Justina Biele

3.8k citations
6 papers · 781 indexed · 1 hit paper · h-index 6
Topics
Cancer Genomics and Diagnostics (5 papers)Single-cell and spatial transcriptomics (5 papers)Evolution and Genetic Dynamics (2 papers)
Partner nations
CanadaUnited States

In The Last Decade

Justina Biele

6 papers receiving 776 citations

Hit Papers

PyClone: statistical inference of clonal population struc...20142026201820222014100200300400500

Peers

Justina Biele
Comparison fields: 5 of 54
  • Cancer Research 558
  • Molecular Biology 473
  • Oncology 222
  • Pathology and Forensic Medicine 162
  • Pulmonary and Respiratory Medicine 121
Replace Emma Laks with:
Emma Laks Canada
Ruping Sun United States
Xiuqing Shi China
Amit G. Deshwar Canada
Marco L. Leung United States
Inga Hansine Rye Norway
Nathan D. Dees United States
Luan Nguyen Netherlands
Henry Lee-Six United Kingdom
Alexander Davis United States
Justina Biele relative to Emma Laks Canada Emma Laks's profile →
Citations per field
00.5×1.5×
Emma Laks · 1×
Citations per year

Countries citing papers authored by Justina Biele

Since Specialization
Citations

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

Fields of papers citing papers by Justina Biele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justina Biele

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 13
2 15
3 69
4 75
5 34
6
PyClone: statistical inference of clonal population structure in cancerbreakdown →
575

About Justina Biele

Justina Biele is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 6 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (5 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Cancer Research (558 citations), Pathology and Forensic Medicine (162 citations) and Oncology (222 citations). Justina Biele has collaborated with scholars based in Canada and United States. Frequent co-authors include Samuel Aparício, Emma Laks, Sohrab P. Shah, Alexandre Bouchard‐Côté, Damian Yap, Adrian Wan, Andrew Roth, Gavin Ha, Jaswinder Khattra and Daniel Lai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods 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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