Lukas Habegger

42.9k citations
21 papers · 2.3k indexed · 1 hit paper · h-index 17
Topics
Genomic variations and chromosomal abnormalities (8 papers)Genomics and Phylogenetic Studies (7 papers)Genomics and Rare Diseases (5 papers)

In The Last Decade

Lukas Habegger

21 papers receiving 2.3k citations

Hit Papers

Computationally efficient whole-genome regression for qua...20212026202220242021100200300400500

Peers

Lukas Habegger
Comparison fields: 5 of 128
  • Molecular Biology 1.5k
  • Genetics 840
  • Cancer Research 538
  • Plant Science 178
  • Pulmonary and Respiratory Medicine 143
Replace Alberto Magi with:
Alberto Magi Italy
Ayellet V. Segrè United States
Robin Andersson Denmark
Sergi Sayols Germany
Loan Nguyen United States
Long-Cheng Li United States
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Wanding Zhou United States
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Lukas Habegger relative to Alberto Magi Italy Alberto Magi's profile →
Citations per field
00.5×2.7×
Alberto Magi · 1×
Citations per year

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
#WorkIndexed citations
1
Computationally efficient whole-genome regression for quantitative and binary traitsbreakdown →
512
2 5
3 50
4 37
5 51
6 6
7 251
8 22
9 50
10 22
11 220
12 150
13 423
14 110
15 157
16 83
17 79
18 5
19 12
20 18

About Lukas Habegger

Lukas Habegger is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Cancer Research (538 citations), Genetics (840 citations) and Molecular Biology (1.5k citations). Lukas Habegger has collaborated with scholars based in United States, Russia and United Kingdom. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

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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