Carol C. Wu

The University of Texas MD Anderson Cancer Center

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

11.5Author DataRank

Indexed papers

4in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 4 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957

Top 3%

6.4DataRank

Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Papers

Driven by 29 papers — median percentile 59. Top paper: “The RSNA International COVID-19 Open Radiology Database (RICORD)”.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957

Top 3%

6.4DataRank

Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300

Top 4%

5.0DataRank

Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00082-1

N/A

0.708DataRank · unranked

111 citations

Lingzhi Hong, Muhammad Aminu, Natalie I. Vokes, Pingjun Chen, Morteza Salehjahromi +44 more

Genotype-Specific Differences in Circulating Tumor DNA Levels in Advanced NSCLC

Journal of Thoracic Oncology(2020)10.1016/j.jtho.2020.12.011

N/A

0.678DataRank · unranked

91 citations

Jianjun Zhang, Carol C. Wu, Hai T. Tran, Lerong Li, Lixia Diao +13 more

Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights

Nature Communications(2024)10.1038/s41467-024-47512-0

N/A

0.672DataRank · unranked

87 citations

Muhammad Aminu, Tatiana V. Karpinets, Pingjun Chen, Maliazurina B. Saad, Morteza Salehjahromi +32 more

Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101463

N/A

0.546DataRank · unranked

37 citations

Tatiana V. Karpinets, Sheeba J. Sujit, Mohamed Qayati, Pingjun Chen, Muhammad Aminu +32 more

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

Journal of the American College of Radiology(2021)10.1016/j.jacr.2021.07.014

N/A

0.510DataRank · unranked

29 citations

Keith J. Dreyer, Bibb Allen, Tessa S. Cook, Christopher J. Roth, Andrea Borondy Kitts +12 more

SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers

Patterns(2023)10.1016/j.patter.2023.100777

N/A

0.416DataRank · unranked

15 citations

Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al‐Lazikani +9 more

Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19

Cancers(2022)10.3390/cancers15010275

N/A

0.373DataRank · unranked

11 citations

Divya Yadav, Lingzhi Hong, Elliana Young, Paul Edelkamp, Maliazurina B. Saad +23 more

Heterogenous lung inflammation CT patterns distinguish pneumonia and immune checkpoint inhibitor pneumonitis and complement blood biomarkers in acute myeloid leukemia: proof of concept

Frontiers in Immunology(2023)10.3389/fimmu.2023.1249511

N/A

0.345DataRank · unranked

9 citations

Naval Daver, Myrna C. B. Godoy, Girish S. Shroff, Carol C. Wu, Luis F. Torre-Sada +19 more

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 2: Annotation, Curation, and Contracting

Journal of the American College of Radiology(2021)10.1016/j.jacr.2021.07.015

N/A

0.312DataRank · unranked

7 citations

Keith J. Dreyer, Bibb Allen, Tessa S. Cook, Christopher J. Roth, Andrea Borondy Kitts +12 more

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC

Nature Communications(2025)10.1038/s41467-025-61823-w

N/A

0.312DataRank · unranked

7 citations

Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky +32 more

Quantifying the Effect of 4-Dimensional Computed Tomography–Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Standard-Fractionated Intensity-Modulated Radiation Therapy

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.07.016

N/A

0.269DataRank · unranked

5 citations

Guillaume Cazoulat, Carol C. Wu, Stina Svensson, Lusmeralis Almodovar-Abreu, B. Rigaud +12 more

GazeSearch: Radiology Findings Search Benchmark

arXiv (Cornell University)(2024)10.48550/arxiv.2411.05780

N/A

0.104DataRank · unranked

1 citations

Tien-Phat Nguyen, Ikebe, Yuki, Akash Awasthi, Zhigang Deng, Carol C. Wu +3 more

MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

Journal of Medical Imaging(2025)10.1117/1.jmi.12.2.024505

Top 78%

0.104DataRank

Top 78%1 citations

Karen Drukker, Lubomir M. Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih +9 more

Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients

Cancers(2025)10.3390/cancers17213406

N/A

0.104DataRank · unranked

1 citations

Hui Li, Eman Showkatian, Maliazurina B. Saad, Mohamed Qayati, Sohair Ismail +25 more

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.103054

N/A

0DataRank · unranked

4 citations

Jacob Brecheisen, Carol C. Wu, Hien Van Nguyen, Zhigang Deng, Donald Adjeroh +4 more

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12325

N/A

0DataRank · unranked

38 citations

Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs

arXiv (Cornell University)(2024)10.48550/arxiv.2403.15528

N/A

0DataRank · unranked

0 citations

Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel +4 more

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation

arXiv (Cornell University)(2024)10.48550/arxiv.2411.15413

Top 100%

0DataRank

Top 100%0 citations

Ngoc-Vuong Ho, Nhat-Tan Bui, Thinh Phan, Patel Brijesh, Donald Adjeroh +6 more

Interstitial lung abnormalities after hospitalization for COVID‐19 in patients with cancer: A prospective cohort study

Cancer Medicine(2023)10.1002/cam4.6396

N/A

0DataRank · unranked

4 citations

Christopher Bertini, Isabel Mira‐Avendano, Maryam Kaous, Bela Patel, Saadia A. Faiz +23 more

The Evolution of Radiology Image Annotation in the Era of Large Language Models

Radiology Artificial Intelligence(2025)10.1148/ryai.240631

N/A

0DataRank · unranked

6 citations

Xindi Wang, Carol C. Wu, Felipe Kitamura, George Shih, John Mongan +2 more

Collaborative Integration of AI and Human Expertise to Improve Detection of Chest Radiograph Abnormalities

Radiology Artificial Intelligence(2025)10.1148/ryai.240277

N/A

0DataRank · unranked

3 citations

Ngan Le, Zhigang Deng, Carol C. Wu, Hien Van Nguyen, Akash Awasthi

Deep Learning-Based Cardiac Chamber Segmentation in Magnetic Resonance-Guided Adaptive Radiation Therapy

Advances in Radiation Oncology(2025)10.1016/j.adro.2025.101845

N/A

0DataRank · unranked

0 citations

Yao Ding, Julius Weng, Carol C. Wu, Yao Zhao, Angela Sobremonte +12 more

Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training

Scientific Reports(2025)10.1038/s41598-025-97935-y

N/A

0DataRank · unranked

1 citations

Tuan A. Vu, Ngan Le, Zhigang Deng, Supratik Maulik, Rishi Agrawal +3 more

Development of PET/CT-clinical nomograms for predicting lymph node metastasis in primary lung cancer

European Radiology(2025)10.1007/s00330-025-12166-z

N/A

0DataRank · unranked

0 citations

Wentao Li, Julie Lin, Shuoyang Li, Maliazurina B. Saad, Yuliya Kitsel +17 more

GazeSearch: Radiology Findings Search Benchmark

(2025)10.1109/wacv61041.2025.00020

N/A

0DataRank · unranked

3 citations

Tien-Phat Nguyen, Yuki Ikebe, Akash Awasthi, Zhigang Deng, Carol C. Wu +3 more

Clinical and Cancer-Related Predictors for Venous Thromboembolism in Cancer Patients Presenting to the Emergency Department

Journal of Emergency Medicine(2020)10.1016/j.jemermed.2020.03.039

N/A

0DataRank · unranked

10 citations

Weixin Wu, Jun-Zhong Lin, Rawan Al Soud, Zhi Yang, Zhihuang Hu +15 more

Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption

Computational and Structural Biotechnology Journal(2024)10.1016/j.csbj.2024.11.012

N/A

0DataRank · unranked

8 citations

Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen +1 more

Carol C. Wu

Indexed papers

Top data-sharing exemplar

Papers