Lukas M. Weber

5.5k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Lukas M. Weber is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Lukas M. Weber has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Immunology. Recurrent topics in Lukas M. Weber's work include Single-cell and spatial transcriptomics (15 papers), Gene expression and cancer classification (7 papers) and Gene Regulatory Network Analysis (6 papers). Lukas M. Weber is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Gene expression and cancer classification (7 papers) and Gene Regulatory Network Analysis (6 papers). Lukas M. Weber collaborates with scholars based in United States, Switzerland and Italy. Lukas M. Weber's co-authors include Mark D. Robinson, Stephanie C. Hicks, Leonardo Collado‐Torres, Kristen R. Maynard, Keri Martinowich, Andrew E. Jaffe, Madhavi Tippani, Thomas M. Hyde, Joel E. Kleinman and Matthew N. Tran and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Lukas M. Weber

30 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

2021 557 citations Kristen R. Maynard, Leonardo Collado‐Torres et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas M. Weber United States	16	1.3k	370	254	159	158	34	1.8k
Zhichao Miao China	23	1.6k 1.2×	313 0.8×	187 0.7×	211 1.3×	97 0.6×	52	2.0k
Noushin Koulena United States	7	1.5k 1.1×	243 0.7×	343 1.4×	225 1.4×	104 0.7×	9	1.8k
Samantha J. Riesenfeld United States	13	868 0.6×	386 1.0×	111 0.4×	161 1.0×	120 0.8×	23	1.6k
Kelly Street United States	11	1.5k 1.1×	589 1.6×	174 0.7×	329 2.1×	263 1.7×	15	2.3k
Malte D. Luecken Germany	11	1.8k 1.3×	435 1.2×	387 1.5×	394 2.5×	164 1.0×	18	2.2k
Michael D. Morgan United Kingdom	16	1.5k 1.2×	573 1.5×	278 1.1×	298 1.9×	195 1.2×	25	2.3k
Dave Gennert United States	3	1.5k 1.1×	439 1.2×	144 0.6×	375 2.4×	162 1.0×	3	1.9k
Felice-Alessio Bava United States	11	1.5k 1.2×	232 0.6×	270 1.1×	241 1.5×	104 0.7×	13	1.8k
Robrecht Cannoodt Belgium	10	1.9k 1.4×	561 1.5×	326 1.3×	403 2.5×	237 1.5×	20	2.5k
Caroline Martin United States	6	2.0k 1.5×	420 1.1×	352 1.4×	377 2.4×	193 1.2×	6	2.4k

Countries citing papers authored by Lukas M. Weber

Since Specialization

Citations

This map shows the geographic impact of Lukas M. Weber'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 Lukas M. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas M. Weber more than expected).

Fields of papers citing papers by Lukas M. Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas M. Weber. 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 Lukas M. Weber. The network helps show where Lukas M. Weber may publish in the future.

Co-authorship network of co-authors of Lukas M. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas M. Weber. A scholar is included among the top collaborators of Lukas M. Weber 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 Lukas M. Weber. Lukas M. Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Weber, Lukas M., Martina Godel, Alessandra Ghigo, et al.. (2025). Dapagliflozin enhances hemodynamic and metabolic recovery following cardioplegic arrest in the isolated working mouse heart. Biomedicine & Pharmacotherapy. 193. 118771–118771.

Prado‐Lòpez, Sonia, et al.. (2025). Cytoskeleton imaging of colorectal and lung cancer spheroids using light sheet microscopy. PubMed. 3(1). 45–45.

Lefèbvre, Thierry, et al.. (2025). Assessing Advanced Propulsion Systems Using the Impact Monitor Framework. QRU Quaderns de Recerca en Urbanisme. 87–87. 2 indexed citations

Weber, Lukas M., Matthew N. Tran, Sang Ho Kwon, et al.. (2024). The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics. eLife. 12. 8 indexed citations

Tiberi, Simone, et al.. (2023). distinct: A novel approach to differential distribution analyses. The Annals of Applied Statistics. 17(2). 8 indexed citations

Weber, Lukas M., Matthew N. Tran, Sang‐Ho Kwon, et al.. (2023). The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics. eLife. 12. 6 indexed citations

Tippani, Madhavi, Joseph Catallini, Lukas M. Weber, et al.. (2023). VistoSeg : Processing utilities for high-resolution images for spatially resolved transcriptomics data. SHILAP Revista de lepidopterología. 3. 10 indexed citations

Weber, Lukas M., Arkajyoti Saha, Abhirup Datta, Kasper D. Hansen, & Stephanie C. Hicks. (2023). nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes. Nature Communications. 14(1). 4059–4059. 44 indexed citations

Omran, Dalia K., Lukas M. Weber, Euihye Jung, et al.. (2023). Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors. Genome biology. 24(1). 239–239. 15 indexed citations

10.

Righelli, Dario, Lukas M. Weber, Helena L. Crowell, et al.. (2022). SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor. Bioinformatics. 38(11). 3128–3131. 46 indexed citations

11.

Spangler, Abby, Lukas M. Weber, Stephanie C. Page, et al.. (2022). spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data. BMC Genomics. 23(1). 434–434. 80 indexed citations

12.

Weber, Lukas M., Peter F. Hickey, Kristofer C. Berrett, et al.. (2021). Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design. GigaScience. 10(9). 21 indexed citations

13.

Maynard, Kristen R., Leonardo Collado‐Torres, Lukas M. Weber, et al.. (2021). Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex. Nature Neuroscience. 24(3). 425–436. 557 indexed citations breakdown →

14.

Liechti, Thomas, Lukas M. Weber, Thomas M. Ashhurst, et al.. (2021). An updated guide for the perplexed: cytometry in the high-dimensional era. Nature Immunology. 22(10). 1190–1197. 48 indexed citations

15.

Falco, Matías Marín, Lukas M. Weber, Erdoğan Pekcan Erkan, et al.. (2021). miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data. PLoS Computational Biology. 17(8). e1009290–e1009290. 45 indexed citations

16.

Weber, Lukas M., Małgorzata Nowicka, Charlotte Soneson, & Mark D. Robinson. (2019). diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering. Communications Biology. 2(1). 183–183. 115 indexed citations

17.

Burger, Alexa, Helen Lindsay, Anastasia Felker, et al.. (2016). Maximizing mutagenesis with solubilized CRISPR-Cas9 ribonucleoprotein complexes.. Development. 143(11). 2025–37. 223 indexed citations

18.

Hartmann, Felix J., Raphaël Bernard‐Valnet, Clémence Queriault, et al.. (2016). High-dimensional single-cell analysis reveals the immune signature of narcolepsy. The Journal of Experimental Medicine. 213(12). 2621–2633. 76 indexed citations

19.

Weber, Lukas M. & Mark D. Robinson. (2016). Comparison of clustering methods for high‐dimensional single‐cell flow and mass cytometry data. Cytometry Part A. 89(12). 1084–1096. 241 indexed citations

20.

Robinson, Mark D., Abdullah Kahraman, Charity W. Law, et al.. (2014). Statistical methods for detecting differentially methylated loci and regions. Frontiers in Genetics. 5. 324–324. 76 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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