Megan Engels

448 total citations
9 papers, 125 citations indexed

About

Megan Engels is a scholar working on Oncology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Megan Engels has authored 9 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Megan Engels's work include Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Megan Engels is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Megan Engels collaborates with scholars based in Netherlands, United States and Italy. Megan Engels's co-authors include Jeanin E. van Hooft, Michael B. Wallace, Benjamin S. Glicksberg, Kipp W. Johnson, Chayakrit Krittanawong, Paul T. Kröner, Hashem B. El‐Serag, Candice W. Bolan, Paul Fockens and Joost P.H. Drenth and has published in prestigious journals such as Gastroenterology, World Journal of Gastroenterology and Gastrointestinal Endoscopy.

In The Last Decade

Megan Engels

7 papers receiving 120 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Megan Engels Netherlands 4 62 42 41 37 21 9 125
Mingwen Guo China 5 76 1.2× 40 1.0× 66 1.6× 82 2.2× 4 0.2× 8 144
Sumant Inamdar United States 6 87 1.4× 34 0.8× 48 1.2× 45 1.2× 7 0.3× 16 125
Rawen Kader United Kingdom 9 108 1.7× 91 2.2× 67 1.6× 82 2.2× 47 2.2× 35 247
Haoda Chen China 9 156 2.5× 66 1.6× 104 2.5× 77 2.1× 17 0.8× 35 227
Yusaku Shimamoto Japan 9 48 0.8× 35 0.8× 114 2.8× 135 3.6× 8 0.4× 20 185
Andrea Fares Bucci Italy 3 40 0.6× 25 0.6× 34 0.8× 27 0.7× 38 1.8× 3 106
Mahsa Taghiakbari Canada 9 193 3.1× 42 1.0× 44 1.1× 165 4.5× 6 0.3× 39 254
Shunsuke Kamba Japan 7 138 2.2× 73 1.7× 79 1.9× 119 3.2× 9 0.4× 27 222
Sebastian Manuel Milluzzo Italy 5 52 0.8× 20 0.5× 38 0.9× 42 1.1× 3 0.1× 16 85
Ejaz Hossain United Kingdom 6 52 0.8× 27 0.6× 39 1.0× 74 2.0× 4 0.2× 19 113

Countries citing papers authored by Megan Engels

Since Specialization
Citations

This map shows the geographic impact of Megan Engels'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 Megan Engels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Engels more than expected).

Fields of papers citing papers by Megan Engels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan Engels. 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 Megan Engels. The network helps show where Megan Engels may publish in the future.

Co-authorship network of co-authors of Megan Engels

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Engels. A scholar is included among the top collaborators of Megan Engels 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 Megan Engels. Megan Engels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Weiland, Christina J. Sperna, Megan Engels, Joost P.H. Drenth, et al.. (2025). Endoscopic retrograde cholangiopancreatography discharge tool combined with rapid trypsinogen-2 test to predict same-day discharge: a prospective cohort study. European Journal of Gastroenterology & Hepatology. 37(11). 1206–1212.
2.
Ahmad, Omer F., Jeroen de Groof, Megan Engels, et al.. (2024). ENDOSCOPIST SENTIMENTS ON ARTIFICIAL INTELLIGENCE IN ENDOSCOPY: A LARGE-SCALE INTERCONTINENTAL OPINION SURVEY. Gastrointestinal Endoscopy. 99(6). AB17–AB17. 1 indexed citations
3.
Klatte, Derk C.F., Alexander D. Weston, Candice W. Bolan, et al.. (2024). Temporal Trends in Body Composition and Metabolic Markers Prior to Diagnosis of Pancreatic Ductal Adenocarcinoma. Clinical Gastroenterology and Hepatology. 22(9). 1830–1838.e9. 8 indexed citations
4.
Zhang, Zheyuan, Ulaş Bağcı, Elif Keleş, et al.. (2023). Tu1986 A FULLY AUTOMATIC AI SYSTEM FOR PANCREAS SEGMENTATION FROM MULTICENTER MRI SCANS. Gastroenterology. 164(6). S–1175.
5.
Engels, Megan, et al.. (2022). Prevalence, features, and explanations of missed and misinterpreted pancreatic cancer on imaging: a matched case–control study. Abdominal Radiology. 47(12). 4160–4172. 10 indexed citations
6.
Palazzo, Simone, Michael B. Wallace, Candice W. Bolan, et al.. (2022). Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 475–479. 3 indexed citations
7.
Weiland, Christina J. Sperna, Megan Engels, Alexander C. Poen, et al.. (2021). Increased Use of Prophylactic Measures in Preventing Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis. Digestive Diseases and Sciences. 66(12). 4457–4466. 11 indexed citations
8.
Kröner, Paul T., Megan Engels, Benjamin S. Glicksberg, et al.. (2021). Artificial intelligence in gastroenterology: A state-of-the-art review. World Journal of Gastroenterology. 27(40). 6794–6824. 91 indexed citations
9.
Engels, Megan, et al.. (2021). 79 MISSED DIAGNOSIS OF PANCREATIC DUCTAL ADENOCARCINOMA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK. Gastroenterology. 160(6). S–18. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026