Standout Papers
- The 2019 WHO classification of tumours of the digestive system (2019)
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images (2019)
- DAXX / ATRX , MEN1 , and mTOR Pathway Genes Are Frequently Altered in Pancreatic Neuroendocrine Tumors (2011)
- Cetuximab Shows Activity in Colorectal Cancer Patients With Tumors That Do Not Express the Epidermal Growth Factor Receptor by Immunohistochemistry (2005)
- Pancreatic Intraepithelial Neoplasia (2001)
- The Pathologic Classification of Neuroendocrine Tumors (2010)
- An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms (2004)
- Intrahepatic Cholangiocarcinoma (2008)
- Long-Term Survival After Curative Resection for Pancreatic Ductal Adenocarcinoma (1996)
- Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms (2022)
- Consensus Guidelines for the Management and Treatment of Neuroendocrine Tumors (2013)
- Comprehensive Molecular Profiling of Intrahepatic and Extrahepatic Cholangiocarcinomas: Potential Targets for Intervention (2018)
- The High-grade (WHO G3) Pancreatic Neuroendocrine Tumor Category Is Morphologically and Biologically Heterogenous and Includes Both Well Differentiated and Poorly Differentiated Neoplasms (2015)
- Pan-Trk Immunohistochemistry Is an Efficient and Reliable Screen for the Detection of NTRK Fusions (2017)
Immediate Impact
4 by Nobel laureates 14 from Science/Nature 137 standout
Citing Papers
[177Lu]Lu-DOTA-TATE plus long-acting octreotide versus high‑dose long-acting octreotide for the treatment of newly diagnosed, advanced grade 2–3, well-differentiated, gastroenteropancreatic neuroendocrine tumours (NETTER-2): an open-label, randomised, phase 3 study
2024 Standout
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
2023 Standout
Works of David S. Klimstra being referenced
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
2020
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| David S. Klimstra | 33496 | 18697 | 16137 | 486 | 47.2k | |
| Michel Ducreux | 25207 | 11207 | 7308 | 612 | 36.6k | |
| Günter Klöppel | 18600 | 12563 | 12151 | 448 | 29.0k | |
| Aldo Scarpa | 16876 | 5233 | 9091 | 597 | 32.1k | |
| Christopher L. Wolfgang | 21682 | 12339 | 7126 | 469 | 27.1k | |
| Massimo Falconi | 25843 | 13375 | 15679 | 647 | 30.6k | |
| Michael A. Choti | 16788 | 12183 | 5142 | 302 | 28.3k | |
| Jaffer A. Ajani | 16398 | 20687 | 3561 | 923 | 44.0k | |
| Richard Kaplan | 22048 | 7599 | 3809 | 171 | 45.0k | |
| Yung‐Jue Bang | 20426 | 7405 | 2734 | 602 | 36.1k | |
| Larry Rubinstein | 22032 | 7219 | 3665 | 195 | 46.6k |
All Works
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