Jakub Scaber

1.4k citations
21 papers · 774 indexed · h-index 12
Topics
Amyotrophic Lateral Sclerosis Research (16 papers)Neurogenetic and Muscular Disorders Research (12 papers)Mitochondrial Function and Pathology (3 papers)

In The Last Decade

Jakub Scaber

21 papers receiving 763 citations

Peers

Jakub Scaber
Comparison fields: 5 of 70
  • Neurology 530
  • Molecular Biology 344
  • Genetics 299
  • Cellular and Molecular Neuroscience 139
  • Neurology 122
Replace Marco Barberis with:
Marco Barberis Italy
Jonathan R. Brent United States
Terri L. Petkau Canada
Ian Casci United States
Federica Lombardi Italy
Paul M. McKeever Canada
Nicolas Delestrée United States
Erik Simons Netherlands
Lea Leonardis Slovenia
Jakub Scaber relative to Marco Barberis Italy Marco Barberis's profile →
Citations per field
00.5×1.5×2.1×
Marco Barberis · 1×
Citations per year

Countries citing papers authored by Jakub Scaber

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Scaber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Scaber

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Scaber. A scholar is included among the top collaborators of Jakub Scaber 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 Jakub Scaber. Jakub Scaber 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 1
2 2
3 3
4 2
5 34
6 3
7 21
8 52
9 96
10 2
11 27
12
CGAT-core: A python framework for building scalable, reproducible computational biology workflows [version 1; peer review: 1 approved, 1 approved with reservations]
1
13 66
14 9
15 34
16 184
17 6
18 76
19 57
20 53

About Jakub Scaber

Jakub Scaber is a scholar working on Genetics, Neurology and Neurology, having authored 21 papers that have together received 774 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (12 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (530 citations), Genetics (299 citations) and Neurology (122 citations). Jakub Scaber has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kevin Talbot, Martin R. Turner, Ruxandra Dafinca, Sally A. Cowley, Nidaa A. Ababneh, Jane Vowles, Richard Wade‐Martins, Rachael Marsden, Lucy Farrimond and Ana Candalija. Their work appears in journals such as Nature Communications, Brain and Scientific Reports.

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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