Carol C. Wu

7.7k total citations · 1 hit paper
156 papers, 4.2k citations indexed

About

Carol C. Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Carol C. Wu has authored 156 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Pulmonary and Respiratory Medicine, 64 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Surgery. Recurrent topics in Carol C. Wu's work include Lung Cancer Diagnosis and Treatment (49 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Radiation Dose and Imaging (21 papers). Carol C. Wu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (49 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Radiation Dose and Imaging (21 papers). Carol C. Wu collaborates with scholars based in United States, Taiwan and Canada. Carol C. Wu's co-authors include Brett W. Carter, Jo-Anne O. Shepard, Patricia M. de Groot, Reginald F. Munden, Michael M. Maher, Matthew D. Gilman, Marc Kohli, Gerald F. Abbott, Jeanne B. Ackman and Fu‐Zong Wu and has published in prestigious journals such as New England Journal of Medicine, Circulation and PLoS ONE.

In The Last Decade

Carol C. Wu

146 papers receiving 4.1k citations

Hit Papers

align trajectories

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.

The epidemiology of lung cancer

2018 481 citations Patricia M. de Groot, Carol C. Wu et al. profile →

Peers

Countries citing papers authored by Carol C. Wu

Since Specialization

Citations

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

Fields of papers citing papers by Carol C. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol C. Wu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Radiation Recall Pneumonitis: Imaging Appearance and Differential Considerations 2024 ·Korean Journal of Radiology ·(unknown), Girish S. Shroff, Jitesh Ahuja, Rishi Agrawal, Melissa C. Price, Carol C. Wu	2
2	Acquired Hemophilia A: A Rare Cause of Uncontrolled Hemorrhage in the Intensive Care Unit 2024 ·Carol C. Wu, Adam G. Stewart, (unknown)	0
3	ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions 2024 ·Artificial Intelligence in Medicine ·(unknown), (unknown), Carol C. Wu, Hien Van Nguyen, Zhigang Deng, Donald Adjeroh, Gianfranco Doretto, Arabinda K. Choudhary, (unknown)	1
4	The 2023 American Association for Thoracic Surgery (AATS) Expert Consensus Document: Management of subsolid lung nodules 2024 ·Journal of Thoracic and Cardiovascular Surgery ·Haiquan Chen, Anthony W. Kim, Michael K.Y. Hsin, Joseph B. Shrager, Ashley E. Prosper, Momen M. Wahidi, Dennis A. Wigle, Carol C. Wu, James Huang, Kazuhiro Yasufuku, Claudia I. Henschke, (unknown), Tina D. Tailor, David R. Jones, Jane Yanagawa	17
5	SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers 2023 ·Patterns ·Qasem Al-Tashi, Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al‐Lazikani, Christopher Gibbons, Natalie I. Vokes, Jianjun Zhang, J. Jack Lee, John V. Heymach, David A. Jaffray, Seyedali Mirjalili, Jia Wu	4
6	ACR Appropriateness Criteria® Incidentally Detected Indeterminate Pulmonary Nodule 2023 ·Journal of the American College of Radiology ·(unknown), Travis S. Henry, Mark F. Berry, Geoffrey B. Johnson, Aine Marie Kelly, Jane P. Ko, (unknown), Elizabeth Lee, Fabien Maldonado, (unknown), Reginald F. Munden, Constantine A. Raptis, (unknown), Arlene Sirajuddin, William Small, Betty C. Tong, Carol C. Wu, Edwin F. Donnelly	5
7	Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization 2021 ·Journal of the American College of Radiology ·Juan Batlle, Keith J. Dreyer, Bibb Allen, Tessa S. Cook, Christopher J. Roth, Andrea Borondy Kitts, (unknown), Carol C. Wu, (unknown), (unknown), Adam Prater, Daniel L. Rubin, Safwan S. Halabi, (unknown), (unknown), Laura P. Coombs, Christoph Wald	18
