Paul Labhart

2.1k total citations
51 papers, 1.7k citations indexed

About

Paul Labhart is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Paul Labhart has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Oncology. Recurrent topics in Paul Labhart's work include Genomics and Chromatin Dynamics (25 papers), RNA and protein synthesis mechanisms (21 papers) and RNA Research and Splicing (20 papers). Paul Labhart is often cited by papers focused on Genomics and Chromatin Dynamics (25 papers), RNA and protein synthesis mechanisms (21 papers) and RNA Research and Splicing (20 papers). Paul Labhart collaborates with scholars based in United States, Switzerland and Germany. Paul Labhart's co-authors include Ronald H. Reeder, Theo Koller, R H Reeder, T. Köller, Garry T. Morgan, Brian Egan, Bert W. O’Malley, Christopher Brynczka, B. Alex Merrick and C. Smith and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Paul Labhart

51 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Labhart United States 24 1.5k 264 193 180 160 51 1.7k
Odd S. Gabrielsen Norway 25 1.8k 1.2× 281 1.1× 172 0.9× 212 1.2× 133 0.8× 66 2.1k
Chieri Tomomori‐Sato United States 19 1.9k 1.3× 237 0.9× 223 1.2× 236 1.3× 135 0.8× 24 2.3k
Victor Y. Stefanovsky Canada 24 2.1k 1.4× 163 0.6× 168 0.9× 201 1.1× 102 0.6× 33 2.3k
João Ferreira Portugal 21 1.8k 1.2× 269 1.0× 161 0.8× 164 0.9× 82 0.5× 30 2.1k
E.D. Halay United States 7 1.7k 1.2× 363 1.4× 125 0.6× 123 0.7× 75 0.5× 8 1.8k
Yoshiaki Ohkuma Japan 29 2.3k 1.6× 382 1.4× 164 0.8× 275 1.5× 241 1.5× 68 2.7k
Guang‐Jer Wu United States 23 865 0.6× 206 0.8× 78 0.4× 262 1.5× 128 0.8× 48 1.3k
James Stévenin France 34 3.0k 2.0× 281 1.1× 95 0.5× 98 0.5× 183 1.1× 71 3.2k
Sébastien Fribourg France 25 2.2k 1.5× 239 0.9× 86 0.4× 192 1.1× 168 1.1× 52 2.5k
Gray F. Crouse United States 24 2.1k 1.4× 429 1.6× 285 1.5× 329 1.8× 464 2.9× 44 2.6k

Countries citing papers authored by Paul Labhart

Since Specialization
Citations

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

Fields of papers citing papers by Paul Labhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Labhart

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Labhart. A scholar is included among the top collaborators of Paul Labhart 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 Paul Labhart. Paul Labhart 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.
Kwon, Oh‐Joon, Boyu Zhang, Deyong Jia, et al.. (2022). Elevated expression of the colony-stimulating factor 1 (CSF1) induces prostatic intraepithelial neoplasia dependent of epithelial-Gp130. Oncogene. 41(9). 1309–1323. 7 indexed citations
2.
Egan, Brian, Chih-Chi Yuan, Madeleine Craske, et al.. (2016). An Alternative Approach to ChIP-Seq Normalization Enables Detection of Genome-Wide Changes in Histone H3 Lysine 27 Trimethylation upon EZH2 Inhibition. PLoS ONE. 11(11). e0166438–e0166438. 85 indexed citations
3.
Eidahl, Jocelyn O., et al.. (2016). Mouse Dux is myotoxic and shares partial functional homology with its human paralog DUX4. Human Molecular Genetics. 25(20). ddw287–ddw287. 36 indexed citations
4.
Shi, Zhongcheng, Paul Labhart, Yanling Zhao, et al.. (2015). Context-specific role of SOX9 in NF-Y mediated gene regulation in colorectal cancer cells. Nucleic Acids Research. 43(13). 6257–6269. 51 indexed citations
5.
Yau, Christina, Laurence Meyer, Stephen C. Benz, et al.. (2015). FOXM1 cistrome predicts breast cancer metastatic outcome better than FOXM1 expression levels or tumor proliferation index. Breast Cancer Research and Treatment. 154(1). 23–32. 8 indexed citations
6.
Hochbaum, Daniel, Yue Zhang, Carsten Stuckenholz, et al.. (2011). DAF-12 Regulates a Connected Network of Genes to Ensure Robust Developmental Decisions. PLoS Genetics. 7(7). e1002179–e1002179. 51 indexed citations
7.
Stahl, Heiko, Tanja Fauti, Nina D. Ullrich, et al.. (2009). miR-155 Inhibition Sensitizes CD4+ Th Cells for TREG Mediated Suppression. PLoS ONE. 4(9). e7158–e7158. 72 indexed citations
8.
Hariparsad, Niresh, Xiaoyan Chu, Jocelyn Yabut, et al.. (2009). Identification of pregnane-X receptor target genes and coactivator and corepressor binding to promoter elements in human hepatocytes. Nucleic Acids Research. 37(4). 1160–1173. 60 indexed citations
9.
Brynczka, Christopher, Paul Labhart, & B. Alex Merrick. (2007). NGF-mediated transcriptional targets of p53 in PC12 neuronal differentiation. BMC Genomics. 8(1). 139–139. 47 indexed citations
10.
Sandoval-Rodríguez, Ana, et al.. (2004). Amplification and overexpression of oncogene Mdm2 and orphan receptor gene Nr1h4 in immortal PRKDC knockout cells. Molecular Biology Reports. 31(2). 91–96. 2 indexed citations
11.
Sandoval-Rodríguez, Ana, et al.. (2003). Differential Gene Expression in Human Glioma Cells: Correlation With Presence or Absence of DNA-Dependent Protein Kinase. Gene Expression. 11(1). 35–46. 8 indexed citations
12.
Sandoval-Rodríguez, Ana & Paul Labhart. (2003). High G/C content of cohesive overhangs renders DNA end joining Ku-independent. DNA repair. 3(1). 13–21. 11 indexed citations
13.
14.
Labhart, Paul. (1997). Transcript Cleavage in an RNA Polymerase I Elongation Complex. Journal of Biological Chemistry. 272(14). 9055–9061. 18 indexed citations
15.
16.
Labhart, Paul. (1995). TheXenopus9 bp ribosomal terminator (T3 box) is a pause signal for the RNA polymerase I elongation complex. Nucleic Acids Research. 23(12). 2252–2258. 8 indexed citations
17.
Labhart, Paul. (1994). Negative and positive effects of CpG‐methylation on Xenopus ribosomal gene transcription in vitro. FEBS Letters. 356(2-3). 302–306. 7 indexed citations
18.
Labhart, Paul & Ronald H. Reeder. (1990). Functional difference between the sites of ribosomal 40S precursor 3′ end formation inXenopus laevisandXenopus borealis. Nucleic Acids Research. 18(17). 5271–5277. 10 indexed citations
19.
Labhart, Paul & Ronald H. Reeder. (1985). Xenopusribosomal gene enhancers function when inserted inside the gene they enhance. Nucleic Acids Research. 13(24). 8999–9009. 30 indexed citations
20.
Wunderli, Heidi, et al.. (1983). Comparative studies on the structural organization of membrane-depleted nuclei and metaphase chromosomes. Chromosoma. 88(3). 241–248. 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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