Daniel Croagh

1.9k total citations
98 papers, 918 citations indexed

About

Daniel Croagh is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Croagh has authored 98 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Oncology, 50 papers in Surgery and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Croagh's work include Pancreatic and Hepatic Oncology Research (45 papers), Pancreatitis Pathology and Treatment (16 papers) and Gallbladder and Bile Duct Disorders (15 papers). Daniel Croagh is often cited by papers focused on Pancreatic and Hepatic Oncology Research (45 papers), Pancreatitis Pathology and Treatment (16 papers) and Gallbladder and Bile Duct Disorders (15 papers). Daniel Croagh collaborates with scholars based in Australia, United Kingdom and United States. Daniel Croagh's co-authors include Wayne A. Phillips, Pritinder Kaur, Robert J. S. Thomas, Brendan J. Jenkins, Paul Cashin, Joanne Lundy, Catherine E. Huggins, Kate Furness, Terry Haines and Richard P. Redvers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Daniel Croagh

82 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Croagh Australia 18 469 406 236 164 112 98 918
Atif Iqbal United States 20 386 0.8× 792 2.0× 182 0.8× 65 0.4× 90 0.8× 72 1.2k
Shaun McKenzie United States 16 519 1.1× 453 1.1× 219 0.9× 108 0.7× 90 0.8× 29 886
Jürgen Mulsow Ireland 16 255 0.5× 497 1.2× 133 0.6× 156 1.0× 39 0.3× 50 1.0k
Sean C. Wightman United States 12 166 0.4× 166 0.4× 197 0.8× 131 0.8× 127 1.1× 61 744
Wilhelmina M. U. van Grevenstein Netherlands 19 459 1.0× 480 1.2× 162 0.7× 72 0.4× 68 0.6× 48 857
Young Ho Kim South Korea 23 330 0.7× 251 0.6× 150 0.6× 210 1.3× 132 1.2× 52 1.2k
John P. Micha United States 21 355 0.8× 498 1.2× 209 0.9× 200 1.2× 40 0.4× 121 1.4k
Miin-Fu Chen Taiwan 20 381 0.8× 646 1.6× 266 1.1× 85 0.5× 198 1.8× 41 1.3k
Mengyang Di United States 15 303 0.6× 204 0.5× 127 0.5× 129 0.8× 78 0.7× 54 770
Chintamani Chintamani India 18 325 0.7× 459 1.1× 182 0.8× 108 0.7× 183 1.6× 78 1.0k

Countries citing papers authored by Daniel Croagh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Croagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Croagh

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Croagh. A scholar is included among the top collaborators of Daniel Croagh 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 Daniel Croagh. Daniel Croagh 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.
Xiao, Lulu, et al.. (2025). Effect of Body Mass Index on Intraoperative Complications During Hepatic Resection for Malignancy. ANZ Journal of Surgery. 95(7-8). 1462–1469.
3.
Curvello, Rodrigo, et al.. (2024). Tailoring metabolic activity assays for tumour-engineered 3D models. Biomaterials Advances. 167. 214116–214116.
4.
Salomoni, Sauro E., Rachel Ε. Neale, Amanda L. Neil, et al.. (2024). The epidemiology of acute pancreatitis in Tasmania over a 12-year period: Is this a disease of disadvantage?. Pancreatology. 24(4). 522–527. 1 indexed citations
5.
Furness, Kate, et al.. (2024). Comparison of Goal Achievement during an Early, Intensive Nutrition Intervention Delivered to People with Upper Gastrointestinal Cancer by Telephone Compared with Mobile Application. International Journal of Telemedicine and Applications. 2024. 1–10. 1 indexed citations
6.
Bailey, James, Peter Brotchie, Lynn Chong, et al.. (2024). Using neural networks to autonomously assess adequacy in intraoperative cholangiograms. Surgical Endoscopy. 38(5). 2734–2745.
7.
Croagh, Daniel, et al.. (2024). Primary division of annular pancreas: a surgical technique. Journal of Surgical Case Reports. 2024(11). rjae712–rjae712.
9.
Lundy, Joanne & Daniel Croagh. (2023). Endoscopic Ultrasound-Guided Fine-Needle Biopsies to Generate Preclinical Disease Models to Study Inflammation in Pancreatic Ductal Adenocarcinoma. Methods in molecular biology. 2691. 43–54. 1 indexed citations
10.
Croagh, Daniel, Christoph Michalski, Mark I. van Berge Henegouwen, & Sergio Alfieri. (2023). Diagnosis and management of pancreatic insufficiency in patients with gastrectomy due to cancer or gastric ulcers: a virtual roundtable expert discussion. Expert Review of Gastroenterology & Hepatology. 17(12). 1313–1319.
11.
Ioannou, Liane, Ashika Maharaj, John Zalcberg, et al.. (2022). Prognostic models to predict survival in patients with pancreatic cancer: a systematic review. HPB. 24(8). 1201–1216. 6 indexed citations
12.
Lundy, Joanne, et al.. (2021). Targeted Transcriptome and KRAS Mutation Analysis Improve the Diagnostic Performance of EUS-FNA Biopsies in Pancreatic Cancer. Clinical Cancer Research. 27(21). 5900–5911. 7 indexed citations
13.
Ross, Paul J., Harpreet Wasan, Daniel Croagh, et al.. (2021). Results of a single-arm pilot study of 32P microparticles in unresectable locally advanced pancreatic adenocarcinoma with gemcitabine/nab-paclitaxel or FOLFIRINOX chemotherapy. ESMO Open. 7(1). 100356–100356. 13 indexed citations
14.
Thakur, Udit, Charles Pilgrim, Enoch Wong, et al.. (2021). Metal stents are safe and cost‐effective for preoperative biliary drainage in resectable pancreaticobiliary tumours. ANZ Journal of Surgery. 91(9). 1841–1846. 4 indexed citations
15.
Lundy, Joanne, Marion Harris, John Zalcberg, et al.. (2021). EUS-FNA Biopsies to Guide Precision Medicine in Pancreatic Cancer: Results of a Pilot Study to Identify KRAS Wild-Type Tumours for Targeted Therapy. Frontiers in Oncology. 11. 770022–770022. 5 indexed citations
16.
Maharaj, Ashika, Sue Evans, John Zalcberg, et al.. (2020). Barriers and enablers to the implementation of multidisciplinary team meetings: a qualitative study using the theoretical domains framework. BMJ Quality & Safety. 30(10). 792–803. 16 indexed citations
17.
Maharaj, Ashika, Sue Evans, John Zalcberg, et al.. (2020). Barriers and enablers to the implementation of protocol-based imaging in pancreatic cancer: A qualitative study using the theoretical domains framework. PLoS ONE. 15(12). e0243312–e0243312. 3 indexed citations
19.
Maharaj, Ashika, Sue Evans, John Zalcberg, et al.. (2019). Patient-reported outcome measures (PROMs) in pancreatic cancer: a systematic review. HPB. 22(2). 187–203. 23 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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