Lukas Habegger

42.9k total citations · 1 hit paper
21 papers, 2.3k citations indexed

About

Lukas Habegger is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Lukas Habegger has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Lukas Habegger's work include Genomic variations and chromosomal abnormalities (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). Lukas Habegger is often cited by papers focused on Genomic variations and chromosomal abnormalities (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). Lukas Habegger collaborates with scholars based in United States, Russia and United Kingdom. Lukas Habegger's co-authors include Mark Gerstein, M Snyder, Joel Rozowsky, Andrea Sboner, Evan K. Maxwell, Jeffrey G. Reid, Sherman M. Weissman, Colm O’Dushlaine, Aris Baras and Boris Boutkov and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Lukas Habegger

21 papers receiving 2.3k citations

Hit Papers

Computationally efficient whole-genome regression for qua... 2021 2026 2022 2024 2021 100 200 300 400 500
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.

  1. Computationally efficient whole-genome regression for quantitative and binary traits
    2021 512 citations Joelle Mbatchou, Leland Barnard et al. Nature Genetics profile →

Peers

Lukas Habegger
Alberto Magi Italy
Eurie L. Hong United States
Dione K. Bailey United States
Maya Kasowski United States
Wanding Zhou United States
Robin Andersson Denmark
Sergi Sayols Germany
Ann S. Zweig United States
Jun Yin China
Jenny Z. Song Australia
Alberto Magi Italy
Lukas Habegger
Citations per year, relative to Lukas Habegger Lukas Habegger (= 1×) peers Alberto Magi

Countries citing papers authored by Lukas Habegger

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Habegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Habegger

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

All Works

20 of 20 papers shown
1.
Mbatchou, Joelle, Leland Barnard, Joshua Backman, et al.. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nature Genetics. 53(7). 1097–1103. 512 indexed citations breakdown →
2.
Finucane, Brenda, Matthew T. Oetjens, Scott M. Myers, et al.. (2021). Medical manifestations and health care utilization among adult MyCode participants with neurodevelopmental psychiatric copy number variants. Genetics in Medicine. 24(3). 703–711. 5 indexed citations
3.
Packer, Jonathan S., Evan K. Maxwell, Colm O’Dushlaine, et al.. (2015). CLAMMS: a scalable algorithm for calling common and rare copy number variants from exome sequencing data. Bioinformatics. 32(1). 133–135. 50 indexed citations
4.
Abyzov, Alexej, Rebecca C. Iskow, Ömer Gökçümen, et al.. (2013). Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division. Genome Research. 23(12). 2042–2052. 37 indexed citations
5.
Tilgner, Hagen, Debasish Raha, Lukas Habegger, et al.. (2013). Accurate Identification and Analysis of Human mRNA Isoforms Using Deep Long Read Sequencing. G3 Genes Genomes Genetics. 3(3). 387–397. 51 indexed citations
6.
Du, Jiang, Jing Leng, Lukas Habegger, et al.. (2012). IQSeq: Integrated Isoform Quantification Analysis Based on Next-Generation Sequencing. PLoS ONE. 7(1). e29175–e29175. 6 indexed citations
7.
Pei, Baikang, Cristina Sisu, Adam Frankish, et al.. (2012). The GENCODE pseudogene resource. Genome biology. 13(9). R51–R51. 251 indexed citations
8.
Iskow, Rebecca C., Ömer Gökçümen, Alexej Abyzov, et al.. (2012). Regulatory element copy number differences shape primate expression profiles. Proceedings of the National Academy of Sciences. 109(31). 12656–12661. 22 indexed citations
9.
Habegger, Lukas, Suganthi Balasubramanian, David Ziyou Chen, et al.. (2012). VAT: a computational framework to functionally annotate variants in personal genomes within a cloud-computing environment. Bioinformatics. 28(17). 2267–2269. 50 indexed citations
10.
Balasubramanian, Suganthi, Lukas Habegger, Adam Frankish, et al.. (2011). Gene inactivation and its implications for annotation in the era of personal genomics. Genes & Development. 25(1). 1–10. 22 indexed citations
11.
Lam, Hugo Y. K., Michael J. Clark, Rui Chen, et al.. (2011). Performance comparison of whole-genome sequencing platforms. Nature Biotechnology. 30(1). 78–82. 220 indexed citations
12.
Wu, Jia Qian, Lukas Habegger, Parinya Noisa, et al.. (2010). Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing. Proceedings of the National Academy of Sciences. 107(11). 5254–5259. 150 indexed citations
13.
Kasowski, Maya, Fabian Grubert, Christopher Heffelfinger, et al.. (2010). Variation in Transcription Factor Binding Among Humans. Science. 328(5975). 232–235. 423 indexed citations
14.
Sboner, Andrea, Lukas Habegger, Dorothee Pflueger, et al.. (2010). FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data. Genome biology. 11(10). 110 indexed citations
15.
Pflueger, Dorothee, Stéphane Terry, Andrea Sboner, et al.. (2010). Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing. Genome Research. 21(1). 56–67. 157 indexed citations
16.
Agarwal, Ashish, David Koppstein, Joel Rozowsky, et al.. (2010). Comparison and calibration of transcriptome data from RNA-Seq and tiling arrays. BMC Genomics. 11(1). 383–383. 83 indexed citations
17.
Habegger, Lukas, Andrea Sboner, Tara A. Gianoulis, et al.. (2010). RSEQtools: a modular framework to analyze RNA-Seq data using compact, anonymized data summaries. Bioinformatics. 27(2). 281–283. 79 indexed citations
18.
Плетнев, В. З., et al.. (2007). Rational proteomics of PKD1. I. Modeling the three dimensional structure and ligand specificity of the C_lectin binding domain of Polycystin-1.. Journal of Molecular Modeling. 13(8). 891–896. 5 indexed citations
19.
Duax, William L., Robert Huether, В. З. Плетнев, et al.. (2005). Rational genomics I: Antisense open reading frames and codon bias in short‐chain oxido reductase enzymes and the evolution of the genetic code. Proteins Structure Function and Bioinformatics. 61(4). 900–906. 12 indexed citations
20.
Duax, William L., James L. Thomas, В. З. Плетнев, et al.. (2005). Determining Structure and Function of Steroid Dehydrogenase Enzymes by Sequence Analysis, Homology Modeling, and Rational Mutational Analysis. Annals of the New York Academy of Sciences. 1061(1). 135–148. 18 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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