Gregory M.K. Poon

2.0k total citations
54 papers, 1.1k citations indexed

About

Gregory M.K. Poon is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gregory M.K. Poon has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gregory M.K. Poon's work include DNA and Nucleic Acid Chemistry (24 papers), Genomics and Chromatin Dynamics (17 papers) and RNA and protein synthesis mechanisms (14 papers). Gregory M.K. Poon is often cited by papers focused on DNA and Nucleic Acid Chemistry (24 papers), Genomics and Chromatin Dynamics (17 papers) and RNA and protein synthesis mechanisms (14 papers). Gregory M.K. Poon collaborates with scholars based in United States, Canada and Egypt. Gregory M.K. Poon's co-authors include Jean Gariépy, W. David Wilson, Robert B. Macgregor, John J. Wyrick, Manoj Munde, Andrew J. McCluskey, Peng Mao, Steven A. Roberts, Abdelbasset A. Farahat and Arvind Kumar and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Gregory M.K. Poon

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory M.K. Poon United States 19 911 148 121 89 76 54 1.1k
Arnab Rudra United States 10 953 1.0× 207 1.4× 191 1.6× 62 0.7× 114 1.5× 15 1.2k
Stephen M. Fuchs United States 20 1.8k 2.0× 82 0.6× 188 1.6× 60 0.7× 101 1.3× 42 2.0k
Richard I. Hogrefe United States 16 1.1k 1.2× 81 0.5× 157 1.3× 136 1.5× 67 0.9× 27 1.2k
Edward J. Sayers United Kingdom 15 710 0.8× 106 0.7× 80 0.7× 57 0.6× 95 1.3× 27 980
Benjamin T. Porebski Australia 19 769 0.8× 173 1.2× 122 1.0× 27 0.3× 76 1.0× 30 1.1k
N. Tochio Japan 23 997 1.1× 153 1.0× 97 0.8× 25 0.3× 85 1.1× 54 1.4k
Gisela Lättig-Tünnemann Germany 16 1.4k 1.5× 234 1.6× 237 2.0× 78 0.9× 76 1.0× 25 1.7k
Lenka Kundrat United States 11 918 1.0× 127 0.9× 49 0.4× 40 0.4× 171 2.3× 12 1.1k
Berndt Oberhauser Austria 18 1.1k 1.2× 113 0.8× 278 2.3× 35 0.4× 73 1.0× 26 1.3k
Christopher S. Theile United States 16 955 1.0× 141 1.0× 62 0.5× 88 1.0× 202 2.7× 26 1.2k

Countries citing papers authored by Gregory M.K. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M.K. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M.K. Poon. 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 Gregory M.K. Poon. The network helps show where Gregory M.K. Poon may publish in the future.

Co-authorship network of co-authors of Gregory M.K. Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M.K. Poon. A scholar is included among the top collaborators of Gregory M.K. Poon 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 Gregory M.K. Poon. Gregory M.K. Poon 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.
Paul, Ananya, et al.. (2024). Structure of an RNA G-quadruplex from the West Nile virus genome. Nature Communications. 15(1). 5428–5428. 12 indexed citations
2.
Paul, Ananya, et al.. (2024). Single GC base pair recognition by a heterocyclic diamidine: structures, affinities, and dynamics. RSC Advances. 14(40). 29675–29682. 1 indexed citations
3.
Poon, Gregory M.K., et al.. (2023). Detecting recurrent passenger mutations in melanoma by targeted UV damage sequencing. Nature Communications. 14(1). 2702–2702. 13 indexed citations
4.
Lee, Sang‐Choon, et al.. (2020). Intrinsic disorder controls two functionally distinct dimers of the master transcription factor PU.1. Science Advances. 6(8). eaay3178–eaay3178. 19 indexed citations
5.
Farahat, Abdelbasset A., et al.. (2020). Dissecting Dynamic and Hydration Contributions to Sequence-Dependent DNA Minor Groove Recognition. Biophysical Journal. 119(7). 1402–1415. 2 indexed citations
6.
Afek, Ariel, Honglue Shi, Atul Rangadurai, et al.. (2020). DNA mismatches reveal conformational penalties in protein–DNA recognition. Nature. 587(7833). 291–296. 84 indexed citations
7.
Bashkin, James K., et al.. (2019). Modulating DNA by polyamides to regulate transcription factor PU.1-DNA binding interactions. Biochimie. 167. 1–11. 7 indexed citations
8.
Mao, Peng, Alexander J. Brown, Gregory M.K. Poon, et al.. (2018). ETS transcription factors induce a unique UV damage signature that drives recurrent mutagenesis in melanoma. Nature Communications. 9(1). 2626–2626. 95 indexed citations
9.
Farahat, Abdelbasset A., et al.. (2018). DNA recognition by linear indole-biphenyl DNA minor groove ligands. Biophysical Chemistry. 245. 6–16. 4 indexed citations
10.
Huang, Kenneth, et al.. (2017). Distinct Roles for Interfacial Hydration in Site-Specific DNA Recognition by ETS-Family Transcription Factors. The Journal of Physical Chemistry B. 121(13). 2748–2758. 12 indexed citations
11.
Huang, Kenneth, et al.. (2017). Investigation of the electrostatic and hydration properties of DNA minor groove-binding by a heterocyclic diamidine by osmotic pressure. Biophysical Chemistry. 231. 95–104. 5 indexed citations
12.
Evich, Marina G., et al.. (2017). Multiple DNA-binding modes for the ETS family transcription factor PU.1. Journal of Biological Chemistry. 292(39). 16044–16054. 7 indexed citations
13.
Vo, Tam, et al.. (2017). Electrostatic control of DNA intersegmental translocation by the ETS transcription factor ETV6. Journal of Biological Chemistry. 292(32). 13187–13196. 6 indexed citations
14.
Poon, Gregory M.K., et al.. (2016). Differential sensitivity to methylated DNA by ETS-family transcription factors is intrinsically encoded in their DNA-binding domains. Nucleic Acids Research. 44(18). 8671–8681. 25 indexed citations
15.
Kumar, Arvind, et al.. (2016). Pharmacologic efficacy of PU.1 inhibition by heterocyclic dications: a mechanistic analysis. Nucleic Acids Research. 44(9). 4005–4013. 27 indexed citations
16.
Poon, Gregory M.K., et al.. (2014). Prodrug Applications for Targeted Cancer Therapy. The AAPS Journal. 16(5). 899–913. 85 indexed citations
17.
McCluskey, Andrew J., Gregory M.K. Poon, Eleonora Bolewska‐Pedyczak, et al.. (2008). The Catalytic Subunit of Shiga-like Toxin 1 Interacts with Ribosomal Stalk Proteins and is Inhibited by Their Conserved C-Terminal Domain. Journal of Molecular Biology. 378(2). 375–386. 65 indexed citations
18.
Poon, Gregory M.K., et al.. (2006). Tandem Dimerization of the Human p53 Tetramerization Domain Stabilizes a Primary Dimer Intermediate and Dramatically Enhances its Oligomeric Stability. Journal of Molecular Biology. 365(4). 1217–1231. 24 indexed citations
19.
Poon, Gregory M.K., et al.. (2005). The importance of valency in enhancing the import and cell routing potential of protein transduction domain-containing molecules. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(3). 355–363. 41 indexed citations
20.
Poon, Gregory M.K. & Robert B. Macgregor. (2003). A Thermodynamic Basis of DNA Sequence Selectivity by the ETS Domain of Murine PU.1. Journal of Molecular Biology. 335(1). 113–127. 15 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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