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

Lukasz G. Migas

Vanderbilt University

ORCID: 0000-0002-1884-6405

Also affiliated with Delft University of Technology

ChemistryBiochemistry, Genetics and Molecular BiologyEngineering

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
0.344Author 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.

A Lipid Atlas of the Human Kidney

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.07.487155
Top 51%
0.344DataRank
Top 51%6 citations

Léonore Tideman, Elizabeth K. Neumann, Nathan Heath Patterson, Lukasz G. Migas, Madeline E. Colley +18 more

Papers

Driven by 20 papers — median percentile 49. Top paper: Imaging mass spectrometry reveals complex lipid distributions across Staphylococcus aureus biofilm layers.

N/A
0.919DataRank · unranked
25 citations

Andy Weiss, Lukasz G. Migas, Jeffrey A. Freiberg, Katerina Djambazova, Elizabeth K. Neumann +5 more

30 citations

Michael T. Eadon, Matthias Kretzler, Jonathan Himmelfarb, Blue B. Lake, Kun Zhang +92 more

49 citations

Lukasz G. Migas, Katerina Djambazova, Nathan Heath Patterson, Richard M. Caprioli, Jeffrey M. Spraggins +2 more

10 citations

Luzhe Huang, Nir Pillar, Yuzhu Li, Yuhang Li, Lukasz G. Migas +4 more

A Lipid Atlas of the Human Kidney

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.07.487155
Top 51%
0.344DataRank
Top 51%6 citations

Léonore Tideman, Elizabeth K. Neumann, Nathan Heath Patterson, Lukasz G. Migas, Madeline E. Colley +18 more

N/A
0.241DataRank · unranked
4 citations

Roy Lardenoije, Lukasz G. Migas, Claire F. Scott, Cody R. Marshall, Morad C. Malek +12 more

25 citations

Ankita Kotnala, Lukasz G. Migas, Nathan Heath Patterson, Léonore Tideman, Dongfeng Cao +8 more

N/A
0DataRank · unranked
9 citations

Nathan Heath Patterson, Lukasz G. Migas, Elizabeth K. Neumann, Jamie Allen, Katherine N. Gibson‐Corley +5 more

19 citations

Felipe Moser, Léonore Tideman, Lukasz G. Migas, Katerina Djambazova, Madeline E. Colley +9 more

8 citations

Lukasz G. Migas, Katerina Djambazova, Madeline E. Colley, Raf Van de Plas, Jeffrey M. Spraggins +1 more

2 citations

Lukasz G. Migas, Jacqueline M. Van Ardenne, Eric P. Skaar, Jeffrey M. Spraggins, Raf Van de Plas +1 more

3 citations

Melissa A. Farrow, Lukasz G. Migas, Martin Dufresne, Madeline E. Colley, Jamie Allen +5 more

0 citations

Martin Dufresne, Madeline E. Colley, Lukasz G. Migas, Raf Van de Plas, Jeffrey M. Spraggins +1 more

126 citations

Dustin R. Klein, Lukasz G. Migas, Elizabeth K. Neumann, Emilio Rivera, Raf Van de Plas +3 more

0 citations

Nathan Heath Patterson, Lukasz G. Migas, Allison B. Esselman, Felipe Moser, Jeffrey M. Spraggins +2 more

3 citations

Lukasz G. Migas, Katerina Djambazova, Nathan Heath Patterson, Richard M. Caprioli, Jeffrey M. Spraggins +2 more

29 citations

Nathan Heath Patterson, Jamie Allen, Lukasz G. Migas, Haichun Yang, Maya Brewer +10 more

0 citations

Katerina Djambazova, Dustin R. Klein, Martin Dufresne, Lukasz G. Migas, Raf Van de Plas +3 more

0 citations

Katerina Djambazova, Dustin R. Klein, Martin Dufresne, Lukasz G. Migas, Raf Van de Plas +3 more

36 citations

Nathan Heath Patterson, Lukasz G. Migas, Martin Dufresne, Katerina Djambazova, Madeline E. Colley +3 more