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

Justin Eilertsen

American Mathematical Society

ORCID: 0000-0001-5600-9395

Biochemistry, Genetics and Molecular BiologyComputer SciencePhysics and Astronomy

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

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

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