Malte D. Luecken

7.3k total citations · 4 hit papers
18 papers, 2.2k citations indexed

About

Malte D. Luecken is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Malte D. Luecken has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biophysics and 5 papers in Immunology. Recurrent topics in Malte D. Luecken's work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers) and Gene expression and cancer classification (3 papers). Malte D. Luecken is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers) and Gene expression and cancer classification (3 papers). Malte D. Luecken collaborates with scholars based in Germany, United States and United Kingdom. Malte D. Luecken's co-authors include Fabian J. Theis, Maren Büttner, Marta Interlandi, Daniel Strobl, Luke Zappia, Maria Colomé‐Tatché, Martin Dugas, Anna Danese, Kridsadakorn Chaichoompu and Martin Mueller and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

In The Last Decade

Malte D. Luecken

16 papers receiving 2.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current best practices in single‐cell RNA‐seq analysis: a tutorial

2019 1.1k citations Malte D. Luecken, Fabian J. Theis Molecular Systems Biology profile →
Benchmarking atlas-level data integration in single-cell genomics

2021 544 citations Malte D. Luecken, Maren Büttner et al. Nature Methods profile →
Mapping single-cell data to reference atlases by transfer learning

2021 247 citations Mohammad Lotfollahi, Mohsen Naghipourfar et al. Nature Biotechnology profile →
Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows

2025 25 citations Sergio Marco Salas, Louis B. Kuemmerle et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Malte D. Luecken Germany	11	1.8k	435	394	387	164	18	2.2k
Robrecht Cannoodt Belgium	10	1.9k 1.1×	561 1.3×	403 1.0×	326 0.8×	237 1.4×	20	2.5k
Maren Büttner Germany	16	2.2k 1.2×	489 1.1×	422 1.1×	514 1.3×	240 1.5×	27	2.7k
Ludvig Larsson Sweden	20	1.7k 1.0×	429 1.0×	420 1.1×	262 0.7×	246 1.5×	31	2.2k
Laleh Haghverdi Germany	9	2.5k 1.5×	637 1.5×	491 1.2×	557 1.4×	250 1.5×	14	3.1k
Romain Lopez United States	8	2.3k 1.3×	652 1.5×	495 1.3×	490 1.3×	254 1.5×	12	2.9k
Fredrik Salmén Sweden	14	2.0k 1.2×	438 1.0×	524 1.3×	315 0.8×	268 1.6×	15	2.4k
Michael D. Morgan United Kingdom	16	1.5k 0.9×	573 1.3×	298 0.8×	278 0.7×	195 1.2×	25	2.3k
Sanja Vicković Sweden	14	1.6k 0.9×	348 0.8×	381 1.0×	238 0.6×	214 1.3×	18	2.0k
Fiona Hamey United Kingdom	12	1.5k 0.8×	655 1.5×	257 0.7×	203 0.5×	174 1.1×	19	2.0k
José Fernández Navarro Sweden	16	1.7k 1.0×	368 0.8×	297 0.8×	281 0.7×	154 0.9×	18	2.0k

Countries citing papers authored by Malte D. Luecken

Since Specialization

Citations

This map shows the geographic impact of Malte D. Luecken's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Malte D. Luecken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte D. Luecken more than expected).

Fields of papers citing papers by Malte D. Luecken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malte D. Luecken. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Malte D. Luecken. The network helps show where Malte D. Luecken may publish in the future.

Co-authorship network of co-authors of Malte D. Luecken

This figure shows the co-authorship network connecting the top 25 collaborators of Malte D. Luecken. A scholar is included among the top collaborators of Malte D. Luecken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malte D. Luecken. Malte D. Luecken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Cheng, Xuesen, Malte D. Luecken, Aboozar Monavarfeshani, et al.. (2026). Single-cell atlas of the transcriptome and chromatin accessibility in the human retina. Nature Genetics. 58(2). 418–433.

