Frederick M. Howard

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 3%percentile

1.2Author DataRank

Indexed papers

2in 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 2 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 impact of race and age on response to neoadjuvant therapy and long-term outcomes in Black and White women with early-stage breast cancer

Breast Cancer Research and Treatment(2023)10.1007/s10549-023-06943-x

Top 27%

0.737DataRank

Top 27%18 citations

Jori Sheade, Fangyuan Zhao, Frederick M. Howard, Nora Jaskowiak, Jennifer F. Tseng +6 more

Papers

Driven by 32 papers — median percentile 66. Top paper: “Datopotamab–deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial”.

Datopotamab–deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial

Nature Medicine(2024)10.1038/s41591-024-03267-1

N/A

1.4DataRank · unranked

43 citations

Meghna S. Trivedi, Christina Yau, Rita Nanda, Hope S. Rugo, Marie Davidian +55 more

The impact of race and age on response to neoadjuvant therapy and long-term outcomes in Black and White women with early-stage breast cancer

Breast Cancer Research and Treatment(2023)10.1007/s10549-023-06943-x

Top 27%

0.737DataRank

Top 27%18 citations

Jori Sheade, Fangyuan Zhao, Frederick M. Howard, Nora Jaskowiak, Jennifer F. Tseng +6 more

Validation of the RSClin risk calculator in the National Cancer Data Base

Cancer(2023)10.1002/cncr.35163

Top 40%

0.479DataRank

Top 40%8 citations

Asim Dhungana, Fangyuan Zhao, Nan Chen, Sarah P. Shubeck, Olwen Hahn +8 more

The Impact of Race and Age on Response to Neoadjuvant Therapy and Long-Term Outcomes in Black and White Women with Early-Stage Breast Cancer

HAL (Le Centre pour la Communication Scientifique Directe)(2023)10.21203/rs.3.rs-2667554/v1

N/A

0.396DataRank · unranked

13 citations

Jori Sheade, Fangyuan Zhao, Frederick M. Howard, Nora Jaskowiak, Jennifer F. Tseng +6 more

Development and validation of a clinical breast cancer tool for accurate prediction of recurrence

npj Breast Cancer(2024)10.1038/s41523-024-00651-5

N/A

0.373DataRank · unranked

11 citations

Augustin Vannier, Fangyuan Zhao, Jincong Q. Freeman, Poornima Saha, Megan Sullivan +7 more

Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study

JMIR Cancer(2024)10.2196/55438

N/A

0.269DataRank · unranked

5 citations

Fangyuan Zhao, Frederick M. Howard, Rita Nanda, Olufunmilayo I. Olopade, Dezheng Huo +1 more

Phase II study of pembrolizumab plus mifepristone in patients with advanced HER2-negative breast cancer.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.1095

N/A

0.104DataRank · unranked

1 citations

Elena Michaels, Poornima Saha, Murtuza Rampurwala, Olwen Hahn, Frederick M. Howard +5 more

Deep learning generates synthetic cancer histology for explainability and education

npj Precision Oncology(2023)10.1038/s41698-023-00399-4

N/A

0DataRank · unranked

72 citations

Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev +18 more

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

npj Breast Cancer(2023)10.1038/s41523-023-00530-5

N/A

0DataRank · unranked

62 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population

Radiology Artificial Intelligence(2023)10.1148/ryai.220299

N/A

0DataRank · unranked

24 citations

Anna Woodard, Frederick M. Howard, Fangyuan Zhao, Toshio F. Yoshimatsu, Yonglan Zheng +9 more

Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer

Magnetic Resonance Imaging(2023)10.1016/j.mri.2023.08.003

N/A

0DataRank · unranked

8 citations

Federico Pineda, Frederick M. Howard, Xiaobing Fan, Rita Nanda, Hiroyuki Abé +3 more

A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancer.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.e13103

N/A

0DataRank · unranked

3 citations

Poornima Saha, Murtuza Rampurwala, Sailaja Kamaraju, Olwen Hahn, Frederick M. Howard +8 more

Treatment outcomes in patients with discordant recurrence score and RSClin risk predictions.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.574

N/A

0DataRank · unranked

0 citations

Asim Dhungana, Fangyuan Zhao, Nan Chen, Sarah P. Shubeck, Olwen Hahn +8 more

Comparisons of telemedicine and in-person visits: Utilization, oncology services and satisfaction among patients with breast cancer.