8	Geometric and dosimetric accuracy of deformable image registration between average‐intensity images for 4DCT‐based adaptive radiotherapy for non‐small cell lung cancer 2021 ·Journal of Applied Clinical Medical Physics ·(unknown), Guillaume Cazoulat, Carol C. Wu, Christine B. Peterson, (unknown), Brian Anderson, Julianne Pollard‐Larkin, Peter Balter, Zhongxing Liao, Radhe Mohan, Kristy K. Brock	7
9	Efficacy of Targeted Inhibitors in Metastatic Lung Squamous Cell Carcinoma With EGFR or ALK Alterations 2021 ·JTO Clinical and Research Reports ·Whitney E. Lewis, Lingzhi Hong, Frank E. Mott, George R. Simon, Carol C. Wu, Waree Rinsurongkawong, J. Jack Lee, Vincent K. Lam, John V. Heymach, Jianjun Zhang, Xiuning Le	22
10	Pearls and Pitfalls in Postsurgical Imaging of the Chest 2021 ·Seminars in Ultrasound CT and MRI ·Chad D. Strange, Ioannis Vlahos, Mylene T. Truong, Girish S. Shroff, Jitesh Ahuja, Carol C. Wu, Jane P. Ko	1
11	Association between Initial Chest CT or Clinical Features and Clinical Course in Patients with Coronavirus Disease 2019 Pneumonia 2020 ·Korean Journal of Radiology ·Zhe Liu, Chao Jin, Carol C. Wu, Ting Liang, Huifang Zhao, (unknown), Zekun Wang, Fen Li, Jie Zhou, Shubo Cai, Lingxia Zeng, Jian Yang	43
12	Imaging Findings in Transgender Patients after Gender-affirming Surgery 2019 ·Radiographics ·Justin T. Stowell, Frances Grimstad, (unknown), (unknown), Richard A. Santucci, Curtis Crane, Amy Patel, Jordana Phillips, (unknown), (unknown), (unknown), Ronaldo Hueb Baroni, Carol C. Wu, (unknown), Stephanie Scott, (unknown)	29
13	Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia 2019 ·Radiology Artificial Intelligence ·George Shih, Carol C. Wu, Safwan S. Halabi, Marc Kohli, Luciano M. Prevedello, Tessa S. Cook, Arjun Sharma, Judith K. Amorosa, (unknown), Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C. B. Godoy, Stephen Hobbs, Jean Jeudy, Archana Laroia, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, Anouk Stein	181
14	Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement 2019 ·Radiology ·J. Raymond Geis, Adrian P. Brady, Carol C. Wu, Jack Spencer, Erik Ranschaert, Jacob L. Jaremko, Steve G. Langer, Andrea Borondy Kitts, Judy Birch, William Shields, R. van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S. Cook, Matthew B. Morgan, An Tang, Nabile Safdar, Marc Kohli	206
15	Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions 2019 ·Radiology Artificial Intelligence ·Luciano M. Prevedello, Safwan S. Halabi, George Shih, Carol C. Wu, Marc Kohli, Falgun H. Chokshi, Bradley J. Erickson, Jayashree Kalpathy–Cramer, Katherine P. Andriole, Adam E. Flanders	107
16	Lung Computed Tomography Screening Reporting and Data System Version 1.0 2017 ·Seminars in Roentgenology ·Brett W. Carter, John P. Lichtenberger, Girish S. Shroff, Carol C. Wu	0
17	What's New in 10 Years? A Revised Cardiothoracic Curriculum for Diagnostic Radiology Residency with Goals and Objectives Related to General Competencies 2016 ·Academic Radiology ·Elsie T. Nguyen, Jeanne B. Ackman, Prabhakar Rajiah, Brent P. Little, Carol C. Wu, Juliana Bueno, (unknown), Jared D. Christensen, Rachna Madan, Archana Laroia, Christopher Lee, Jeffrey P. Kanne, Jannette Collins	5
18	Differential Effects of Bariatric Surgery Versus Exercise on Excessive Visceral Fat Deposits 2016 ·Medicine ·Fu‐Zong Wu, (unknown), Carol C. Wu, (unknown), (unknown), (unknown), Lee‐Ren Yeh, (unknown)	44
19	Pitfalls in Chest Radiographic Interpretation: Blind Spots 2015 ·Seminars in Roentgenology ·Patricia M. de Groot, Brett W. Carter, Gerald F. Abbott, Carol C. Wu	28
20	Case 11-2012 2012 ·New England Journal of Medicine ·Richard N. Channick, (unknown), Carol C. Wu, Mai P. Hoang	1

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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