🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Fangyuan Zhao

Chicago Department of Public Health

ORCID: 0000-0001-9776-3677

Also affiliated with Peking University, University of Chicago, Peking University Cancer Hospital, Ministry of Education

Biochemistry, Genetics and Molecular BiologyMedicine

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

3in 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 3 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 →

Top data-sharing exemplar

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 13 papers — median percentile 66. Top paper: “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”.

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

Racial disparities in survival outcomes among breast cancer patients by molecular subtypes

Breast Cancer Research and Treatment(2021)10.1007/s10549-020-05984-w
N/A
0.581DataRank · unranked
47 citations

Brenda Copley, Qun Niu, Fang Liu, Julie A. Johnson, Thomas Sutton +11 more

Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach

Human Molecular Genetics(2022)10.1093/hmg/ddac102
N/A
0.500DataRank · unranked
27 citations

Fangyuan Zhao, Thomas U. Ahearn, Kathryn L. Lunetta, Melissa A. Troester, Zhaohui Du +52 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

Development and external validation of a breast cancer absolute risk prediction model in Chinese population

Breast Cancer Research(2021)10.1186/s13058-021-01439-2
N/A
0.434DataRank · unranked
17 citations

Jun Lv, Canqing Yu, Yu Guo, Zheng Bian, Yizhen Hu +81 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

Polygenic Risk Scores for Prediction of Breast Cancer Risk in Women of African Ancestry: a Cross-Ancestry Approach

medRxiv(2021)10.1101/2021.12.16.21266424
N/A
0.165DataRank · unranked
2 citations

Fangyuan Zhao, Thomas U. Ahearn, Kathryn L. Lunetta, Melissa A. Troester, Zhaohui Du +52 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

Racial/ethnic differences in telemedicine utilization and satisfaction among patients with breast cancer during the COVID-19 pandemic.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.28_suppl.384
N/A
0DataRank · unranked
0 citations

Fangyuan Zhao, Rita Nanda, Olufunmilayo I. Olopade, Dezheng Huo, Jincong Q. Freeman

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

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