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

Aziz Nazha

Thomas Jefferson University

ORCID: 0000-0002-6695-7994

Also affiliated with Sidney Kimmel Cancer Center

MedicineBiochemistry, Genetics and Molecular Biology

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 4%percentile

0.924Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach

JCO Clinical Cancer Informatics(2023)10.1200/cci.22.00143

Top 22%

0.924DataRank

Top 22%21 citations

Aziz Nazha, Nikita Agrawal, M. Hühn, John Shanahan, Nelson Hamerschlak +4 more

Papers

Driven by 15 papers — median percentile 78. Top paper: “Finding consistency in classifications of myeloid neoplasms: a perspective on behalf of the International Workshop for Myelodysplastic Syndromes”.

Finding consistency in classifications of myeloid neoplasms: a perspective on behalf of the International Workshop for Myelodysplastic Syndromes

Leukemia(2022)10.1038/s41375-022-01724-9

N/A

0.926DataRank · unranked

28 citations

Jan Philipp Bewersdorf, Rena Buckstein, Mikkael A. Sekeres, David P. Steensma, Uwe Platzbecker +44 more

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach

JCO Clinical Cancer Informatics(2023)10.1200/cci.22.00143

Top 22%

0.924DataRank

Top 22%21 citations

Aziz Nazha, Nikita Agrawal, M. Hühn, John Shanahan, Nelson Hamerschlak +4 more

An agenda to advance research in myelodysplastic syndromes: a TOP 10 priority list from the first international workshop in MDS

Blood Advances(2022)10.1182/bloodadvances.2022008747

N/A

0.525DataRank · unranked

11 citations

Omar Abdel-Wahab, Andrew H. Wei, Michael R. Savona, Mina L. Xu, Zhuoer Xie +45 more

Artificial intelligence in hematology

Blood(2025)10.1182/blood.2025029876

N/A

0.498DataRank · unranked

19 citations

Olivier Elemento, Sanjay Ahuja, Barbara D. Lam, Moses E. Miles, Roni Shouval +5 more

Novel Machine Learning Can Predict Acute Asthma Exacerbation

CHEST Journal(2021)10.1016/j.chest.2020.12.051

N/A

0DataRank · unranked

98 citations

Chao-Ping Wu, Amy Attaway, Peng Zhang, Aziz Nazha, Joe Zein

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia

Blood(2021)10.1182/blood.2020010603

N/A

0DataRank · unranked

80 citations

Arda Durmaz, Carmelo Gurnari, Ashwin Kishtagari, Manja Meggendorfer, Cassandra M Kerr +19 more

Personalized Prediction of Hospital Mortality in COVID-19–Positive Patients

Mayo Clinic Proceedings Innovations Quality & Outcomes(2021)10.1016/j.mayocpiqo.2021.05.001

N/A

0DataRank · unranked

11 citations

Jacob Shreve, Nathan Radakovich, Abhijit Duggal, Lara Jehi, Aziz Nazha +1 more

Patient-specific comorbidities as prognostic variables for survival in myelofibrosis

Blood Advances(2022)10.1182/bloodadvances.2021006318

N/A

0DataRank · unranked

10 citations

Cosmin A. Bejan, Shilin Zhao, Ameet Patel, Ashwin Kishtagari, Travis Spaulding +14 more

Classification, risk stratification and response assessment in myelodysplastic syndromes/neoplasms (MDS): A state-of-the-art report on behalf of the International Consortium for MDS (icMDS)

Blood Reviews(2023)10.1016/j.blre.2023.101128

N/A

0DataRank · unranked

31 citations

Jan Philipp Bewersdorf, Zhuoer Xie, Matteo Giovanni Della Porta, Rami S. Komrokji, Mina L. Xu +43 more

Contemporary Approach to the Diagnosis and Classification of Myelodysplastic Neoplasms/Syndromes—Recommendations From the International Consortium for Myelodysplastic Neoplasms/Syndromes (MDS [icMDS])

Modern Pathology(2024)10.1016/j.modpat.2024.100615

N/A

0DataRank · unranked

12 citations

Savanah D. Gisriel, Amer M. Zeidan, John M. Bennett, Rafael Bejar, Jan Philipp Bewersdorf +48 more

Special considerations in the management of adult patients with acute leukaemias and myeloid neoplasms in the COVID-19 era: recommendations from a panel of international experts

The Lancet Haematology(2020)10.1016/s2352-3026(20)30205-2

N/A

0DataRank · unranked

97 citations

Prajwal Boddu, Mrinal M. Patnaik, Jan Philipp Bewersdorf, Maximilian Stahl, Raajit K. Rampal +47 more

A proposed path to explaining the unexplained anemia of aging

The Journals of Gerontology Series A(2025)10.1093/gerona/glaf251

N/A

0DataRank · unranked

2 citations

Amy E. DeZern, Janis L. Abkowitz, Andrew Artz, Isabel Beerman, Kelly L. Bolton +20 more

Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes

Blood(2020)10.1182/blood.2020005488

N/A

0DataRank · unranked

76 citations

Ran Zhao, Hassan Awada, Cassandra M Kerr, Inom Mirzaev, Sunisa Kongkiatkamon +8 more

Context dependent effects of ascorbic acid treatment in TET2 mutant myeloid neoplasia

Communications Biology(2020)10.1038/s42003-020-01220-9

N/A

0DataRank · unranked

55 citations

Edward F. Greenberg, Metis Hasipek, Shi Chen, Xiaochen Liu, Cassandra M Kerr +16 more

Large granular lymphocytic leukaemia after solid organ and haematopoietic stem cell transplantation

British Journal of Haematology(2020)10.1111/bjh.16336

N/A

0DataRank · unranked

16 citations

Reda Z. Mahfouz, Jibran Durrani, Ashwin Kishtagari, Deepa Jagadeesh, Alan Lichtin +11 more