Uwe Ohler

19.0k total citations · 5 hit papers
130 papers, 10.6k citations indexed

About

Uwe Ohler is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Uwe Ohler has authored 130 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 30 papers in Cancer Research and 18 papers in Plant Science. Recurrent topics in Uwe Ohler's work include RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (50 papers) and RNA modifications and cancer (47 papers). Uwe Ohler is often cited by papers focused on RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (50 papers) and RNA modifications and cancer (47 papers). Uwe Ohler collaborates with scholars based in United States, Germany and United Kingdom. Uwe Ohler's co-authors include Neelanjan Mukherjee, Philip N. Benfey, David L. Corcoran, Heinrich Niemann, Thomas Tuschl, Daniel Mace, Jeffrey D. Nusbaum, Markus Hafner, Lorenzo Calviello and William H. Majoros and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Uwe Ohler

129 papers receiving 10.5k citations

Hit Papers

5 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.

A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns

2007 897 citations Siobhán M. Brady, David A. Orlando et al. Science profile →
Integrative Regulatory Mapping Indicates that the RNA-Binding Protein HuR Couples Pre-mRNA Processing and mRNA Stability

2011 527 citations Neelanjan Mukherjee, David L. Corcoran et al. Molecular Cell profile →
FMRP targets distinct mRNA sequence elements to regulate protein expression

2012 521 citations Manuel Ascano, Neelanjan Mukherjee et al. Nature profile →
A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants

2022 189 citations Che‐Wei Hsu, Isaiah Taylor et al. profile →
Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root

2023 86 citations Che‐Wei Hsu, Isaiah Taylor et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uwe Ohler United States	53	8.6k	2.6k	2.1k	1.1k	608	130	10.6k
Amy A. Caudy United States	31	9.1k 1.1×	1.9k 0.7×	2.4k 1.2×	1.7k 1.5×	1.1k 1.8×	52	11.3k
Shujun Luo United States	37	10.4k 1.2×	2.1k 0.8×	3.1k 1.5×	1.3k 1.1×	633 1.0×	58	13.0k
Mattia Pelizzola Italy	32	7.0k 0.8×	1.7k 0.7×	989 0.5×	1.4k 1.3×	409 0.7×	60	8.8k
David A. Orlando United States	20	7.1k 0.8×	1.5k 0.6×	1.0k 0.5×	873 0.8×	541 0.9×	37	8.2k
Fidel Ramírez Germany	21	8.2k 1.0×	2.2k 0.9×	990 0.5×	1.2k 1.1×	931 1.5×	34	10.5k
Denes Hnisz United States	24	10.1k 1.2×	993 0.4×	1.4k 0.7×	1.2k 1.0×	943 1.6×	34	11.4k
Gill Bejerano United States	38	10.3k 1.2×	1.8k 0.7×	2.0k 1.0×	3.8k 3.3×	693 1.1×	93	13.0k
Gary C. Hon United States	20	11.9k 1.4×	1.0k 0.4×	2.4k 1.2×	1.9k 1.7×	519 0.9×	22	13.0k
Boris Lenhard United Kingdom	52	10.4k 1.2×	1.6k 0.6×	1.7k 0.8×	2.2k 1.9×	969 1.6×	132	12.7k
Alan M. Zahler United States	25	9.7k 1.1×	1.1k 0.4×	1.4k 0.7×	2.1k 1.9×	678 1.1×	41	11.6k

Countries citing papers authored by Uwe Ohler

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Ohler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Ohler

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

All Works

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20 of 20 papers shown

Ohler, Uwe, et al.. (2024). Liam tackles complex multimodal single-cell data integration challenges. Nucleic Acids Research. 52(12). e52–e52. 3 indexed citations

Taylor, Isaiah, O. Rahul Patharkar, Che‐Wei Hsu, et al.. (2024). Arabidopsis uses a molecular grounding mechanism and a biophysical circuit breaker to limit floral abscission signaling. Proceedings of the National Academy of Sciences. 121(44). e2405806121–e2405806121. 2 indexed citations

