Paul Bertone

18.3k total citations · 7 hit papers
68 papers, 12.0k citations indexed

About

Paul Bertone is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Paul Bertone has authored 68 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Paul Bertone's work include Genomics and Chromatin Dynamics (21 papers), Pluripotent Stem Cells Research (16 papers) and CRISPR and Genetic Engineering (13 papers). Paul Bertone is often cited by papers focused on Genomics and Chromatin Dynamics (21 papers), Pluripotent Stem Cells Research (16 papers) and CRISPR and Genetic Engineering (13 papers). Paul Bertone collaborates with scholars based in United States, United Kingdom and Germany. Paul Bertone's co-authors include M Snyder, Mark Gerstein, Austin Smith, Heidi Dvinge, Jennifer Nichols, Remco Loos, Perry L. Miller, Heng Zhu, Antonio Casamayor and Nicholas M. Luscombe and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paul Bertone

67 papers receiving 11.8k 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.

Global Analysis of Protein Activities Using Proteome Chips

2001 1.5k citations Paul Bertone, Perry L. Miller et al. profile →
Global Identification of Human Transcribed Sequences with Genome Tiling Arrays

2004 803 citations Paul Bertone, Viktor Štolc et al. profile →
Towards practical, high-capacity, low-maintenance information storage in synthesized DNA

2013 738 citations Nick Goldman, Paul Bertone et al. Nature profile →
Resetting Transcription Factor Control Circuitry toward Ground-State Pluripotency in Human

2014 696 citations Ge Guo, Remco Loos et al. Cell profile →
Analysis of yeast protein kinases using protein chips

2000 612 citations Paul Bertone, Mark Gerstein et al. profile →
Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression

2010 542 citations Anna Git, Heidi Dvinge et al. RNA profile →
The ability of inner-cell-mass cells to self-renew as embryonic stem cells is acquired following epiblast specification

2014 332 citations Thorsten Boroviak, Remco Loos et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Bertone United States	48	10.4k	1.9k	1.1k	941	788	68	12.0k
Ulf Landegren Sweden	51	10.1k 1.0×	1.3k 0.7×	1.4k 1.3×	2.2k 2.3×	993 1.3×	192	14.3k
Jason Moffat Canada	56	11.9k 1.1×	1.4k 0.8×	1.3k 1.2×	992 1.1×	463 0.6×	168	16.3k
Gianni Cesareni Italy	59	11.4k 1.1×	468 0.3×	1.5k 1.4×	583 0.6×	790 1.0×	188	13.9k
Ghia Euskirchen United States	27	7.4k 0.7×	780 0.4×	1.8k 1.6×	416 0.4×	245 0.3×	33	10.0k
M. Cristina Cardoso Germany	55	9.9k 0.9×	496 0.3×	1.7k 1.6×	625 0.7×	1.1k 1.4×	186	12.1k
Wendy V. Gilbert United States	31	9.2k 0.9×	1.1k 0.6×	1.9k 1.7×	183 0.2×	283 0.4×	60	11.1k
Thierry Voet Belgium	42	5.5k 0.5×	1.5k 0.8×	1.5k 1.4×	492 0.5×	179 0.2×	96	8.6k
Nicholas M. Luscombe United Kingdom	57	13.6k 1.3×	1.6k 0.8×	2.3k 2.1×	244 0.3×	190 0.2×	131	15.7k
Michael L. Metzker United States	23	5.0k 0.5×	786 0.4×	1.8k 1.6×	399 0.4×	257 0.3×	35	7.6k
Mark S. Chee United States	27	5.8k 0.6×	807 0.4×	1.5k 1.4×	673 0.7×	176 0.2×	37	8.2k

Countries citing papers authored by Paul Bertone

Since Specialization

Citations

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

Fields of papers citing papers by Paul Bertone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Bertone

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Klinger, James R., Paul Bertone, Mandy Pereira, & Alexander S. Brodsky. (2023). Spatial Transcriptomics Reveal Altered Gene Expression in Lungs of Rats With Sugen/Hypoxia-Induced Pulmonary Hypertension. A3726–A3726. 1 indexed citations

Chorzalska, Anna, James P. Morgan, Nagib Ahsan, et al.. (2023). Proximity proteomics reveals role of Abelson interactor 1 in the regulation of TAK1 / RIPK1 signaling. Molecular Oncology. 17(11). 2356–2379. 2 indexed citations

