Justina Biele

3.8k total citations · 1 hit paper
6 papers, 781 citations indexed

About

Justina Biele is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Justina Biele has authored 6 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Justina Biele's work include Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (5 papers) and Evolution and Genetic Dynamics (2 papers). Justina Biele is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (5 papers) and Evolution and Genetic Dynamics (2 papers). Justina Biele collaborates with scholars based in Canada and United States. Justina Biele's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Scientific Reports.

In The Last Decade

Justina Biele

6 papers receiving 776 citations

Hit Papers

align trajectories

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.

PyClone: statistical inference of clonal population structure in cancer

2014 575 citations Andrew Roth, Jaswinder Khattra et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Justina Biele Canada	6	558	473	222	162	121	6	781
Emma Laks Canada	7	670 1.2×	625 1.3×	257 1.2×	167 1.0×	127 1.0×	7	960
Ruping Sun United States	12	619 1.1×	613 1.3×	257 1.2×	122 0.8×	114 0.9×	20	1.1k
Junsong Zhao United States	6	513 0.9×	291 0.6×	318 1.4×	225 1.4×	93 0.8×	8	746
Xiuqing Shi China	6	875 1.6×	732 1.5×	469 2.1×	156 1.0×	142 1.2×	9	1.2k
Jiehua He China	13	430 0.8×	488 1.0×	211 1.0×	70 0.4×	117 1.0×	30	776
Luan Nguyen Netherlands	9	386 0.7×	432 0.9×	501 2.3×	102 0.6×	188 1.6×	14	913
Henry Lee-Six United Kingdom	8	534 1.0×	566 1.2×	362 1.6×	185 1.1×	71 0.6×	14	1.1k
Alexandre Harlé France	17	377 0.7×	349 0.7×	377 1.7×	191 1.2×	165 1.4×	70	805
Alexander Davis United States	8	746 1.3×	795 1.7×	376 1.7×	122 0.8×	167 1.4×	10	1.2k
M R Emmert-Buck United States	13	459 0.8×	642 1.4×	245 1.1×	171 1.1×	197 1.6×	19	1.1k

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

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6 of 6 papers shown

1.

Masud, Tehmina, et al.. (2021). Ubiquitin-mediated DNA damage response is synthetic lethal with G-quadruplex stabilizer CX-5461. Scientific Reports. 11(1). 9812–9812. 13 indexed citations

2.

Souza, Camila P. E. de, Mirela Andronescu, Tehmina Masud, et al.. (2020). Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data. PLoS Computational Biology. 16(9). e1008270–e1008270. 15 indexed citations

3.

Campbell, Kieran R., Adi Steif, Emma Laks, et al.. (2019). clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers. Genome biology. 20(1). 54–54. 69 indexed citations

4.

Roth, Andrew, Andrew McPherson, Emma Laks, et al.. (2016). Clonal genotype and population structure inference from single-cell tumor sequencing. Nature Methods. 13(7). 573–576. 75 indexed citations

5.

Leung, Kaston, Emma Laks, Justina Biele, et al.. (2016). Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates. Proceedings of the National Academy of Sciences. 113(30). 8484–8489. 34 indexed citations

6.

Roth, Andrew, Jaswinder Khattra, Damian Yap, et al.. (2014). PyClone: statistical inference of clonal population structure in cancer. Nature Methods. 11(4). 396–398. 575 indexed citations breakdown →

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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