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

Leonard Knoedler

Humboldt-Universität zu Berlin

ORCID: 0009-0009-4279-5669
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 5%percentile
0.361Author 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.

Top 49%9 citations

Leonard Knoedler, Cosima C. Hoch, Martin Kauke‐Navarro, Andreas Kehrer, Leigh Friedman +5 more

Papers

Driven by 4 papers — median percentile 51. Top paper: Dual-Targeted Nanodiscs Revealing the Cross-Talk between Osteogenic Differentiation of Mesenchymal Stem Cells and Macrophages.

58 citations

Chenyan Yu, Wanting Xu, Yuan Xiong, Peng Cheng, Ze Lin +8 more

13 citations

Yizhuo Shen, Federico Repetto, Stav Brown, Leonard Knoedler, Christine J. Ko +10 more

Top 49%9 citations

Leonard Knoedler, Cosima C. Hoch, Martin Kauke‐Navarro, Andreas Kehrer, Leigh Friedman +5 more

3 citations

Gina A. Mackert, Anthony Y. Matar, Angela Chien-Yu Chen, Adriana C. Panayi, Leonard Knoedler +5 more