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

Matthäus Felsenstein

Humboldt-Universität zu Berlin

ORCID: 0000-0003-3146-8717

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Multiregion whole-exome sequencing of intraductal papillary mucinous neoplasms reveals frequent somatic KLF4 mutations predominantly in low-grade regions”.

Multiregion whole-exome sequencing of intraductal papillary mucinous neoplasms reveals frequent somatic KLF4 mutations predominantly in low-grade regions

Gut(2020)10.1136/gutjnl-2020-321217

N/A

0.670DataRank · unranked

86 citations

Waki Hosoda, Matthäus Felsenstein, Qianqian Song, Johannes G. Reiter, Lily Zheng +23 more

Molecular characterization of organoids derived from pancreatic intraductal papillary mucinous neoplasms

The Journal of Pathology(2020)10.1002/path.5515

N/A

0.581DataRank · unranked

47 citations

María A. Trujillo, Kohei Fujikura, Miao‐Zhen Qiu, Fei Chen, Matthäus Felsenstein +14 more

The basis for future personalized therapy approaches – Machine learning-generated 1-year survival rate, metastatic status and therapy-dependent survival in pancreatic cancer patients

European Journal of Cancer(2025)10.1016/j.ejca.2025.116189

N/A

0DataRank · unranked

3 citations

Haotian Chen, Uwe Pelzer, Richard G. Compton, Gregor Duwe, Mihnea P. Dragomir +13 more