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

Shang Gao

Jiangsu University of Science and Technology

ORCID: 0009-0002-3961-5064
Biochemistry, Genetics and Molecular BiologyAgricultural and Biological 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 4 papers. Top paper: “Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding”.

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding

Analytical Biochemistry(2022)10.1016/j.ab.2022.114878
N/A
0DataRank · unranked
8 citations

Long-Chen Shen, Yuan-Hao Jiang, Shang Gao, Jiangning Song, Dong‐Jun Yu +1 more

Assessing comparative importance of DNA sequence and epigenetic modifications on gene expression using a deep convolutional neural network

Computational and Structural Biotechnology Journal(2022)10.1016/j.csbj.2022.07.014
N/A
0DataRank · unranked
7 citations

Jalees Rehman, Yang Dai, Shang Gao

An introductory tutorial to the SEEKR2 (Simulation enabled estimation of kinetic rates v. 2) multiscale milestoning software [Article v1.0]

ChemRxiv(2023)10.26434/chemrxiv-2023-kd1wt
N/A
0DataRank · unranked
1 citations

Lane Votapka, Gary Huber, Shang Gao, Rommie E. Amaro, Anupam Anand Ojha

An Introductory Tutorial to the SEEKR2 (Simulation Enabled Estimation of Kinetic Rates v. 2) Multiscale Milestoning Software [Article v1.0]

Living Journal of Computational Molecular Science(2024)10.33011/livecoms.5.1.2359
N/A
0DataRank · unranked
2 citations

Lane Votapka, Gary Huber, Shang Gao, Rommie E. Amaro, Anupam Anand Ojha