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

Alexis Allot

Montreal Neurological Institute and Hospital

ORCID: 0000-0002-2706-9054
Biochemistry, Genetics and Molecular BiologyComputer ScienceNeuroscience

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 1%percentile
13.8Author DataRank

Indexed papers

5in 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 5 indexed papers 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.

LitCovid: an open database of COVID-19 literature

Nucleic Acids Research(2020)10.1093/nar/gkaa952
Top 3%
6.9DataRank
Top 3%276 citations

Alexis Allot, ZHIYONG LU, Qingyu Chen

Papers

Driven by 15 papers — median percentile 87. Top paper: “LitCovid: an open database of COVID-19 literature”.

LitCovid: an open database of COVID-19 literature

Nucleic Acids Research(2020)10.1093/nar/gkaa952
Top 3%
6.9DataRank
Top 3%276 citations

Alexis Allot, ZHIYONG LU, Qingyu Chen

PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge

Nucleic Acids Research(2024)10.1093/nar/gkae235
Top 6%
3.8DataRank
Top 6%167 citations

Alexis Allot, Po‐Ting Lai, Robert Leaman, Shubo Tian, Ling Luo +5 more

Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing

Annual Review of Biomedical Data Science(2021)10.1146/annurev-biodatasci-021821-061045
N/A
2.6DataRank · unranked
65 citations

Robert Leaman, Alexis Allot, Ling Luo, Chih-Hsuan Wei, Shankai Yan +2 more

LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2022)10.1109/tcbb.2022.3173562
Top 13%
1.6DataRank
Top 13%40 citations

Jingcheng Du, Alexis Allot, ZHIYONG LU, Qingyu Chen

LitCovid in 2022: an information resource for the COVID-19 literature

Nucleic Acids Research(2022)10.1093/nar/gkac1005
Top 22%
0.909DataRank
Top 22%31 citations

Alexis Allot, Robert Leaman, Chih-Hsuan Wei, Elaheh Aghaarabi, John J. Guerrerio +3 more

Archive of PubTator 3.0 source code and trained models

PubMed(2024)10.48550/arxiv.2401.11048
Top 32%
0.613DataRank
Top 32%3 citations

Alexis Allot, Po‐Ting Lai, Robert Leaman, Shubo Tian, Ling Luo +5 more

tmVar 3.0: an improved variant concept recognition and normalization tool

Bioinformatics(2022)10.1093/bioinformatics/btac537
N/A
0DataRank · unranked
25 citations

Alexis Allot, Kevin Riehle, Aleksandar Milosavljević, ZHIYONG LU, Chih-Hsuan Wei

Comprehensively identifying Long Covid articles with human-in-the-loop machine learning

Patterns(2022)10.1016/j.patter.2022.100659
N/A
0DataRank · unranked
5 citations

Rezarta Islamaj, Alexis Allot, Qingyu Chen, W. John Wilbur, ZHIYONG LU +1 more

Tracking genetic variants in the biomedical literature using LitVar 2.0

Nature Genetics(2023)10.1038/s41588-023-01414-x
N/A
0DataRank · unranked
40 citations

Chih-Hsuan Wei, Lon Phan, Timothy Hefferon, Melissa Landrum, Heidi L. Rehm +2 more

AI Workflow, External Validation, and Development in Eye Disease Diagnosis

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.17204
N/A
0DataRank · unranked
10 citations

Tiarnán D L Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong +34 more

Predicting risk of late age-related macular degeneration using deep learning

npj Digital Medicine(2020)10.1038/s41746-020-00317-z
N/A
0DataRank · unranked
69 citations

Tiarnán D L Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong +3 more

Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability

PLoS Biology(2020)10.1371/journal.pbio.3000716
N/A
0DataRank · unranked
13 citations

Chih-Hsuan Wei, Alexis Allot, ZHIYONG LU, Robert Leaman

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa302
N/A
0DataRank · unranked
41 citations

Tiarnán D L Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally +12 more

LitSuggest: a web-based system for literature recommendation and curation using machine learning

Nucleic Acids Research(2021)10.1093/nar/gkab326
N/A
0DataRank · unranked
63 citations

Kyubum Lee, Qingyu Chen, Ling Luo, ZHIYONG LU, Alexis Allot

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Database(2022)10.1093/database/baac069
N/A
0DataRank · unranked
41 citations

Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Fang Li +34 more