David F. Schaeffer

8.6k total citations
144 papers, 3.2k citations indexed

About

David F. Schaeffer is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, David F. Schaeffer has authored 144 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Oncology, 38 papers in Surgery and 37 papers in Cancer Research. Recurrent topics in David F. Schaeffer's work include Pancreatic and Hepatic Oncology Research (52 papers), Cancer Genomics and Diagnostics (30 papers) and Genetic factors in colorectal cancer (24 papers). David F. Schaeffer is often cited by papers focused on Pancreatic and Hepatic Oncology Research (52 papers), Cancer Genomics and Diagnostics (30 papers) and Genetic factors in colorectal cancer (24 papers). David F. Schaeffer collaborates with scholars based in Canada, United States and Australia. David F. Schaeffer's co-authors include Richard Kirsch, Robert H. Riddell, Daniel J. Renouf, Bojana Mitrovic, Kyra B. Berg, Charles H. Scudamore, David Owen, Steve E. Kalloger, Hagen F. Kennecke and Howard J. Lim and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

David F. Schaeffer

137 papers receiving 3.2k citations

Peers

David F. Schaeffer
Chang Ohk Sung South Korea
David F. Schaeffer
Citations per year, relative to David F. Schaeffer David F. Schaeffer (= 1×) peers Chang Ohk Sung

Countries citing papers authored by David F. Schaeffer

Since Specialization
Citations

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

Fields of papers citing papers by David F. Schaeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Schaeffer. 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 David F. Schaeffer. The network helps show where David F. Schaeffer may publish in the future.

Co-authorship network of co-authors of David F. Schaeffer

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

All Works

20 of 20 papers shown
1.
Mattman, André, Anthony K.-C. So, Howard J. Lim, et al.. (2025). Elevated CA19-9 in IgG4-related disease. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 63(2). 132–140.
2.
Shen, Changxian, Tiantian Cui, Linlin Yang, et al.. (2025). KRAS-induced STN1 (OBFC1) promotes proper CTC1–STN1–TEN1 complex-independent DNA double-strand break repair and cell cycle checkpoint maintenance in pancreatic cancer. Nucleic Acids Research. 53(18). 1 indexed citations
3.
Karasinska, Joanna M., James T. Topham, Steve E. Kalloger, et al.. (2024). Pancreatic cancer tumor organoids exhibit subtype-specific differences in metabolic profiles. SHILAP Revista de lepidopterología. 12(1). 28–28. 5 indexed citations
4.
Wolfe, Adam R., Tiantian Cui, Amy Webb, et al.. (2024). Nutrient scavenging-fueled growth in pancreatic cancer depends on caveolae-mediated endocytosis under nutrient-deprived conditions. Science Advances. 10(9). eadj3551–eadj3551. 5 indexed citations
5.
Titmuss, Emma, Robert J. Vanner, David F. Schaeffer, et al.. (2024). Clonal Hematopoiesis of Indeterminate Potential and its Association with Treatment Outcomes and Adverse Events in Patients with Solid Tumors. Cancer Research Communications. 5(1). 66–73. 2 indexed citations
6.
Wang, Wei, et al.. (2024). Acvr1b Loss Increases Formation of Pancreatic Precancerous Lesions From Acinar and Ductal Cells of Origin. Cellular and Molecular Gastroenterology and Hepatology. 18(5). 101387–101387. 1 indexed citations
7.
Lellmann, Jan, Herbert Thiele, Steve E. Kalloger, et al.. (2023). Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks. Cancers. 15(3). 686–686. 4 indexed citations
8.
Solitano, Virginia, David F. Schaeffer, Malcolm Hogan, et al.. (2023). Reliability and Responsiveness of Histologic Indices for the Assessment of Crohn’s Disease Activity. Clinical Gastroenterology and Hepatology. 22(9). 1898–1907.e25. 4 indexed citations
9.
Panzhinskiy, Evgeniy, Paul C. Orban, Francis C. Lynn, et al.. (2023). Islet amyloid polypeptide does not suppress pancreatic cancer. Molecular Metabolism. 68. 101667–101667. 4 indexed citations
10.
Chafe, Shawn C., Frederick S. Vizeacoumar, Geetha Venkateswaran, et al.. (2021). Genome-wide synthetic lethal screen unveils novel CAIX-NFS1/xCT axis as a targetable vulnerability in hypoxic solid tumors. Science Advances. 7(35). 98 indexed citations
11.
Pai, Reetesh K., Douglas J. Hartman, David F. Schaeffer, et al.. (2021). Development and initial validation of a deep learning algorithm to quantify histological features in colorectal carcinoma including tumour budding/poorly differentiated clusters. Histopathology. 79(3). 391–405. 35 indexed citations
13.
Chu, Jenny E., Benny Johnson, Van K. Morris, et al.. (2020). Population-based Screening for BRAF V600E in Metastatic Colorectal Cancer Reveals Increased Prevalence and Poor Prognosis. Clinical Cancer Research. 26(17). 4599–4605. 31 indexed citations
14.
Ye, Jie, Haitao Wang, Anni Zhang, et al.. (2020). PRDM3 attenuates pancreatitis and pancreatic tumorigenesis by regulating inflammatory response. Cell Death and Disease. 11(3). 187–187. 15 indexed citations
15.
Mendis, Shehara, Miguel Alcaide, James T. Topham, et al.. (2020). Integration of Whole-Genome Sequencing With Circulating Tumor DNA Analysis Captures Clonal Evolution and Tumor Heterogeneity in Non-V600 BRAF Mutant Colorectal Cancer. Clinical Colorectal Cancer. 19(2). 132–136.e3. 1 indexed citations
16.
Ho, Julie, et al.. (2019). Cytohistological diagnosis of pancreatic serous cystadenoma: a multimodal approach. Journal of Clinical Pathology. 72(9). 615–621. 8 indexed citations
17.
Tessier‐Cloutier, Basile, et al.. (2019). Off-label use of common predictive biomarkers in gastrointestinal malignancies: a critical appraisal. Diagnostic Pathology. 14(1). 62–62. 3 indexed citations
18.
Dubois, Claire L., et al.. (2018). Cell of origin affects tumour development and phenotype in pancreatic ductal adenocarcinoma. Gut. 68(3). 487–498. 88 indexed citations
19.
Weiswald, Louis‐Bastien, Mohammad R. Hasan, John C.T. Wong, et al.. (2017). Inactivation of the Kinase Domain of CDK10 Prevents Tumor Growth in a Preclinical Model of Colorectal Cancer, and Is Accompanied by Downregulation of Bcl-2. Molecular Cancer Therapeutics. 16(10). 2292–2303. 17 indexed citations
20.
Wong, John C.T., Simon K. Chan, David F. Schaeffer, et al.. (2011). Absence of MMP2 Expression Correlates with Poor Clinical Outcomes in Rectal Cancer, and Is Distinct from MMP1-Related Outcomes in Colon Cancer. Clinical Cancer Research. 17(12). 4167–4176. 31 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.

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