Kenneth H. Yu

14.7k total citations · 1 hit paper
207 papers, 5.6k citations indexed

About

Kenneth H. Yu is a scholar working on Oncology, Aerospace Engineering and Cancer Research. According to data from OpenAlex, Kenneth H. Yu has authored 207 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Oncology, 61 papers in Aerospace Engineering and 61 papers in Cancer Research. Recurrent topics in Kenneth H. Yu's work include Pancreatic and Hepatic Oncology Research (87 papers), Cancer Genomics and Diagnostics (57 papers) and Combustion and flame dynamics (36 papers). Kenneth H. Yu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (87 papers), Cancer Genomics and Diagnostics (57 papers) and Combustion and flame dynamics (36 papers). Kenneth H. Yu collaborates with scholars based in United States, Canada and Israel. Kenneth H. Yu's co-authors include Ian A. Blair, Eileen M. O’Reilly, Christine A. Iacobuzio–Donahue, Maeve A. Lowery, David A. Tuveson, Ralph H. Hruban, Florian A. Karreth, Scott E. Kern, Francesca Scrimieri and Cong Wei and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Kenneth H. Yu

193 papers receiving 5.5k citations

Hit Papers

Oncogene-induced Nrf2 transcription promotes ROS detoxifi... 2011 2026 2016 2021 2011 500 1000 1.5k

Peers

Kenneth H. Yu
Jian Guan China
Shailendra B. Patel United States
Pierre P. Massion United States
Sean P. Cleary United States
Georg F. Weber United States
Kenneth H. Yu
Citations per year, relative to Kenneth H. Yu Kenneth H. Yu (= 1×) peers Junling Li

Countries citing papers authored by Kenneth H. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Yu. 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 Kenneth H. Yu. The network helps show where Kenneth H. Yu may publish in the future.

Co-authorship network of co-authors of Kenneth H. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Yu. A scholar is included among the top collaborators of Kenneth H. Yu 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 Kenneth H. Yu. Kenneth H. Yu 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
2.
Jeong, Seung–Min, et al.. (2024). Numerical study on the combustion characteristics and performances of single and multi-injectors in a scramjet combustor. Aerospace Science and Technology. 155. 109697–109697. 8 indexed citations
4.
Knox, Jennifer J., Elizabeth M. Jaffee, Grainne M. O’Kane, et al.. (2024). Early results of the PASS-01 trial: Pancreatic adenocarcinoma signature stratification for treatment-01.. Journal of Clinical Oncology. 42(17_suppl). LBA4004–LBA4004. 6 indexed citations
5.
Chou, Joanne F., Marinela Capanu, Jennifer Park, et al.. (2024). Morbidity and mortality in patients with stage IV pancreatic adenocarcinoma and acute cholangitis: Outcomes and risk prognostication. Pancreatology. 24(4). 608–615. 2 indexed citations
6.
Keane, Fergus, Joanne F. Chou, Henry Walch, et al.. (2024). Precision medicine for pancreatic cancer: characterizing the clinicogenomic landscape and outcomes of KRAS G12C-mutated disease. JNCI Journal of the National Cancer Institute. 116(9). 1429–1438. 2 indexed citations
8.
Keane, Fergus, Fiyinfolu Balogun, Catherine O’Connor, et al.. (2023). Adjuvant modified FOLFIRINOX (mFFX) for resected pancreatic cancer (PDAC): Real world outcomes (RWO).. Journal of Clinical Oncology. 41(4_suppl). 685–685. 1 indexed citations
9.
Tuli, Richard, Fergus Keane, Joshua D. Schoenfeld, et al.. (2023). A phase I/II study of durvalumab and stereotactic ablative body radiotherapy (SABR) in locally advanced (LA) and borderline resectable (BR) pancreatic cancer.. Journal of Clinical Oncology. 41(16_suppl). 4164–4164. 1 indexed citations
10.
Keane, Fergus, Joshua D. Schoenfeld, Catherine O’Connor, et al.. (2023). A phase II study of durvalumab and stereotactic ablative body radiotherapy (SABR) in locally advanced pancreatic adenocarcinoma (LA PDAC).. Journal of Clinical Oncology. 41(4_suppl). 725–725. 1 indexed citations
11.
Yu, Kenneth H., Jennifer Park, Ghassan K. Abou‐Alfa, et al.. (2022). Circulating tumor and invasive cell expression profiling predicts effective therapy in pancreatic cancer. Cancer. 128(15). 2958–2966. 7 indexed citations
12.
Özer, Muhammet, Nicolas Lecomte, Juan M. Schvartzman, et al.. (2022). Concurrent GermlineBRCA1/2and Mismatch Repair Mutations in Young-Onset Pancreatic and Colorectal Cancer: The Importance of Comprehensive Germline and Somatic Characterization to Inform Therapeutic Options. JCO Precision Oncology. 6(6). e2100560–e2100560. 3 indexed citations
13.
Park, Wungki, Catherine O’Connor, Chaitanya Bandlamudi, et al.. (2022). Clinico-genomic Characterization of ATM and HRD in Pancreas Cancer: Application for Practice. Clinical Cancer Research. 28(21). 4782–4792. 13 indexed citations
14.
McIntyre, Caitlin A., Sharon Lawrence, Allison L. Richards, et al.. (2020). Alterations in driver genes are predictive of survival in patients with resected pancreatic ductal adenocarcinoma. Cancer. 126(17). 3939–3949. 49 indexed citations
15.
O’Reilly, Eileen M., Devalingam Mahalingam, Tanios Bekaii‐Saab, et al.. (2020). Randomised phase II trial of gemcitabine and nab-paclitaxel with necuparanib or placebo in untreated metastatic pancreas ductal adenocarcinoma. European Journal of Cancer. 132. 112–121. 27 indexed citations
16.
Ponz‐Sarvisé, Mariano, Vincenzo Corbo, Hervé Tiriac, et al.. (2019). Identification of Resistance Pathways Specific to Malignancy Using Organoid Models of Pancreatic Cancer. Clinical Cancer Research. 25(22). 6742–6755. 41 indexed citations
17.
Yu, Kenneth H., Omar Carranza, Mariano Ponz‐Sarvisé, et al.. (2019). Use of Machine-Learning Algorithms in Intensified Preoperative Therapy of Pancreatic Cancer to Predict Individual Risk of Relapse. Cancers. 11(5). 606–606. 27 indexed citations
18.
Jordan, Emmet, Olca Baştürk, Steven D. Leach, et al.. (2016). Clinical and Molecular Analysis of Adenosquamous Carcinoma of the Pancreas. JOP, journal of the pancreas. 17(6). 1 indexed citations
19.
Yu, Kenneth H., Manuel Hidalgo, Ghassan K. Abou‐Alfa, et al.. (2014). Pharmacogenomic Modeling of Circulating Tumor and Invasive Cells for Prediction of Chemotherapy Response and Resistance in Pancreatic Cancer. Clinical Cancer Research. 20(20). 5281–5289. 41 indexed citations
20.
Epstein, Andrew S., Angelo E. Volandes, Ling Y. Chen, et al.. (2013). A Randomized Controlled Trial of a Cardiopulmonary Resuscitation Video in Advance Care Planning for Progressive Pancreas and Hepatobiliary Cancer Patients. Journal of Palliative Medicine. 16(6). 623–631. 69 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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