Tiniakou, Ioanna, Görkem Garipler, Nicholas M. Adams, et al.. (2024). Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiation. Science Immunology. 9(94). eadi1023–eadi1023. 6 indexed citations

Schott, Johanna, Doris Lindner, Joris Messens, et al.. (2023). Stress-induced nuclear speckle reorganization is linked to activation of immediate early gene splicing. The Journal of Cell Biology. 222(12). 12 indexed citations

Bittner, Florian, et al.. (2023). A computational map of the human-SARS-CoV-2 protein–RNA interactome predicted at single-nucleotide resolution. NAR Genomics and Bioinformatics. 5(1). lqad010–lqad010. 8 indexed citations

Kopp, Wolfgang, Altuna Akalin, & Uwe Ohler. (2022). Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning. Nature Machine Intelligence. 4(2). 162–168. 19 indexed citations

Harnett, Dermot, Mateusz C. Ambrozkiewicz, Ulrike Zinnall, et al.. (2022). A critical period of translational control during brain development at codon resolution. Nature Structural & Molecular Biology. 29(12). 1277–1290. 31 indexed citations

Garipler, Görkem, Congyi Lu, Simon E. Vidal, et al.. (2022). The BTB transcription factors ZBTB11 and ZFP131 maintain pluripotency by repressing pro-differentiation genes. Cell Reports. 38(11). 110524–110524. 11 indexed citations

Vlot, Anna Hendrika Cornelia, Setareh Maghsudi, & Uwe Ohler. (2022). Cluster-independent marker feature identification from single-cell omics data using SEMITONES. Nucleic Acids Research. 50(18). e107–e107. 2 indexed citations

10.

Kopp, Wolfgang, Rieke Kempfer, Antje Hirsekorn, et al.. (2022). Single-cell-resolved dynamics of chromatin architecture delineate cell and regulatory states in zebrafish embryos. Cell Genomics. 2(1). 100083–100083. 11 indexed citations

11.

Ohler, Uwe, et al.. (2020). Deep neural networks for interpreting RNA-binding protein target preferences. Genome Research. 30(2). 214–226. 63 indexed citations

12.

Wessels, Hans‐Hermann, Svetlana Lebedeva, Antje Hirsekorn, et al.. (2019). Global identification of functional microRNA-mRNA interactions in Drosophila. Nature Communications. 10(1). 1626–1626. 36 indexed citations

13.

Galupa, Rafael, Elphège P. Nora, Rebecca Worsley-Hunt, et al.. (2019). A Conserved Noncoding Locus Regulates Random Monoallelic Xist Expression across a Topological Boundary. Molecular Cell. 77(2). 352–367.e8. 45 indexed citations

14.

Mukherjee, Neelanjan, et al.. (2018). SSMART: sequence-structure motif identification for RNA-binding proteins. Bioinformatics. 34(23). 3990–3998. 16 indexed citations

15.

Ascano, Manuel, Neelanjan Mukherjee, Pradeep Bandaru, et al.. (2012). FMRP targets distinct mRNA sequence elements to regulate protein expression. Nature. 492(7429). 382–386. 521 indexed citations breakdown →

16.

Rach, Elizabeth A., Hsiang‐Yu Yuan, William H. Majoros, Pavel Tomančák, & Uwe Ohler. (2009). Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome. Genome biology. 10(7). R73–R73. 74 indexed citations

17.

Brady, Siobhán M., David A. Orlando, Ji‐Young Lee, et al.. (2007). A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns. Science. 318(5851). 801–806. 897 indexed citations breakdown →

18.

Lee, Ji‐Young, Juliette Colinas, Jean Y. Wang, et al.. (2006). Transcriptional and posttranscriptional regulation of transcription factor expression in Arabidopsis roots. Proceedings of the National Academy of Sciences. 103(15). 6055–6060. 226 indexed citations

19.

Huang, Weichun, David M. Umbach, Uwe Ohler, & Leping Li. (2006). Optimized mixed Markov models for motif identification. BMC Bioinformatics. 7(1). 279–279. 14 indexed citations

20.

Ohler, Uwe. (2000). Promoter Prediction on a Genomic Scale—TheAdhExperience. Genome Research. 10(4). 539–542. 18 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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