Salem Malikić

18.4k total citations
17 papers, 442 citations indexed

About

Salem Malikić is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Salem Malikić has authored 17 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 14 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Salem Malikić's work include Cancer Genomics and Diagnostics (17 papers), Single-cell and spatial transcriptomics (10 papers) and Genomics and Phylogenetic Studies (4 papers). Salem Malikić is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Single-cell and spatial transcriptomics (10 papers) and Genomics and Phylogenetic Studies (4 papers). Salem Malikić collaborates with scholars based in United States, Canada and United Kingdom. Salem Malikić's co-authors include Nilgun Donmez, Andrew McPherson, S. Cenk Şahinalp, Niko Beerenwinkel, Katharina Jahn, Jack Kuipers, S. Cenk Şahinalp, Victoria M. Pratt, Ibrahim Numanagić and Todd C. Skaar and has published in prestigious journals such as Nature Communications, Bioinformatics and Genome Research.

In The Last Decade

Salem Malikić

16 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salem Malikić United States	10	316	312	126	78	76	17	442
Dhilushi Wijayakumara Australia	9	106 0.3×	196 0.6×	73 0.6×	13 0.2×	66 0.9×	9	335
Maria Tengström Finland	12	99 0.3×	254 0.8×	72 0.6×	30 0.4×	10 0.1×	20	385
Derek Dustin United States	8	169 0.5×	228 0.7×	80 0.6×	33 0.4×	14 0.2×	14	464
Piiha-Lotta Jerevall Sweden	6	231 0.7×	93 0.3×	136 1.1×	32 0.4×	9 0.1×	8	314
C S Verrier United States	5	191 0.6×	346 1.1×	289 2.3×	159 2.0×	35 0.5×	7	589
Annalisa Morgano Italy	11	118 0.4×	253 0.8×	65 0.5×	39 0.5×	11 0.1×	15	481
Jian Yue China	10	106 0.3×	132 0.4×	22 0.2×	19 0.2×	37 0.5×	47	337
J.-C. Métivier France	5	275 0.9×	246 0.8×	32 0.3×	51 0.7×	4 0.1×	9	477
Dana Ziliak United States	8	206 0.7×	236 0.8×	43 0.3×	15 0.2×	21 0.3×	11	327
Florian Büttner Germany	13	218 0.7×	297 1.0×	31 0.2×	12 0.2×	21 0.3×	24	474

Countries citing papers authored by Salem Malikić

Since Specialization

Citations

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

Fields of papers citing papers by Salem Malikić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salem Malikić

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

All Works

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17 of 17 papers shown

Pal, Soumitra, Farid Rashidi Mehrabadi, Salem Malikić, et al.. (2024). Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones. Cell Systems. 16(1). 101156–101156. 4 indexed citations

Liu, Yuelin, Farid Rashidi Mehrabadi, Alejandro A. Schäffer, et al.. (2023). Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models. Genome Research. 33(7). gr.277608.122–gr.277608.122. 5 indexed citations

Mehrabadi, Farid Rashidi, Eva Pérez‐Guijarro, Kerrie L. Marie, et al.. (2022). Fast intratumor heterogeneity inference from single-cell sequencing data. Nature Computational Science. 2(9). 577–583. 3 indexed citations

Malikić, Salem, et al.. (2021). Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices. Journal of Computational Biology. 28(9). 857–879. 1 indexed citations

Hodzic, Ermin, Raunak Shrestha, Salem Malikić, et al.. (2020). Identification of conserved evolutionary trajectories in tumors. Bioinformatics. 36(Supplement_1). i427–i435. 9 indexed citations

Mehrabadi, Farid Rashidi, Salem Malikić, Osnat Bartok, et al.. (2020). PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem. Bioinformatics. 36(Supplement_1). i169–i176. 14 indexed citations

Malikić, Salem, et al.. (2020). Tumor Phylogeny Topology Inference via Deep Learning. iScience. 23(11). 101655–101655. 8 indexed citations

Malikić, Salem, Farid Rashidi Mehrabadi, Simone Ciccolella, et al.. (2019). PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data. Genome Research. 29(11). 1860–1877. 47 indexed citations

Malikić, Salem, et al.. (2019). A multi-labeled tree dissimilarity measure for comparing “clonal trees” of tumor progression. Algorithms for Molecular Biology. 14(1). 17–17. 13 indexed citations

10.

Malikić, Salem, Katharina Jahn, Jack Kuipers, S. Cenk Şahinalp, & Niko Beerenwinkel. (2019). Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data. Nature Communications. 10(1). 2750–2750. 80 indexed citations

11.

Malikić, Salem, et al.. (2019). Collaborative intra-tumor heterogeneity detection. Bioinformatics. 35(14). i379–i388. 12 indexed citations

12.

Numanagić, Ibrahim, Salem Malikić, Michael Ford, et al.. (2018). Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes. Nature Communications. 9(1). 828–828. 68 indexed citations

13.

Malikić, Salem, et al.. (2018). A Multi-labeled Tree Edit Distance for Comparing "Clonal Trees" of Tumor Progression. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

14.

Donmez, Nilgun, Salem Malikić, Alexander W. Wyatt, et al.. (2017). Clonality Inference from Single Tumor Samples Using Low-Coverage Sequence Data. Journal of Computational Biology. 24(6). 515–523. 21 indexed citations

15.

Numanagić, Ibrahim, Salem Malikić, Victoria M. Pratt, et al.. (2015). Cypiripi: exact genotyping of CYP2D6 using high-throughput sequencing data. PMC. 1 indexed citations

16.

Numanagić, Ibrahim, Salem Malikić, Victoria M. Pratt, et al.. (2015). Cypiripi: exact genotyping of CYP2D6 using high-throughput sequencing data. Bioinformatics. 31(12). i27–i34. 33 indexed citations

17.

Malikić, Salem, et al.. (2015). Clonality inference in multiple tumor samples using phylogeny. Bioinformatics. 31(9). 1349–1356. 123 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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