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

Santiago Schnell

Dartmouth College

ORCID: 0000-0002-9477-3914

Also affiliated with Institute of Cell Biology, Dartmouth Hospital, Toronto Metropolitan University

Biochemistry, 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 3%percentile
0.963Author 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.

EnzymeML—a data exchange format for biocatalysis and enzymology

The FEBS Journal(2021)10.1111/febs.16318
Top 21%
0.963DataRank
Top 21%33 citations

Colin Halupczok, Jens Lohmann, Neil Swainston, Carsten Kettner, Frank T. Bergmann +5 more

Papers

Driven by 8 papers — median percentile 79. Top paper: “EnzymeML—a data exchange format for biocatalysis and enzymology”.

EnzymeML—a data exchange format for biocatalysis and enzymology

The FEBS Journal(2021)10.1111/febs.16318
Top 21%
0.963DataRank
Top 21%33 citations

Colin Halupczok, Jens Lohmann, Neil Swainston, Carsten Kettner, Frank T. Bergmann +5 more

Applying the quasi-steady-state approximation to the autocatalytic zymogen activation: A novel general methodology for scaling analysis

ChemRxiv(2020)10.26434/chemrxiv.8847596.v4
N/A
0DataRank · unranked
0 citations

Malgorzata Tyczynska, Santiago Schnell, Justin Eilertsen

Network representations and methods for the analysis of chemical and biochemical pathways

UNC Libraries(2020)10.17615/6h2a-b558
N/A
0DataRank · unranked
0 citations

Conner I. Sandefur, Maya Mincheva, Santiago Schnell

Explaining inter-lab variance in C. elegans N2 lifespan: Making a case for standardized reporting to enhance reproducibility

Experimental Gerontology(2021)10.1016/j.exger.2021.111622
N/A
0DataRank · unranked
17 citations

Joseph Cavataio, Yasmeen Berry, Brandon Vang, Anirudh Maddali, Richard Sukpraphrute +3 more

Concentration sensing in crowded environments

Biophysical Journal(2021)10.1016/j.bpj.2021.02.035
N/A
0DataRank · unranked
3 citations

Santiago Schnell, Wylie Stroberg

On the quasi-steady-state approximation in an open Michaelis–Menten reaction mechanism

AIMS Mathematics(2021)10.3934/math.2021398
N/A
0DataRank · unranked
1 citations

Marc R. Roussel, Santiago Schnell, Sebastian Walcher, Mathematik A, RWTH Aachen, D-52056 Aachen, Germany, Justin Eilertsen

Stochastic enzyme kinetics and the quasi-steady-state reductions: Application of the slow scale linear noise approximation à la Fenichel

Journal of Mathematical Biology(2022)10.1007/s00285-022-01768-6
N/A
0DataRank · unranked
5 citations

Kashvi Srivastava, Santiago Schnell, Justin Eilertsen

Reciprocal regulatory balance within the CLEC16A–RNF41 mitophagy complex depends on an intrinsically disordered protein region

Journal of Biological Chemistry(2023)10.1016/j.jbc.2023.103057
N/A
0DataRank · unranked
4 citations

Jie Zhu, Biaoxin Chai, Michael P. Vincent, Nuli Xie, Vaibhav Sidarala +6 more