Jonas Ibn-Salem

862 total citations
12 papers, 426 citations indexed

About

Jonas Ibn-Salem is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jonas Ibn-Salem has authored 12 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Immunology. Recurrent topics in Jonas Ibn-Salem's work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jonas Ibn-Salem is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jonas Ibn-Salem collaborates with scholars based in Germany, United States and United Kingdom. Jonas Ibn-Salem's co-authors include Miguel A. Andrade‐Navarro, Enrique M. Muro, Michael I. Love, Ho‐Ryun Chung, Martin Vingron, Céline Hernandez, Morgane Thomas‐Chollier, Marcel Jurk, Sebastiaan H. Meijsing and Peter N. Robinson and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Genome Research.

In The Last Decade

Jonas Ibn-Salem

12 papers receiving 423 citations

Peers

Jonas Ibn-Salem

MB

GENET

PS

CR

IMMUN

William McDowell United States

David Benovoy Canada

Kevin C. L. Lam Canada

Andrew L. Hufton Germany

Pavla Navrátilová Norway

Myriam Ruault France

Pauline A. Fujita United States

Julie Stock United Kingdom

Sandra S. de Vries Netherlands

Sana Badri United States

William McDowell United States

Jonas Ibn-Salem

489 ×1.4

MB

113 ×0.9

GENET

94 ×1.1

PS

46 ×1.0

CR

40 ×0.9

IMMUN

Citations per year, relative to Jonas Ibn-Salem Jonas Ibn-Salem (= 1×) peers William McDowell

Countries citing papers authored by Jonas Ibn-Salem

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Ibn-Salem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Ibn-Salem

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

All Works

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12 of 12 papers shown

1.

Lang, Franziska, Patrick Sorn, M Suchan, et al.. (2024). Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates. Bioinformatics Advances. 4(1). vbae080–vbae080. 2 indexed citations

2.

Weber, David, Jonas Ibn-Salem, Patrick Sorn, et al.. (2022). Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens. Nature Biotechnology. 40(8). 1276–1284. 34 indexed citations

3.

Gargano, Michael, Jochen Hecht, Jonas Ibn-Salem, et al.. (2019). Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data. Genes. 10(7). 548–548. 6 indexed citations

4.

Ibn-Salem, Jonas & Miguel A. Andrade‐Navarro. (2019). 7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs. BMC Genomics. 20(1). 777–777. 6 indexed citations

5.

Hogan, John D., Lingqi Luo, Jonas Ibn-Salem, et al.. (2019). The developmental transcriptome for Lytechinus variegatus exhibits temporally punctuated gene expression changes. Developmental Biology. 460(2). 139–154. 14 indexed citations

6.

Muro, Enrique M., Jonas Ibn-Salem, & Miguel A. Andrade‐Navarro. (2019). The distributions of protein coding genes within chromatin domains in relation to human disease. Epigenetics & Chromatin. 12(1). 72–72. 5 indexed citations

7.

Andrade‐Navarro, Miguel A., et al.. (2018). Evolutionary stability of topologically associating domains is associated with conserved gene regulation. BMC Biology. 16(1). 87–87. 91 indexed citations

8.

Hecht, Jochen, et al.. (2016). Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus. BMC Genomics. 17(1). 873–873. 7 indexed citations

9.

Ibn-Salem, Jonas, Enrique M. Muro, & Miguel A. Andrade‐Navarro. (2016). Co-regulation of paralog genes in the three-dimensional chromatin architecture. Nucleic Acids Research. 45(1). 81–91. 61 indexed citations

10.

Ibn-Salem, Jonas, Marcel Jurk, Céline Hernandez, et al.. (2015). ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors. Genome Research. 25(6). 825–835. 93 indexed citations

11.

Ibn-Salem, Jonas, Sebastian Köhler, Michael I. Love, et al.. (2014). Deletions of chromosomal regulatory boundaries are associated with congenital disease. Genome biology. 15(9). 423–423. 90 indexed citations

12.

Köhler, Sebastian, Johanna Christina Czeschik, Sandra C. Doelken, et al.. (2014). Clinical interpretation of CNVs with cross-species phenotype data. Journal of Medical Genetics. 51(11). 766–772. 17 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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