Salas, Sergio Marco, Louis B. Kuemmerle, Christophe Avenel, et al.. (2025). Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows. Nature Methods. 22(4). 813–823. 25 indexed citations breakdown →

Gerckens, Michael, Paola Arnold, Tobias Veit, et al.. (2025). Multistate modelling of baseline lung allograft dysfunction in lung transplant recipients. ERJ Open Research. 11(5). 1135–2024. 1 indexed citations

Luecken, Malte D., Niki Kilbertus, Stefan Bauer, et al.. (2025). Biases in machine-learning models of human single-cell data. Nature Cell Biology. 27(3). 384–392.

Zappia, Luke, Sabrina Richter, Ciro Ramírez-Suástegui, et al.. (2025). Feature selection methods affect the performance of scRNA-seq data integration and querying. Nature Methods. 22(4). 834–844. 7 indexed citations

Hrovatin, Karin, Lisa Sikkema, Graham Heimberg, et al.. (2024). Considerations for building and using integrated single-cell atlases. Nature Methods. 22(1). 41–57. 16 indexed citations

Müller, Michael, Laurens De Sadeleer, Oliver Distler, et al.. (2024). Deciphering the spatial heterogeneity of interstitial lung disease by integrative radiomics and single-nucleus transcriptomics. 140–140. 2 indexed citations

Anchang, Benedict, Robrecht Cannoodt, Mauricio Cortes, et al.. (2024). A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types. 20566–20616. 1 indexed citations

Vornholz, Larsen, Zsuzsanna Kurgyis, Daniel Strobl, et al.. (2023). Synthetic enforcement of STING signaling in cancer cells appropriates the immune microenvironment for checkpoint inhibitor therapy. Science Advances. 9(11). eadd8564–eadd8564. 36 indexed citations

10.

Kos, Aron, Juan Pablo López, Joeri Bordes, et al.. (2023). Early life adversity shapes social subordination and cell type–specific transcriptomic patterning in the ventral hippocampus. Science Advances. 9(48). eadj3793–eadj3793. 18 indexed citations

11.

Almet, Axel A., Hao Yuan, Karl Annusver, et al.. (2023). A Roadmap for a Consensus Human Skin Cell Atlas and Single-Cell Data Standardization. Journal of Investigative Dermatology. 143(9). 1667–1677. 10 indexed citations

12.

Musumeci, Andrea, Christopher Sie, Elena Winheim, et al.. (2022). Ly6D+Siglec-H+ precursors contribute to conventional dendritic cells via a Zbtb46+Ly6D+ intermediary stage. Nature Communications. 13(1). 3456–3456. 15 indexed citations

13.

Giesert, Florian, Chu Lan Lao, Sandrine Lefort, et al.. (2022). Parkinson's disease motor symptoms rescue by CRISPRa‐reprogramming astrocytes into GABAergic neurons. EMBO Molecular Medicine. 14(5). e14797–e14797. 54 indexed citations

14.

Tritschler, Sophie, Michael Sterr, Julia Hinterdobler, et al.. (2021). Diet-induced alteration of intestinal stem cell function underlies obesity and prediabetes in mice. Nature Metabolism. 3(9). 1202–1216. 77 indexed citations

15.

Lotfollahi, Mohammad, Mohsen Naghipourfar, Malte D. Luecken, et al.. (2021). Mapping single-cell data to reference atlases by transfer learning. Nature Biotechnology. 40(1). 121–130. 247 indexed citations breakdown →

16.

Luecken, Malte D., Maren Büttner, Kridsadakorn Chaichoompu, et al.. (2021). Benchmarking atlas-level data integration in single-cell genomics. Nature Methods. 19(1). 41–50. 544 indexed citations breakdown →

17.

Luecken, Malte D. & Fabian J. Theis. (2019). Current best practices in single‐cell RNA‐seq analysis: a tutorial. Molecular Systems Biology. 15(6). e8746–e8746. 1114 indexed citations breakdown →

18.

Luecken, Malte D., et al.. (2017). CommWalker: correctly evaluating modules in molecular networks in light of annotation bias. Bioinformatics. 34(6). 994–1000. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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