Leila Taher

3.1k total citations
53 papers, 1.3k citations indexed

About

Leila Taher is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Leila Taher has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Leila Taher's work include Genomics and Chromatin Dynamics (18 papers), RNA Research and Splicing (10 papers) and Genomics and Phylogenetic Studies (8 papers). Leila Taher is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), RNA Research and Splicing (10 papers) and Genomics and Phylogenetic Studies (8 papers). Leila Taher collaborates with scholars based in Germany, Austria and United States. Leila Taher's co-authors include Ivan Ovcharenko, Robin P. Smith, Nadav Ahituv, Mee J. Kim, Georg Fuellen, Fumitaka Inoue, Jay Shendure, Rupali P Patwardhan, Mark Rochman and Michael Bustin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Neuron.

In The Last Decade

Leila Taher

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leila Taher Germany 21 940 167 123 112 98 53 1.3k
Itamar Harel Israel 13 1.0k 1.1× 214 1.3× 124 1.0× 74 0.7× 102 1.0× 22 1.6k
Andrew Box United States 17 991 1.1× 130 0.8× 75 0.6× 105 0.9× 110 1.1× 35 1.5k
Laura Buttitta United States 19 1.0k 1.1× 226 1.4× 96 0.8× 102 0.9× 122 1.2× 43 1.3k
Christopher Seidel United States 23 1.4k 1.5× 169 1.0× 142 1.2× 151 1.3× 132 1.3× 36 1.8k
Edwina McGlinn Australia 20 1.2k 1.3× 268 1.6× 282 2.3× 51 0.5× 120 1.2× 38 1.6k
Chiyo Takagi Japan 17 991 1.1× 264 1.6× 62 0.5× 114 1.0× 60 0.6× 27 1.3k
Kevin A. Peterson United States 16 919 1.0× 191 1.1× 71 0.6× 69 0.6× 47 0.5× 23 1.0k
Sara Powell United States 15 993 1.1× 356 2.1× 77 0.6× 165 1.5× 48 0.5× 18 1.2k
Akimasa Fukui Japan 24 987 1.1× 213 1.3× 74 0.6× 76 0.7× 60 0.6× 65 1.5k
Elad Chomsky Israel 11 903 1.0× 121 0.7× 190 1.5× 44 0.4× 108 1.1× 15 1.2k

Countries citing papers authored by Leila Taher

Since Specialization
Citations

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

Fields of papers citing papers by Leila Taher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Taher

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Taher. A scholar is included among the top collaborators of Leila Taher 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 Leila Taher. Leila Taher 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
1.
Kong, Weibo, Barbara C. Rütgen, Julia Beck, et al.. (2025). Transcriptomic profiling in canine B-cell lymphoma supports a synergistic effect of BTK and PI3K inhibitors. Frontiers in Veterinary Science. 12. 1577028–1577028.
2.
Taher, Leila, et al.. (2024). ENT3C: an entropy-based similarity measure for Hi-C and micro-C derived contact matrices. NAR Genomics and Bioinformatics. 6(3). lqae076–lqae076.
3.
Schuster, Daniela, N. Eberle, Wen Liu, et al.. (2023). The TiHoCL panel for canine lymphoma: a feasibility study integrating functional genomics and network biology approaches for comparative oncology targeted NGS panel design. Frontiers in Veterinary Science. 10. 1301536–1301536. 1 indexed citations
4.
Strobl, Frederic, Benjamin Schmid, Ralf Palmisano, et al.. (2023). How enhancers regulate wavelike gene expression patterns. eLife. 12. 7 indexed citations
5.
Taher, Leila, Hannes C. A. Drexler, Wojciech Makałowski, et al.. (2021). The proteome, not the transcriptome, predicts that oocyte superovulation affects embryonic phenotypes in mice. Scientific Reports. 11(1). 23731–23731. 13 indexed citations
6.
Sun, Shan, Rupert Öllinger, Elfriede Noeßner, et al.. (2021). Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities. Frontiers in Immunology. 12. 601080–601080. 21 indexed citations
7.
Li, Lifei, et al.. (2020). Independent Transposon Exaptation Is a Widespread Mechanism of Redundant Enhancer Evolution in the Mammalian Genome. Genome Biology and Evolution. 12(3). 1–17. 12 indexed citations
8.
Psathaki, Olympia E., Hannes C. A. Drexler, Yutaka Suzuki, et al.. (2019). An integrated genome-wide multi-omics analysis of gene expression dynamics in the preimplantation mouse embryo. Scientific Reports. 9(1). 13356–13356. 37 indexed citations
9.
Dahl, Marlis, et al.. (2018). A Dispensable Chromosome Is Required for Virulence in the Hemibiotrophic Plant Pathogen Colletotrichum higginsianum. Frontiers in Microbiology. 9. 1005–1005. 42 indexed citations
10.
Silberberg, Shanni N., Leila Taher, Susan Lindtner, et al.. (2016). Subpallial Enhancer Transgenic Lines: a Data and Tool Resource to Study Transcriptional Regulation of GABAergic Cell Fate. Neuron. 92(1). 59–74. 41 indexed citations
11.
Dawud, Raed Abu, et al.. (2015). Comparative computational analysis of pluripotency in human and mouse stem cells. Scientific Reports. 5(1). 7927–7927. 14 indexed citations
12.
Furusawa, Takashi, Mark Rochman, Leila Taher, et al.. (2015). Chromatin decompaction by the nucleosomal binding protein HMGN5 impairs nuclear sturdiness. Nature Communications. 6(1). 6138–6138. 103 indexed citations
13.
Taher, Leila, Robin P. Smith, Mee J. Kim, Nadav Ahituv, & Ivan Ovcharenko. (2013). Sequence signatures extracted from proximal promoters can be used to predict distal enhancers. Genome biology. 14(10). R117–R117. 26 indexed citations
14.
Collette, Nicole M., Cristal S. Yee, Deepa K. Murugesh, et al.. (2013). Sost and its paralog Sostdc1 coordinate digit number in a Gli3-dependent manner. Developmental Biology. 383(1). 90–105. 43 indexed citations
15.
Taher, Leila, et al.. (2012). Endemicity analysis, parsimony and biotic elements: a formal comparison using hypothetical distributions. Cladistics. 28(6). 645–654. 46 indexed citations
16.
Rochman, Mark, Leila Taher, Takashi Kurahashi, et al.. (2011). Effects of HMGN variants on the cellular transcription profile. Nucleic Acids Research. 39(10). 4076–4087. 35 indexed citations
17.
Taher, Leila, David McGaughey, Samantha Maragh, et al.. (2011). Genome-wide identification of conserved regulatory function in diverged sequences. Genome Research. 21(7). 1139–1149. 63 indexed citations
18.
Taher, Leila & Ivan Ovcharenko. (2009). Variable locus length in the human genome leads to ascertainment bias in functional inference for non-coding elements. Bioinformatics. 25(5). 578–584. 22 indexed citations
19.
Szumik, Claudia, Lone Aagesen, Diego Baldo, et al.. (2007). Biogeografía del norte argentino (paralelos 21 a 32): primer ensayoutilizando vertebrados, insectos y plantas. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Taher, Leila, Oliver Rinner, Saurabh Garg, Alexander Sczyrba, & Burkhard Morgenstern. (2004). AGenDA: gene prediction by cross-species sequence comparison. Nucleic Acids Research. 32(Web Server). W305–W308. 5 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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