Shaun Mahony

5.3k total citations
63 papers, 2.6k citations indexed

About

Shaun Mahony is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Shaun Mahony has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Shaun Mahony's work include Genomics and Chromatin Dynamics (38 papers), RNA and protein synthesis mechanisms (20 papers) and RNA Research and Splicing (17 papers). Shaun Mahony is often cited by papers focused on Genomics and Chromatin Dynamics (38 papers), RNA and protein synthesis mechanisms (20 papers) and RNA Research and Splicing (17 papers). Shaun Mahony collaborates with scholars based in United States, Ireland and Germany. Shaun Mahony's co-authors include Panayiotis V. Benos, David K. Gifford, Yuchun Guo, B. Franklin Pugh, Esteban O. Mazzoni, Akshay Kakumanu, Hynek Wichterle, Philip E. Auron, Richard A. Young and Terry Smith and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Shaun Mahony

62 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaun Mahony United States 27 2.2k 355 302 202 172 63 2.6k
Ian J. Donaldson United Kingdom 26 1.6k 0.8× 355 1.0× 155 0.5× 179 0.9× 181 1.1× 51 2.1k
Elizabeth Nickerson United States 10 1.3k 0.6× 454 1.3× 338 1.1× 126 0.6× 131 0.8× 13 1.9k
Jessica Severin Japan 17 2.0k 0.9× 661 1.9× 296 1.0× 247 1.2× 219 1.3× 25 2.8k
Kornel Labun Norway 8 1.6k 0.7× 290 0.8× 193 0.6× 144 0.7× 117 0.7× 10 1.9k
Tristan Kooistra United States 9 2.7k 1.2× 474 1.3× 231 0.8× 452 2.2× 380 2.2× 16 3.6k
Fumihito Miura Japan 24 2.1k 1.0× 544 1.5× 197 0.7× 131 0.6× 191 1.1× 55 2.5k
Mônica Beltrame Italy 25 2.1k 1.0× 367 1.0× 175 0.6× 314 1.6× 157 0.9× 48 2.8k
Esther T. Chan United States 16 3.3k 1.5× 594 1.7× 275 0.9× 206 1.0× 492 2.9× 22 3.8k
Laurent‐Philippe Albou United States 7 1.2k 0.6× 254 0.7× 206 0.7× 155 0.8× 194 1.1× 9 1.9k
Manuela Haltmeier Germany 8 1.3k 0.6× 354 1.0× 248 0.8× 261 1.3× 223 1.3× 8 2.0k

Countries citing papers authored by Shaun Mahony

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Mahony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Mahony

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Mahony. A scholar is included among the top collaborators of Shaun Mahony 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 Shaun Mahony. Shaun Mahony 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.
Bonnell, Victoria A., Yuning Zhang, Alan S. Brown, et al.. (2024). DNA sequence and chromatin differentiate sequence-specific transcription factor binding in the human malaria parasite Plasmodium falciparum. Nucleic Acids Research. 52(17). 10161–10179. 6 indexed citations
2.
3.
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
4.
Pinglay, Sudarshan, Emily Huang, Ran Brosh, et al.. (2022). Synthetic regulatory reconstitution reveals principles of mammalian Hox cluster regulation. Science. 377(6601). eabk2820–eabk2820. 26 indexed citations
5.
Xiang, Guanjue, Belinda Giardine, Shaun Mahony, Yu Zhang, & Ross C. Hardison. (2021). S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types. Bioinformatics. 37(18). 3011–3013. 5 indexed citations
6.
Rossi, Matthew J., William Lai, Naomi Yamada, et al.. (2021). A high-resolution protein architecture of the budding yeast genome. Nature. 592(7853). 309–314. 126 indexed citations
7.
Yamada, Naomi, et al.. (2020). ChExMix: A Method for Identifying and Classifying Protein–DNA Interaction Subtypes. Journal of Computational Biology. 27(3). 429–435. 5 indexed citations
8.
Santos, Joana, Lindsey Orchard, Naomi Yamada, et al.. (2020). The PfAP2‐G2 transcription factor is a critical regulator of gametocyte maturation. Molecular Microbiology. 115(5). 1005–1024. 36 indexed citations
9.
Yamada, Naomi, Matthew J. Rossi, Nina Farrell, B. Franklin Pugh, & Shaun Mahony. (2020). Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes. Nucleic Acids Research. 48(20). 11215–11226. 2 indexed citations
10.
Srivastava, Divyanshi, Begüm Aydın, Esteban O. Mazzoni, & Shaun Mahony. (2020). seqcode/Bichrom v0.1.2. Figshare. 1 indexed citations
11.
Aydın, Begüm, Akshay Kakumanu, Mireia Moreno‐Estellés, et al.. (2019). Proneural factors Ascl1 and Neurog2 contribute to neuronal subtype identities by establishing distinct chromatin landscapes. Nature Neuroscience. 22(6). 897–908. 80 indexed citations
12.
Yamada, Naomi, William Lai, Nina Farrell, B. Franklin Pugh, & Shaun Mahony. (2018). Characterizing protein–DNA binding event subtypes in ChIP-exo data. Bioinformatics. 35(6). 903–913. 17 indexed citations
13.
Mahony, Shaun, et al.. (2017). miniMDS: 3D structural inference from high-resolution Hi-C data. Bioinformatics. 33(14). i261–i266. 52 indexed citations
14.
Kakumanu, Akshay, Silvia Velasco, Esteban O. Mazzoni, & Shaun Mahony. (2017). Deconvolving sequence features that discriminate between overlapping regulatory annotations. PLoS Computational Biology. 13(10). e1005795–e1005795. 8 indexed citations
15.
Han, G. Celine, Vinesh Vinayachandran, Alain R. Bataille, et al.. (2015). Genome-Wide Organization of GATA1 and TAL1 Determined at High Resolution. Molecular and Cellular Biology. 36(1). 157–172. 27 indexed citations
16.
Mahony, Shaun & B. Franklin Pugh. (2015). Protein–DNA binding in high-resolution. Critical Reviews in Biochemistry and Molecular Biology. 50(4). 269–283. 35 indexed citations
17.
Mazzoni, Esteban O., Shaun Mahony, Michael Closser, et al.. (2013). Synergistic binding of transcription factors to cell-specific enhancers programs motor neuron identity. Nature Neuroscience. 16(9). 1219–1227. 4 indexed citations
18.
Mazzoni, Esteban O., Shaun Mahony, Michelina Iacovino, et al.. (2011). Embryonic stem cell-based system for mapping developmental transcriptional programs. Europe PMC (PubMed Central). 58 indexed citations
19.
Mahony, Shaun & Panayiotis V. Benos. (2007). STAMP: a web tool for exploring DNA-binding motif similarities. Nucleic Acids Research. 35(Web Server). W253–W258. 371 indexed citations
20.
Mahony, Shaun, David A. Hendrix, Aaron Golden, Terry Smith, & Daniel S. Rokhsar. (2005). Transcription factor binding site identification using the self-organizing map. Computer applications in the biosciences. 21(9). 1807–1814. 50 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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