Joanna Wysocka

28.5k total citations · 16 hit papers
112 papers, 19.5k citations indexed

About

Joanna Wysocka is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Joanna Wysocka has authored 112 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 16 papers in Genetics and 14 papers in Plant Science. Recurrent topics in Joanna Wysocka's work include Genomics and Chromatin Dynamics (41 papers), Epigenetics and DNA Methylation (30 papers) and RNA Research and Splicing (20 papers). Joanna Wysocka is often cited by papers focused on Genomics and Chromatin Dynamics (41 papers), Epigenetics and DNA Methylation (30 papers) and RNA Research and Splicing (20 papers). Joanna Wysocka collaborates with scholars based in United States, Poland and Belgium. Joanna Wysocka's co-authors include Tomek Swigut, C. David Allis, Eliezer Calo, Ryan A. Flynn, Álvaro Rada-Iglesias, Winship Herr, Ruchi Bajpai, Samantha A. Brugmann, Alexander J. Ruthenburg and Sara L. Prescott and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Joanna Wysocka

108 papers receiving 19.3k citations

Hit Papers

A unique chromatin signat... 2004 2026 2011 2018 2010 2011 2011 2013 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Wysocka United States 51 16.6k 2.7k 2.4k 2.0k 1.4k 112 19.5k
Xiang‐Dong Fu United States 84 19.8k 1.2× 3.7k 1.4× 1.6k 0.7× 1.8k 0.9× 1.1k 0.8× 207 23.1k
Andrew J. Bannister United Kingdom 52 20.1k 1.2× 2.3k 0.9× 2.8k 1.2× 2.1k 1.1× 1.8k 1.2× 84 23.5k
Ali Shilatifard United States 92 26.0k 1.6× 2.2k 0.8× 2.5k 1.0× 2.4k 1.2× 1.6k 1.1× 257 29.4k
Kairong Cui United States 58 17.9k 1.1× 2.0k 0.7× 2.6k 1.1× 1.8k 0.9× 4.0k 2.8× 117 22.2k
Frank Lyko Germany 67 13.3k 0.8× 2.7k 1.0× 2.4k 1.0× 904 0.4× 922 0.7× 161 16.4k
Huck‐Hui Ng Singapore 60 19.4k 1.2× 1.8k 0.7× 3.6k 1.5× 2.1k 1.0× 909 0.6× 113 21.7k
Jeanne B. Lawrence United States 60 12.8k 0.8× 3.7k 1.4× 3.7k 1.5× 1.4k 0.7× 1.2k 0.9× 143 15.8k
Jiannis Ragoussis United Kingdom 60 9.3k 0.6× 5.3k 1.9× 3.0k 1.2× 1.0k 0.5× 1.9k 1.4× 227 14.5k
Robert E. Kingston United States 92 27.8k 1.7× 3.4k 1.3× 4.1k 1.7× 3.3k 1.6× 2.0k 1.4× 259 31.2k
Gregory E. Crawford United States 56 13.8k 0.8× 1.5k 0.6× 3.4k 1.4× 1.5k 0.7× 1.2k 0.9× 120 16.2k

Countries citing papers authored by Joanna Wysocka

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Wysocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Wysocka

