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

Nancy A. Monteiro‐Riviere

Kansas State University

ORCID: 0000-0002-0132-0861
Pharmacology, Toxicology and PharmaceuticsMaterials ScienceMedicineAgricultural 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 2%percentile
1.9Author 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.

Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

ACS Nano(2023)10.1021/acsnano.3c04037
Top 11%
1.9DataRank
Top 11%87 citations

Long Yuan, Wei‐Chun Chou, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more

Papers

Driven by 7 papers — median percentile 89. Top paper: “Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice”.

Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

ACS Nano(2023)10.1021/acsnano.3c04037
Top 11%
1.9DataRank
Top 11%87 citations

Long Yuan, Wei‐Chun Chou, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more

Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches

International Journal of Nanomedicine(2022)10.2147/ijn.s344208
N/A
0DataRank · unranked
173 citations

Wei‐Chun Chou, Yi-Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere, Jim E Riviere +1 more

Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats

Particle and Fibre Toxicology(2022)10.1186/s12989-022-00489-4
N/A
0DataRank · unranked
61 citations

Yi‐Hsien Cheng, Jim E. Riviere, Nancy A. Monteiro‐Riviere, Wolfgang G. Kreyling, Zhoumeng Lin +1 more

Silver nanoparticles do not influence stem cell differentiation but cause minimal toxicity

UNC Libraries(2020)10.17615/t1ee-b966
N/A
0DataRank · unranked
0 citations

Meghan E. Samberg, Elizabeth G. Loboa, Steven J. Oldenburg, Nancy A. Monteiro‐Riviere

Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models

Journal of Controlled Release(2024)10.1016/j.jconrel.2024.08.015
N/A
0DataRank · unranked
86 citations

Wei‐Chun Chou, Qiran Chen, Long Yuan, V. Kamineni, Yashas Kuchimanchi +5 more

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media

ACS Nano(2025)10.1021/acsnano.5c08608
N/A
0DataRank · unranked
25 citations

Keyuan Li, Kunpeng Chen, Alejandro Borboa-Pimentel, C.J. Chou, R. Rama +10 more

An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice

Journal of Controlled Release(2023)10.1016/j.jconrel.2023.07.040
N/A
0DataRank · unranked
171 citations

Qiran Chen, Long Yuan, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more