Stirparo, Giuliano Giuseppe, Hannah T. Stuart, Amanda Andersson-Rolf, et al.. (2021). Sox2 modulation increases naïve pluripotency plasticity. iScience. 24(3). 102153–102153. 13 indexed citations

Labouesse, Céline, Chibeza C. Agley, Moritz Hofer, et al.. (2021). StemBond hydrogels control the mechanical microenvironment for pluripotent stem cells. Nature Communications. 12(1). 6132–6132. 35 indexed citations

Stuart, Hannah T., Giuliano Giuseppe Stirparo, Tim Lohoff, et al.. (2019). Distinct Molecular Trajectories Converge to Induce Naive Pluripotency. Cell stem cell. 25(3). 388–406.e8. 29 indexed citations

Stirparo, Giuliano Giuseppe, Thorsten Boroviak, Ge Guo, et al.. (2018). Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human preimplantation epiblast. Development. 145(3). 142 indexed citations

Boroviak, Thorsten, Giuliano Giuseppe Stirparo, Sabine Dietmann, et al.. (2018). Single cell transcriptome analysis of human, marmoset and mouse embryos reveals common and divergent features of preimplantation development. Development. 145(21). 142 indexed citations

Pękowska, Aleksandra, Bernd Klaus, Nathalie Daigle, et al.. (2018). Gain of CTCF-Anchored Chromatin Loops Marks the Exit from Naive Pluripotency. Cell Systems. 7(5). 482–495.e10. 57 indexed citations

Kalkan, Tüzer, Nelly Olova, Mila Roode, et al.. (2017). Tracking the embryonic stem cell transition from ground state pluripotency. Development. 144(7). 1221–1234. 196 indexed citations

10.

Krusche, Benjamin, Cristina Ottone, Melanie Clements, et al.. (2016). EphrinB2 drives perivascular invasion and proliferation of glioblastoma stem-like cells. eLife. 5. 78 indexed citations

11.

Boroviak, Thorsten, Remco Loos, Paul Bertone, Austin Smith, & Jennifer Nichols. (2014). The ability of inner-cell-mass cells to self-renew as embryonic stem cells is acquired following epiblast specification. Nature Cell Biology. 16(6). 513–525. 332 indexed citations breakdown →

12.

Castelo‐Branco, Gonçalo, Paulo Amaral, Pär G. Engström, et al.. (2013). The non-coding snRNA 7SKcontrols transcriptional termination, poising, and bidirectionality in embryonic stem cells. Genome biology. 14(9). R98–R98. 39 indexed citations

13.

Engström, Pär G., Botond Sipos, Gregory R. Grant, et al.. (2013). Systematic evaluation of spliced alignment programs for RNA-seq data. Nature Methods. 10(12). 1185–1191. 341 indexed citations

14.

Goldman, Nick, Paul Bertone, Siyuan Chen, et al.. (2013). Towards practical, high-capacity, low-maintenance information storage in synthesized DNA. Nature. 494(7435). 77–80. 738 indexed citations breakdown →

15.

Metzakopian, Emmanouil, Wei Lin, Mali Salmon‐Divon, et al.. (2012). Genome-wide characterization of Foxa2 targets reveals upregulation of floor plate genes and repression of ventrolateral genes in midbrain dopaminergic progenitors. Development. 139(14). 2625–2634. 44 indexed citations

16.

Git, Anna, Heidi Dvinge, Mali Salmon‐Divon, et al.. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA. 16(5). 991–1006. 542 indexed citations breakdown →

17.

Kind, Jop, Juan M. Vaquerizas, Philipp Gebhardt, et al.. (2008). Genome-wide Analysis Reveals MOF as a Key Regulator of Dosage Compensation and Gene Expression in Drosophila. Cell. 133(5). 813–828. 127 indexed citations

18.

Royce, Thomas, Joel Rozowsky, Paul Bertone, et al.. (2005). Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping. Trends in Genetics. 21(8). 466–475. 71 indexed citations

19.

Euskirchen, Ghia, Thomas Royce, Paul Bertone, et al.. (2004). CREB Binds to Multiple Loci on Human Chromosome 22. Molecular and Cellular Biology. 24(9). 3804–3814. 140 indexed citations

20.

Bertone, Paul & Mark Gerstein. (2001). Integrative data mining: the new direction in bioinformatics. IEEE Engineering in Medicine and Biology Magazine. 20(4). 33–40. 26 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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