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Wysocka. A scholar is included among the top collaborators of Joanna Wysocka 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 Joanna Wysocka. Joanna Wysocka 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.
Naqvi, Sahin, Hanne Hoskens, Meng Yuan, et al.. (2025). Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS. Communications Biology. 8(1). 439–439.
2.
Naqvi, Sahin, Seungsoo Kim, Anusri Pampari, et al.. (2025). Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage. Cell Genomics. 5(3). 100780–100780. 5 indexed citations
3.
Pinkham, Amy E., et al.. (2025). Recognizing communicative intentions from single- and dyadic point light displays in autistic adults. Social Neuroscience. 20(6). 306–318.
4.
Haman, Maciej, et al.. (2024). Unveiling the neural dynamics of the theory of mind: a fMRI study on belief processing phases. Social Cognitive and Affective Neuroscience. 19(1). 1 indexed citations
5.
Mohammed, Jaaved, Harold Matthews, Susan Walsh, et al.. (2024). A common cis-regulatory variant impacts normal-range and disease-associated human facial shape through regulation of PKDCC during chondrogenesis. eLife. 13. 1 indexed citations
6.
Chen, Liangfu, Tomek Swigut, David Yao, et al.. (2024). Long-range regulation of transcription scales with genomic distance in a gene-specific manner. Molecular Cell. 85(2). 347–361.e7. 9 indexed citations
7.
Hoskens, Hanne, Ryan J. Eller, Anthony M. Musolf, et al.. (2023). Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape. Nature Communications. 14(1). 7436–7436. 13 indexed citations
8.
Bernstein, Emily, Sharon Dent, Yali Dou, et al.. (2023). C. David Allis (1951–2023). Cell. 186(4). 663–667. 1 indexed citations
9.
Pluta, Agnieszka, et al.. (2022). Does the TPJ fit it all? Representational similarity analysis of different forms of mentalizing. Social Neuroscience. 17(5). 428–440. 10 indexed citations
10.
Zalc, Antoine, Rahul Sinha, Gunsagar S. Gulati, et al.. (2021). Reactivation of the pluripotency program precedes formation of the cranial neural crest. Science. 371(6529). 89 indexed citations
11.
Bleckwehl, Tore, Giuliano Crispatzu, Patricia Respuela, et al.. (2021). Enhancer-associated H3K4 methylation safeguards in vitro germline competence. Nature Communications. 12(1). 5771–5771. 23 indexed citations
12.
Gu, Bo, Tomek Swigut, Andrew Spencley, et al.. (2018). Transcription-coupled changes in nuclear mobility of mammalian cis-regulatory elements. Science. 359(6379). 1050–1055. 242 indexed citations
13.
Okuno, Hironobu, Shigeki Ohta, Kimiko Fukuda, et al.. (2017). CHARGE syndrome modeling using patient-iPSCs reveals defective migration of neural crest cells harboring CHD7 mutations. eLife. 6. 44 indexed citations
14.
Brinkley, James F., Shannon Fisher, Matthew P. Harris, et al.. (2016). The FaceBase Consortium: A comprehensive resource for craniofacial researchers. Development. 143(14). 2677–88. 41 indexed citations
15.
Long, Hannah K., Sara L. Prescott, & Joanna Wysocka. (2016). Ever-Changing Landscapes: Transcriptional Enhancers in Development and Evolution. Cell. 167(5). 1170–1187. 607 indexed citations breakdown →
16.
Blenkinsop, Timothy A., Álvaro Rada-Iglesias, Joanna Wysocka, & Sally Temple. (2013). Histone marks predict cell plasticity of the adult human retinal pigment epithelium. Investigative Ophthalmology & Visual Science. 54(15). 2616–2616. 1 indexed citations
17.
Tan, Minjia, Hao Luo, Sangkyu Lee, et al.. (2011). Identification of 67 Histone Marks and Histone Lysine Crotonylation as a New Type of Histone Modification. Cell. 146(6). 1016–1028. 1385 indexed citations breakdown →
18.
Rada-Iglesias, Álvaro, Ruchi Bajpai, Tomek Swigut, et al.. (2010). A unique chromatin signature uncovers early developmental enhancers in humans. Nature. 470(7333). 279–283. 1645 indexed citations breakdown →
19.
Lim, Daniel A., Yin-Cheng Huang, Tomek Swigut, et al.. (2009). Chromatin remodelling factor Mll1 is essential for neurogenesis from postnatal neural stem cells. Nature. 458(7237). 529–533. 293 indexed citations
20.
Wang, Yanming, Joanna Wysocka, Joyce Sayegh, et al.. (2004). Human PAD4 Regulates Histone Arginine Methylation Levels via Demethylimination. Science. 306(5694). 279–283. 774 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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