Michaela Pagani

6.2k total citations · 2 hit papers
25 papers, 4.3k citations indexed

About

Michaela Pagani is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Michaela Pagani has authored 25 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Michaela Pagani's work include Genomics and Chromatin Dynamics (17 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (7 papers). Michaela Pagani is often cited by papers focused on Genomics and Chromatin Dynamics (17 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (7 papers). Michaela Pagani collaborates with scholars based in Austria, United States and Germany. Michaela Pagani's co-authors include Thomas Jenuwein, Dónal O’Carroll, Alexander Stark, Antoine H.F.M. Peters, Susanne Opravil, Katharina Schernhuber, Sylvia Erhardt, Sheila C. Barton, M. Azim Surani and Cosmas D. Arnold and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michaela Pagani

25 papers receiving 4.3k citations

Hit 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.

Loss of the Suv39h Histone Methyltransferases Impairs Mammalian Heterochromatin and Genome Stability

2001 1.4k citations Antoine H.F.M. Peters, Dónal O’Carroll et al. Cell profile →
The Polycomb-Group GeneEzh2 Is Required for Early Mouse Development

2001 698 citations Dónal O’Carroll, Michaela Pagani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaela Pagani Austria	16	4.0k	718	610	223	150	25	4.3k
Bernd Schuettengruber France	20	3.8k 1.0×	560 0.8×	826 1.4×	357 1.6×	207 1.4×	27	4.2k
Jafar Sharif Japan	26	3.1k 0.8×	706 1.0×	318 0.5×	382 1.7×	124 0.8×	44	3.4k
Ulrich Braunschweig Canada	21	4.0k 1.0×	492 0.7×	762 1.2×	401 1.8×	92 0.6×	28	4.3k
Gabriel E. Zentner United States	30	2.9k 0.7×	484 0.7×	439 0.7×	215 1.0×	126 0.8×	55	3.5k
Marek Bartkuhn Germany	28	2.5k 0.6×	515 0.7×	551 0.9×	216 1.0×	234 1.6×	65	3.0k
Francisco Antequera Spain	24	3.0k 0.8×	740 1.0×	517 0.8×	224 1.0×	164 1.1×	48	3.4k
Christian Schöfer Austria	21	2.6k 0.7×	421 0.6×	429 0.7×	156 0.7×	258 1.7×	61	3.2k
Michael Bulger United States	25	3.4k 0.9×	448 0.6×	477 0.8×	235 1.1×	120 0.8×	42	3.9k
Chin‐Tong Ong Singapore	19	3.3k 0.8×	493 0.7×	675 1.1×	361 1.6×	223 1.5×	28	3.9k
Benjamin Leblanc France	12	4.0k 1.0×	584 0.8×	930 1.5×	439 2.0×	243 1.6×	15	4.4k

Countries citing papers authored by Michaela Pagani

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Pagani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Pagani

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Pagani. A scholar is included among the top collaborators of Michaela Pagani 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 Michaela Pagani. Michaela Pagani 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

Loubière, Vincent, Ramesh Yelagandula, Michaela Pagani, et al.. (2024). Proteome-scale tagging and functional screening in mammalian cells by ORFtag. Nature Methods. 21(9). 1668–1673. 4 indexed citations

Loubière, Vincent, Bernardo P. de Almeida, Michaela Pagani, & Alexander Stark. (2024). Developmental and housekeeping transcriptional programs display distinct modes of enhancer-enhancer cooperativity in Drosophila. Nature Communications. 15(1). 8584–8584. 8 indexed citations

Jacobs, Jelle, et al.. (2023). Widespread regulatory specificities between transcriptional co-repressors and enhancers in Drosophila. Science. 381(6654). 198–204. 11 indexed citations

Almeida, Bernardo P. de, Christoph Schaub, Michaela Pagani, et al.. (2023). Targeted design of synthetic enhancers for selected tissues in the Drosophila embryo. Nature. 626(7997). 207–211. 41 indexed citations

Kienle, Eike, Martin Oti, María Méndez-Lago, et al.. (2023). An unbiased AAV-STARR-seq screen revealing the enhancer activity map of genomic regions in the mouse brain in vivo. Scientific Reports. 13(1). 6745–6745. 10 indexed citations

