, René, Catherine Tsai, Bruno M. Schmied, et al.. (2020). Role of lymphadenectomy, adjuvant chemotherapy, and treatment at high-volume centers in patients with resected pancreatic cancer—a distinct view on lymph node yield. Langenbeck s Archives of Surgery. 405(1). 43–54.
6.
Macpherson, Andrew J., et al.. (2018). EUS-guided pancreaticogastrostomy and transgastric per-oral pancreatoscopy with electrohydraulic lithotripsy in a patient with chronic hereditary pancreatitis and several intraductal stones. VideoGIE. 3(8). 238–240.
7.
Wartenberg, Martin, Inti Zlobec, Erik Vassella, et al.. (2018). Integrated Genomic and Immunophenotypic Classification of Pancreatic Cancer Reveals Three Distinct Subtypes with Prognostic/Predictive Significance. Clinical Cancer Research. 24(18). 4444–4454.
8.
Antwi, Kwadwo, Melpomeni Fani, Tobias Heye, et al.. (2018). Comparison of glucagon-like peptide-1 receptor (GLP-1R) PET/CT, SPECT/CT and 3T MRI for the localisation of occult insulinomas: evaluation of diagnostic accuracy in a prospective crossover imaging study. European Journal of Nuclear Medicine and Molecular Imaging. 45(13). 2318–2327.
9.
Warschkow, René, Kenneth Leung, Bruno M. Schmied, et al.. (2017). Selective survival advantage associated with primary tumor resection for metastatic gastric cancer in a Western population. Gastric Cancer. 21(2). 324–337.
10.
Christ, Emanuel, Damian Wild, Martin Béhé, et al.. (2013). Glucagon-like peptide-1 receptor imaging for the localisation of insulinomas: a prospective multicentre imaging study. The Lancet Diabetes & Endocrinology. 1(2). 115–122.
11.
Shah, Anand, K. Chao, Truls Østbye, et al.. (2013). Trends in Racial Disparities in Pancreatic Cancer Surgery. Journal of Gastrointestinal Surgery. 17(11). 1897–1906.
12.
Worni, Mathias, et al.. (2012). Is radiation without surgery the adequate therapy for potentially resectable esophageal squamous cell carcinoma? An analysis using the Surveillance Epidemiology, and End Results registry from 1998 to 2008. Bern Open Repository and Information System (University of Bern).
13.
Christ, Emanuel, Flavio Forrer, Damian Wild, et al.. (2012). Glucagon-like peptide 1 receptor (GLP-1R) imaging for the preoperative localization of benign insulinomas in 30 patients. 15th International & 14th European Congress of Endocrinology. 29.
14.
Angst, Eliane, Corina Kim-Fuchs, Daniel Inderbitzin, et al.. (2012). How to Counter the Problem of R1 Resection in Duodenopancreatectomy for Pancreatic Cancer?. Journal of Gastrointestinal Surgery. 16(3). 673–673.
15.
Kim‐Fuchs, Corina, et al.. (2011). Management of splenic artery aneurysms. Bern Open Repository and Information System (University of Bern).
16.
Pirnia, Farzaneh, Michael Pawlak, Gerhard Thallinger, et al.. (2009). Novel functional profiling approach combining reverse phase protein microarrays and human 3‐D ex vivo tissue cultures: Expression of apoptosis‐related proteins in human colon cancer. PROTEOMICS. 9(13). 3535–3548.
17.
Blättler, W., Georg Heller, J Largiadèr, et al.. (2004). Combined regional thrombolysis and surgical thrombectomy for treatment of iliofemoral vein thrombosis. Journal of Vascular Surgery. 40(4). 620–625.
18.
Inderbitzin, Daniel, Markus Gass, Guido Beldi, et al.. (2004). Magnetic resonance imaging provides accurate and precise volume determination of the regenerating mouse liver. Journal of Gastrointestinal Surgery. 8(7). 806–811.
19.
Gloor, Beat, Karen E. Todd, John S. Lane, Michael Lewis, & Howard A. Reber. (1998). Hepatic Kupffer cell blockade reduces mortality of acute hemorrhagic pancreatitis in mice. Journal of Gastrointestinal Surgery. 2(5). 430–435.
20.
Lane, John S., Karen E. Todd, Michael Lewis, et al.. (1997). Interleukin-10 reduces the systemic inflammatory response in a murine model of intestinal ischemia/reperfusion. Surgery. 122(2). 288–294.
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.
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