Linda C. Chu

4.5k total citations · 1 hit paper
170 papers, 2.5k citations indexed

About

Linda C. Chu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Linda C. Chu has authored 170 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 59 papers in Oncology and 49 papers in Surgery. Recurrent topics in Linda C. Chu's work include Pancreatic and Hepatic Oncology Research (47 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Neuroendocrine Tumor Research Advances (12 papers). Linda C. Chu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (47 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Neuroendocrine Tumor Research Advances (12 papers). Linda C. Chu collaborates with scholars based in United States, France and Germany. Linda C. Chu's co-authors include Elliot K. Fishman, Ralph H. Hruban, Michael Goggins, Steven P. Rowe, Satomi Kawamoto, Christina L. Stallings, Michael S. Glickman, Bryce E. Nickels, Daniel Fadaei Fouladi and Nicolas C. Stephanou and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Linda C. Chu

151 papers receiving 2.5k citations

Hit Papers

Multidisciplinary standards of care and recent progress i... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
    2020 318 citations Linda C. Chu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda C. Chu United States 24 1.0k 781 524 518 481 170 2.5k
Chi Lin United States 26 851 0.8× 327 0.4× 489 0.9× 728 1.4× 310 0.6× 144 2.1k
Koen Van de Vijver Belgium 29 825 0.8× 404 0.5× 1.4k 2.6× 518 1.0× 570 1.2× 151 3.8k
Fenghai Duan United States 32 578 0.6× 1.3k 1.6× 233 0.4× 1.5k 3.0× 339 0.7× 96 2.8k
Mark E. Smolkin United States 34 1.5k 1.4× 232 0.3× 388 0.7× 461 0.9× 939 2.0× 86 3.2k
Albino Eccher Italy 31 836 0.8× 470 0.6× 425 0.8× 771 1.5× 575 1.2× 161 2.6k
Charles L. Hitchcock United States 25 1.1k 1.0× 216 0.3× 472 0.9× 410 0.8× 535 1.1× 84 2.5k
Lars‐Christian Horn Germany 37 727 0.7× 311 0.4× 944 1.8× 679 1.3× 716 1.5× 253 4.5k
Susan C. Lester United States 33 1.4k 1.4× 651 0.8× 778 1.5× 429 0.8× 716 1.5× 99 4.3k
Irit Avivi Israel 40 2.0k 1.9× 488 0.6× 256 0.5× 400 0.8× 919 1.9× 247 4.6k

Countries citing papers authored by Linda C. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Linda C. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda C. Chu. 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 Linda C. Chu. The network helps show where Linda C. Chu may publish in the future.

Co-authorship network of co-authors of Linda C. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Linda C. Chu. A scholar is included among the top collaborators of Linda C. Chu 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 Linda C. Chu. Linda C. Chu 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.
Fishman, Elliot K., Daniel J. Lee, Linda C. Chu, & Steven P. Rowe. (2025). The Academic Mission Starts, or Ends, at the Top. Journal of the American College of Radiology. 23(2). 318–319.
2.
Chu, Linda C., et al.. (2025). Hepatic angiosarcoma: A challenging diagnosis. Radiology Case Reports. 20(5). 2342–2345. 1 indexed citations
3.
Tixier, Florent, et al.. (2025). Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation. Canadian Association of Radiologists Journal. 77(1). 107–118. 2 indexed citations
4.
Chu, Linda C., et al.. (2025). Detection of small pancreatic ductal adenocarcinoma: The potential of cinematic rendering in earlier lesion detection. Current Problems in Diagnostic Radiology. 55(2). 339–347.
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Chu, Linda C., et al.. (2025). Spontaneous rupture of solid pseudopapillary neoplasm (SPN) of the Pancreas – imaging insights and review of the literature. Emergency Radiology. 32(4). 653–661. 1 indexed citations
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Chu, Linda C., et al.. (2025). Hematuria in the ER patient: optimizing detection of upper tract urothelial cancer – A pictorial essay. Emergency Radiology. 32(2). 267–277. 1 indexed citations
10.
Azadi, Javad, Sheila Sheth, Satomi Kawamoto, et al.. (2024). Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT. Diagnostic and Interventional Imaging. 106(1). 28–40. 9 indexed citations
11.
Ferres, Juan Lavista, Felipe Oviedo, Caleb Robinson, et al.. (2024). Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst. Pancreatology. 24(7). 1182–1191. 3 indexed citations
12.
Huang, Chenchan, Yiqiu Shen, Samuel J. Galgano, et al.. (2024). Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques. Abdominal Radiology. 50(4). 1731–1743. 2 indexed citations
13.
Chu, Linda C., et al.. (2024). Primary renal liposarcoma simulating angiomyolipoma. SHILAP Revista de lepidopterología. 19(4). 1484–1488. 3 indexed citations
14.
Chu, Linda C., et al.. (2024). The role of 3D cinematic rendering in the evaluation of upper extremity trauma. Emergency Radiology. 31(5). 767–778. 1 indexed citations
15.
Chu, Linda C., et al.. (2024). 3D Cinematic rendering for evaluating femoral pseudoaneurysms in injection drug users. Emergency Radiology. 31(4). 595–603. 1 indexed citations
16.
Wright, Michael, Jin He, Christopher L. Wolfgang, et al.. (2024). Factors associated with radiological misstaging of pancreatic ductal adenocarcinoma: A retrospective observational study. Current Problems in Diagnostic Radiology. 53(4). 458–463. 2 indexed citations
17.
Chu, Linda C., et al.. (2024). An incidental large adrenal schwannoma: A case report. SHILAP Revista de lepidopterología. 19(8). 3008–3012.
18.
Rowe, Steven P., et al.. (2023). Three-dimensional CT cinematic rendering of adrenal masses: Role in tumor analysis and management. Diagnostic and Interventional Imaging. 105(1). 5–14. 9 indexed citations
19.
Rowe, Steven P., Alexa Meyer, Michael A. Gorin, Linda C. Chu, & Elliot K. Fishman. (2020). Evaluation of the urinary bladder using three-dimensional CT cinematic rendering. Diagnostic and Interventional Imaging. 101(12). 771–781. 8 indexed citations
20.
Chu, Linda C., Elliot K. Fishman, Alan Yuille, et al.. (2019). Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation. Diagnostic and Interventional Imaging. 101(1). 35–44. 43 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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