Almeida, Bernardo P. de, Franziska Reiter, Michaela Pagani, & Alexander Stark. (2022). DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers. Nature Genetics. 54(5). 613–624. 133 indexed citations

Neumayr, Christoph, Vanja Haberle, Leonid Serebreni, et al.. (2022). Differential cofactor dependencies define distinct types of human enhancers. Nature. 606(7913). 406–413. 55 indexed citations

Neumayr, Christoph, Michaela Pagani, Alexander Stark, & Cosmas D. Arnold. (2019). STARR‐seq and UMI‐STARR‐seq: Assessing Enhancer Activities for Genome‐Wide‐, High‐, and Low‐Complexity Candidate Libraries. Current Protocols in Molecular Biology. 128(1). e105–e105. 43 indexed citations

Muerdter, Felix, Łukasz M. Boryń, Ashley R. Woodfin, et al.. (2017). qPCR assay to measure ISG expression in human cells. Protocol Exchange. 1 indexed citations

10.

Muerdter, Felix, Łukasz M. Boryń, Ashley R. Woodfin, et al.. (2017). STARR-seq Screening protocol. Protocol Exchange. 1 indexed citations

11.

Muerdter, Felix, Łukasz M. Boryń, Ashley R. Woodfin, et al.. (2017). Resolving systematic errors in widely used enhancer activity assays in human cells. Nature Methods. 15(2). 141–149. 107 indexed citations

12.

Shlyueva, Daria, Antonio C.A. Meireles-Filho, Michaela Pagani, & Alexander Stark. (2016). Genome-Wide Ultrabithorax Binding Analysis Reveals Highly Targeted Genomic Loci at Developmental Regulators and a Potential Connection to Polycomb-Mediated Regulation. PLoS ONE. 11(8). e0161997–e0161997. 12 indexed citations

13.

Arnold, Cosmas D., Muhammad A. Zabidi, Michaela Pagani, et al.. (2016). Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution. Nature Biotechnology. 35(2). 136–144. 61 indexed citations

14.

Zabidi, Muhammad A., Cosmas D. Arnold, Katharina Schernhuber, et al.. (2014). Enhancer–core-promoter specificity separates developmental and housekeeping gene regulation. Nature. 518(7540). 556–559. 314 indexed citations

15.

Arnold, Cosmas D., Daniel Gerlach, Daniel Spies, et al.. (2014). Quantitative genome-wide enhancer activity maps for five Drosophila species show functional enhancer conservation and turnover during cis-regulatory evolution. Nature Genetics. 46(7). 685–692. 124 indexed citations

16.

Kvon, Evgeny Z., Tomáš Kazmar, Gerald Stampfel, et al.. (2014). Genome-scale functional characterization of Drosophila developmental enhancers in vivo. Nature. 512(7512). 91–95. 309 indexed citations

17.

Bulut-Karslıoğlu, Aydan, Valentina Perrera, Inti A. De La Rosa-Velázquez, et al.. (2012). A transcription factor–based mechanism for mouse heterochromatin formation. Nature Structural & Molecular Biology. 19(10). 1023–1030. 138 indexed citations

18.

Schotta, Gunnar, Roopsha Sengupta, Stefan Kubicek, et al.. (2008). A chromatin-wide transition to H4K20 monomethylation impairs genome integrity and programmed DNA rearrangements in the mouse. Genes & Development. 22(15). 2048–2061. 348 indexed citations

19.

Peters, Antoine H.F.M., Jacqueline E. Mermoud, Dónal O’Carroll, et al.. (2001). Histone H3 lysine 9 methylation is an epigenetic imprint of facultative heterochromatin. Nature Genetics. 30(1). 77–80. 402 indexed citations

20.

Peters, Antoine H.F.M., Dónal O’Carroll, Harry Scherthan, et al.. (2001). Loss of the Suv39h Histone Methyltransferases Impairs Mammalian Heterochromatin and Genome Stability. Cell. 107(3). 323–337. 1356 indexed citations breakdown →

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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