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

Eesha Khare

Massachusetts Institute of Technology

ORCID: 0000-0001-8696-9821
Materials ScienceChemistryDecision Sciences

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 9 papers. Top paper: Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.

44 citations

Chi‐Hua Yu, Constancio González Obeso, Mario Milazzo, David L. Kaplan, Markus J. Buehler +1 more

19 citations

Seth Cazzell, Jake Song, Niels Holten‐Andersen, Markus J. Buehler, Eesha Khare

1 citations

Mario Milazzo, Eesha Khare, Munir S. Skaf, Stavros Thomopoulos, Guy M. Genin +2 more

2 citations

Xiangjun Peng, Zaira Martín‐Moldes, Guy M. Genin, David L. Kaplan, Markus J. Buehler +1 more

0 citations

Amadeus Alcantara, Nic Lee, Munir S. Skaf, Markus J. Buehler, Eesha Khare

13 citations

Amadeus C. S. de Alcântara, Nic Lee, Munir S. Skaf, Markus J. Buehler, Eesha Khare

4 citations

Jaden Luo, Markus J. Buehler, Eesha Khare

8 citations

Darshdeep S. Grewal, Markus J. Buehler, Eesha Khare

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences

Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials(2021)10.1016/j.jmbbm.2021.104921
N/A
0DataRank · unranked
34 citations

Eesha Khare, Om Narayan, Rachael N. Parker, David L. Kaplan, Markus J. Buehler +1 more