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

Kan Shao

Central South University

ORCID: 0000-0002-5512-2377

Also affiliated with Indiana University Bloomington, Jinling Institute of Technology

Biochemistry, Genetics and Molecular BiologyMathematicsEnvironmental Science

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 7 papers. Top paper: “Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD”.

Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD

Environmental Health Perspectives(2023)10.1289/ehp12677
N/A
0.354DataRank · unranked
6 citations

Yun Zhou, Chao Ji, James E. Klaunig, Kan Shao, Qiran Chen

Benchmark dose modeling for epidemiological dose–response assessment using prospective cohort studies

Risk Analysis(2023)10.1111/risa.14196
N/A
0.208DataRank · unranked
3 citations

Yun Zhou, Pengcheng Xun, Kan Shao, Francesco De Pretis

Incorporating Prior Genomic Dose-Response Data to Support the Benchmark Dose Estimation of Toxicogenomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.20.500899
N/A
0DataRank · unranked
0 citations

Kan Shao, Chao Ji

Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cancer dose-response assessment

Environment International(2023)10.1016/j.envint.2023.107959
N/A
0DataRank · unranked
18 citations

Kan Shao, Weihsueh A. Chiu, Suji Jang

Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose–Response Uncertainty

Risk Analysis(2020)10.1111/risa.13537
N/A
0DataRank · unranked
17 citations

Todd Blessinger, Kan Shao, Bruce C. Allen, Louis Olszyk, Jerry Davis +2 more

The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics

Chemical Research in Toxicology(2023)10.1021/acs.chemrestox.3c00088
N/A
0DataRank · unranked
2 citations

Kan Shao, Chao Ji

A mode of action-based probabilistic framework of dose-response assessment for nonmutagenic liver carcinogens: a case study of PCB-126

Toxicological Sciences(2023)10.1093/toxsci/kfad091
N/A
0DataRank · unranked
1 citations

Qiran Chen, James E. Klaunig, Kan Shao, Yun Zhou