Lukas Heumos

2.7k total citations
9 papers, 126 citations indexed

About

Lukas Heumos is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Lukas Heumos has authored 9 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Lukas Heumos's work include Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Lukas Heumos is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Lukas Heumos collaborates with scholars based in Germany, United Kingdom and United States. Lukas Heumos's co-authors include Justin S. Antony, Markus Mezger, Rupert Handgretinger, Praveen Baskaran, Thomas Epting, Annika Nelde, Oliver Kohlbacher, Michael Kormann, Christopher Mohr and Leon Bichmann and has published in prestigious journals such as Bioinformatics, Scientific Reports and Genome biology.

In The Last Decade

Lukas Heumos

9 papers receiving 123 citations

Peers

Lukas Heumos

MB

ONCOL

GENET

IMMUN

Reyes Acosta United States

Sarah L. King‐Smith Australia

Desiree Davison United States

Elena M. Cortizas United States

Franciele de Lima Brazil

M. Luz Lozano Spain

Maximilian Witzel Germany

Frédéric Morel France

Vincenzo Di Cerbo United Kingdom

Meghan Tucker United States

Reyes Acosta United States

Lukas Heumos

71 ×0.7

MB

20 ×0.7

ONCOL

15 ×0.6

GENET

21 ×0.8

GENET

26 ×1.2

IMMUN

Citations per year, relative to Lukas Heumos Lukas Heumos (= 1×) peers Reyes Acosta

Countries citing papers authored by Lukas Heumos

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Heumos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Heumos

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

All Works

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9 of 9 papers shown

1.

Heumos, Simon, Michael Heuer, Lukas Heumos, et al.. (2024). Cluster-efficient pangenome graph construction with nf-core/pangenome. Bioinformatics. 40(11). 6 indexed citations

2.

Curion, Fabiola, Lukas Heumos, Lennard Halle, et al.. (2024). hadge: a comprehensive pipeline for donor deconvolution in single-cell studies. Genome biology. 25(1). 109–109. 5 indexed citations

3.

Curion, Fabiola, Charlotte Rich‐Griffin, Devika Agarwal, et al.. (2024). Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis. Genome biology. 25(1). 181–181. 4 indexed citations

4.

Heumos, Lukas, Luis Kuhn Cuellar, Kevin Menden, et al.. (2023). mlf-core: a framework for deterministic machine learning. Bioinformatics. 39(4). 2 indexed citations

5.

Antony, Justin S., Jun-Hoe Lee, Lukas Heumos, et al.. (2021). A Mutation-Agnostic Hematopoietic Stem Cell Gene Therapy for Metachromatic Leukodystrophy. The CRISPR Journal. 5(1). 66–79. 11 indexed citations

6.

Epting, Thomas, Sabina Marciano, Lukas Heumos, et al.. (2021). Universal Gene Correction Approaches for β-hemoglobinopathies Using CRISPR-Cas9 and Adeno-Associated Virus Serotype 6 Donor Templates. The CRISPR Journal. 4(2). 207–222. 6 indexed citations

7.

Fischer, David S., Leander Dony, Martin König, et al.. (2021). Sfaira accelerates data and model reuse in single cell genomics. Genome biology. 22(1). 248–248. 17 indexed citations

8.

Antony, Justin S., Thomas Epting, Lukas Heumos, et al.. (2020). Comparative targeting analysis of KLF1, BCL11A, and HBG1/2 in CD34+ HSPCs by CRISPR/Cas9 for the induction of fetal hemoglobin. Scientific Reports. 10(1). 10133–10133. 44 indexed citations

9.

Bichmann, Leon, Annika Nelde, Michael Ghosh, et al.. (2019). MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics. Journal of Proteome Research. 18(11). 3876–3884. 31 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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