Alejandro Tejada-Lapuerta

Institute of Bioinformatics and Systems Biology

Also affiliated with Technical University of Munich

Biochemistry, Genetics and Molecular BiologyEngineering

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 9 papers. Top paper: “Nicheformer: a foundation model for single-cell and spatial omics”.

Nicheformer: a foundation model for single-cell and spatial omics

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.15.589472

N/A

1.6DataRank · unranked

40 citations

Alejandro Tejada-Lapuerta, Giovanni Palla, Robert M. Gutgesell, Lennard Halle, Mariia Minaeva +6 more

Towards multimodal foundation models in molecular cell biology

Nature(2025)10.1038/s41586-025-08710-y

N/A

1.2DataRank · unranked

88 citations

Alejandro Tejada-Lapuerta, Maria Brbić, Julio Saez-Rodriguez, Simona Cristea, Hani Goodarzi +4 more

Nicheformer: A Foundation Model for Single-Cell and Spatial Omics

SSRN Electronic Journal(2024)10.2139/ssrn.4803291

N/A

1.1DataRank · unranked

31 citations

Alejandro Tejada-Lapuerta, Giovanni Palla, Lennard Halle, Mariia Minaeva, Larsen Vornholz +6 more

Causal machine learning for single-cell genomics

Nature Genetics(2025)10.1038/s41588-025-02124-2

N/A

0.696DataRank · unranked

27 citations

Stefan Bauer, Meshal Ansari, Yoshua Bengio, Fabian Joachim Theis, Paul A. Bertin +1 more

CellFlow enables generative single-cell phenotype modeling with flow matching

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.11.648220

N/A

0.653DataRank · unranked

28 citations

Jonas Simon Fleck, Daniil Bobrovskiy, Lea Zimmermann, Sören Becker, Alessandro Palma +14 more

Scalable and universal prediction of cellular phenotypes enables in silico experiments

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.12.607533

N/A

0.527DataRank · unranked

12 citations

Alejandro Tejada-Lapuerta, Niklas A. Schmacke, Zihe Zheng, Xinyue Zhang, Simrah Khan +6 more

Integrating single-cell RNA-seq datasets with substantial batch effects

BMC Genomics(2025)10.1186/s12864-025-12126-3

N/A

0.294DataRank · unranked

5 citations

Amir Ali Moinfar, Luke Zappia, Shrey Parikh, Alejandro Tejada-Lapuerta, Benjamin J. Lengerich +3 more

A scalable gene network model of regulatory dynamics in single cells

arXiv (Cornell University)(2025)10.48550/arxiv.2503.20027

N/A

0.104DataRank · unranked

1 citations

Joseph D. Viviano, Alejandro Tejada-Lapuerta, Weixu Wang, Stefan Bauer, Fabian Joachim Theis +2 more

scConcept: Contrastive pretraining for technology-agnostic single-cell representations beyond reconstruction

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.14.682419

N/A

0DataRank · unranked

0 citations

Alejandro Tejada-Lapuerta, Sören Becker, Fatemeh S. Hashemi G., Fabian Joachim Theis, Mojtaba Bahrami