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

Avlant Nilsson

Science for Life Laboratory

ORCID: 0000-0002-9476-4516

Also affiliated with Karolinska Institutet

EngineeringBiochemistry, Genetics and Molecular Biology

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

4.4Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

An atlas of human metabolism

Science Signaling(2020)10.1126/scisignal.aaz1482

Top 5%

4.4DataRank

Top 5%483 citations

Pınar Kocabaş, Hao Wang, Pierre‐Etienne Cholley, Daniel Cook, Avlant Nilsson +15 more

Papers

Driven by 11 papers — median percentile 95. Top paper: “An atlas of human metabolism”.

An atlas of human metabolism

Science Signaling(2020)10.1126/scisignal.aaz1482

Top 5%

4.4DataRank

Top 5%483 citations

Pınar Kocabaş, Hao Wang, Pierre‐Etienne Cholley, Daniel Cook, Avlant Nilsson +15 more

Artificial neural networks enable genome-scale simulations of intracellular signaling

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.24.461703

N/A

0DataRank · unranked

3 citations

Joshua M. Peters, Bryan D. Bryson, Douglas A. Lauffenburger, Avlant Nilsson

Artificial neural networks enable genome-scale simulations of intracellular signaling

Nature Communications(2022)10.1038/s41467-022-30684-y

N/A

0DataRank · unranked

45 citations

Joshua M. Peters, Nikolaos Meimetis, Bryan D. Bryson, Douglas A. Lauffenburger, Avlant Nilsson

Autoencoder Model for Translating Omics Signatures

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.08.544243

N/A

0DataRank · unranked

0 citations

Krista M. Pullen, Daniel Y. Zhu, Avlant Nilsson, Trong Nghia Hoang, Sara Magliacane +2 more

Inference of drug off-target effects on cellular signaling using Interactome-Based Deep Learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.08.561429

N/A

0DataRank · unranked

0 citations

Douglas A. Lauffenburger, Avlant Nilsson, Nikolaos Meimetis

Inference of drug off-target effects on cellular signaling using interactome-based deep learning

iScience(2024)10.1016/j.isci.2024.109509

N/A

0DataRank · unranked

11 citations

Douglas A. Lauffenburger, Avlant Nilsson, Nikolaos Meimetis

AutoTransOP: translating omics signatures without orthologue requirements using deep learning

npj Systems Biology and Applications(2024)10.1038/s41540-024-00341-9

N/A

0DataRank · unranked

5 citations

Krista M. Pullen, Daniel Y. Zhu, Avlant Nilsson, Trong Nghia Hoang, Sara Magliacane +2 more

Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.29.591541

N/A

0DataRank · unranked

2 citations

Andrea Garmilla, Avlant Nilsson, Hratch Baghdassarian, Khloe S. Gordon, Louise G. Lima +5 more

Towards an interpretable deep learning model of cancer

npj Precision Oncology(2025)10.1038/s41698-025-00822-y

N/A

0DataRank · unranked

9 citations

Nikolaos Meimetis, Douglas A. Lauffenburger, Avlant Nilsson

Protocol to infer off-target effects of drugs on cellular signaling using interactome-based deep learning

STAR Protocols(2025)10.1016/j.xpro.2024.103573

N/A

0DataRank · unranked

2 citations

Douglas A. Lauffenburger, Avlant Nilsson, Nikolaos Meimetis

Biologically informed neural network models are robust to spurious interactions via self-pruning

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.24.684155

N/A

0DataRank · unranked

1 citations

Hratch Baghdassarian, Douglas A. Lauffenburger, Avlant Nilsson, Olof Nordenstorm