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

Michael Schnaubelt

Johns Hopkins University

ORCID: 0000-0001-8617-894X
ChemistryBiochemistry, 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 2%percentile
3.4Author 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 →

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.

Proteogenomic data and resources for pan-cancer analysis

Cancer Cell(2023)10.1016/j.ccell.2023.06.009
Top 6%
3.4DataRank
Top 6%241 citations

Yongchao Dou, Felipe da Veiga Leprevost, Yifat Geffen, Anna Calinawan, François Aguet +93 more

Papers

Driven by 12 papers — median percentile 94. Top paper: “Proteogenomic characterization of pancreatic ductal adenocarcinoma”.

Proteogenomic characterization of pancreatic ductal adenocarcinoma

Cell(2021)10.1016/j.cell.2021.08.023
N/A
7.9DataRank · unranked
606 citations

Chen Huang, Daniel Cui Zhou, Yingwei Hu, T. Mamie Lih, Sara R. Savage +95 more

Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer

Nature Communications(2020)10.1038/s41467-020-19976-3
N/A
3.9DataRank · unranked
125 citations

Yingwei Hu, Shisheng Sun, Lijun Chen, Michael Schnaubelt, David Clark +6 more

Proteogenomic data and resources for pan-cancer analysis

Cancer Cell(2023)10.1016/j.ccell.2023.06.009
Top 6%
3.4DataRank
Top 6%241 citations

Yongchao Dou, Felipe da Veiga Leprevost, Yifat Geffen, Anna Calinawan, François Aguet +93 more

Proteogenomic Characterization of Ovarian HGSC Implicates Mitotic Kinases, Replication Stress in Observed Chromosomal Instability

Cell Reports Medicine(2020)10.1016/j.xcrm.2020.100004
N/A
2.4DataRank · unranked
102 citations

Osama A. Arshad, Vladislav Petyuk, Yi Fu, Marina A. Gritsenko, Therese RW Clauss +27 more

Comprehensive proteogenomic characterization of rare kidney tumors

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101547
N/A
0.920DataRank · unranked
46 citations

Lijun Chen, Yi Hsiao, Rahul Mannan, Yuping Zhang, Jie Luo +95 more

Deep learning integrates histopathology and proteogenomics at a pan-cancer level

Cell Reports Medicine(2023)10.1016/j.xcrm.2023.101173
N/A
0.843DataRank · unranked
33 citations

Runyu Hong, Elizabeth G. Demicco, Jimin Tan, Rossana Lazcano, André L. Moreira +95 more

Defining candidate mRNA and protein EV biomarkers to discriminate ccRCC and pRCC from non-malignant renal cells in vitro

Medical Oncology(2021)10.1007/s12032-021-01554-2
N/A
0.425DataRank · unranked
16 citations

Liang Dong, David Clark, Morgan D. Kuczler, Kengo Horie, Leandro F. Moreno +8 more

Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma

Clinical Proteomics(2022)10.1186/s12014-022-09373-x
N/A
0.241DataRank · unranked
4 citations

Yingwei Hu, Lijun Chen, Michael Schnaubelt, Daniel Cui Zhou, Yize Li +15 more

Integrated glycoproteomic characterization of clear cell renal cell carcinoma

Cell Reports(2023)10.1016/j.celrep.2023.112409
N/A
0DataRank · unranked
38 citations

Kyung-Cho Cho, Michael Schnaubelt, Yingwei Hu, Hui Zhang, T. Mamie Lih

Characterization of core fucosylation via sequential enzymatic treatments of intact glycopeptides and mass spectrometry analysis

Nature Communications(2022)10.1038/s41467-022-31472-4
N/A
0DataRank · unranked
39 citations

T. Mamie Lih, Yingwei Hu, Michael Schnaubelt, Shao‐Yung Chen, Yangying Zhou +10 more

Orthogonal Proteomic Platforms and Their Implications for the Stable Classification of High-Grade Serous Ovarian Cancer Subtypes

iScience(2020)10.1016/j.isci.2020.101079
N/A
0DataRank · unranked
36 citations

Betty Friedrich, Michael Schnaubelt, Daniel W. Chan, Hui Zhang, Ruedi Aebersold +1 more

MS-PyCloud: A Cloud Computing-Based Pipeline for Proteomic and Glycoproteomic Data Analyses

Analytical Chemistry(2024)10.1021/acs.analchem.3c01497
N/A
0DataRank · unranked
15 citations

Michael Schnaubelt, Li Chen, Bai Zhang, Trung Hoàng, T. Mamie Lih +3 more