JCO Oncology Practice(2023)10.1200/op.2023.19.11_suppl.517

N/A

0DataRank · unranked

0 citations

Fangyuan Zhao, Frederick M. Howard, Rita Nanda, Olufunmilayo I. Olopade, Dezheng Huo +1 more

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

BMC Bioinformatics(2024)10.1186/s12859-024-05758-x

N/A

0DataRank · unranked

68 citations

Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Antonio Sacco +5 more

Evaluation of large language models as a diagnostic aid for complex medical cases

Frontiers in Medicine(2024)10.3389/fmed.2024.1380148

N/A

0DataRank · unranked

56 citations

Naing Lin Shan, Anran Li, Alexander T. Pearson, Lajos Pusztai, Frederick M. Howard +1 more

Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

EBioMedicine(2024)10.1016/j.ebiom.2024.105276

N/A

0DataRank · unranked

14 citations

James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard +7 more

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.22.586306

N/A

0DataRank · unranked

3 citations

Hanna M. Hieromnimon, Siddhi Ramesh, James M. Dolezal, Sara Kochanny, Qianchen Zhang +10 more

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

UNC Libraries(2024)10.17615/nbrq-z246

N/A

0DataRank · unranked

0 citations

Da-Liang Huo, O. I. Olopade, Charles M. Perou, Rachita Nanda, Ning Chen +8 more

Retrospective evaluation of adjuvant capecitabine dosing patterns in triple negative breast cancer

Journal of Oncology Pharmacy Practice(2024)10.1177/10781552241289581

N/A

0DataRank · unranked

0 citations

Elena Michaels, Eric C. Polley, Peter H. O’Donnell, Frederick M. Howard, Olwen Hahn +5 more

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas

Oral Oncology(2025)10.1016/j.oraloncology.2025.107207

N/A

0DataRank · unranked

9 citations

Anna Trzcinska, Frank Wen, Frederick M. Howard, James M. Dolezal, Emma Dyer +19 more

A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancer

Breast Cancer Research and Treatment(2025)10.1007/s10549-025-07626-5

N/A

0DataRank · unranked

2 citations

Margarite D. Matossian, Poornima Saha, Murtuza Rampurwala, Sailaja Kamaraju, Olwen Hahn +8 more

Discordance of Radiologic and Pathologic Complete Response in Patients with Triple-negative Breast Cancer Undergoing Neoadjuvant Chemotherapy

Academic Radiology(2025)10.1016/j.acra.2025.12.004

N/A

0DataRank · unranked

1 citations

Wenji Guo, Dezheng Huo, Rita Nanda, Kirti Kulkarni, Frederick M. Howard +1 more

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer

medRxiv(2025)10.1101/2025.08.25.25334393

N/A

0DataRank · unranked

0 citations

James M. Dolezal, Hanna M. Hieromnimon, Sara J. Venters, Sara Kochanny, Anran Li +31 more

Machine Learning–Guided Adjuvant Treatment of Head and Neck Cancer

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.25881

N/A

0DataRank · unranked

150 citations

Sara Kochanny, Matthew Koshy, Michael T. Spiotto, Alexander T. Pearson, Frederick M. Howard

K‐means clustering‐based analysis of quantitative ultrafast DCE‐MRI for predicting breast cancer response to neoadjuvant chemotherapy

Journal of Applied Clinical Medical Physics(2025)10.1002/acm2.70439

N/A

0DataRank · unranked

0 citations

Xiaobing Fan, Milica Medved, Frederick M. Howard, R Nanda, Hiroyuki Abe +5 more

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Nature Communications(2021)10.1038/s41467-021-24698-1

N/A

0DataRank · unranked

293 citations

James M. Dolezal, Sara Kochanny, Jefree J. Schulte, Heather Chen, Lara R. Heij +8 more

Validation of the RSClin risk calculator using the National Cancer Database (NCDB).

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.15_suppl.549

N/A

0DataRank · unranked

0 citations

Alexander T. Pearson, Rita Nanda, Olufunmilayo I. Olopade, Dezheng Huo, Frederick M. Howard

Clinical trials of immunotherapy in triple-negative breast cancer

Breast Cancer Research and Treatment(2022)10.1007/s10549-022-06665-6

N/A

0DataRank · unranked

55 citations

Alexander T. Pearson, Rita Nanda, Frederick M. Howard

Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy

Academic Radiology(2022)10.1016/j.acra.2022.02.008

N/A

0DataRank · unranked

9 citations

Federico Pineda, Frederick M. Howard, Elle Hill, Teodora Szasz, Rabia Safi +6 more

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.07.499039

N/A

0DataRank · unranked

7 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

npj Digital Medicine(2023)10.1038/s41746-023-00819-6

N/A

0DataRank · unranked

675 citations

Frederick M. Howard, Nikolay S. Markov, Emma Dyer, Siddhi Ramesh, Yuan Luo +2 more

Frederick M. Howard

Indexed papers

Top data-sharing exemplar

Papers