Hai T. Dao

770 total citations
13 papers, 541 citations indexed

About

Hai T. Dao is a scholar working on Molecular Biology, Organic Chemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Hai T. Dao has authored 13 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Organic Chemistry and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Hai T. Dao's work include Protein Degradation and Inhibitors (5 papers), Genomics and Chromatin Dynamics (5 papers) and Chromatin Remodeling and Cancer (4 papers). Hai T. Dao is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Genomics and Chromatin Dynamics (5 papers) and Chromatin Remodeling and Cancer (4 papers). Hai T. Dao collaborates with scholars based in United States and Japan. Hai T. Dao's co-authors include Phil S. Baran, Chao Li, Quentin Michaudel, Brad D. Maxwell, Shu̅ Kobayashi, Uwe Schneider, Tom W. Muir, Geoffrey P. Dann, Nazar Mashtalir and Cigall Kadoch and has published in prestigious journals such as Science, Cell and Journal of the American Chemical Society.

In The Last Decade

Hai T. Dao

13 papers receiving 538 citations

Peers

Countries citing papers authored by Hai T. Dao

Since Specialization

Citations

This map shows the geographic impact of Hai T. Dao'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 Hai T. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai T. Dao more than expected).

Fields of papers citing papers by Hai T. Dao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai T. Dao. 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 Hai T. Dao. The network helps show where Hai T. Dao may publish in the future.

Co-authorship network of co-authors of Hai T. Dao

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Biophysical driving forces of heterochromatin organization 2022 ·Biophysical Journal ·Sangwoo Park, Michelle M. Mitchener, Hai T. Dao, Tom W. Muir, Taekjip Ha	1
2	Synthesis of Oriented Hexasomes and Asymmetric Nucleosomes Using a Template Editing Process 2022 ·Journal of the American Chemical Society ·Hai T. Dao, Hengyuan Liu, Nazar Mashtalir, Cigall Kadoch, Tom W. Muir	7
3	Chromatin landscape signals differentially dictate the activities of mSWI/SNF family complexes 2021 ·Science ·Nazar Mashtalir, Hai T. Dao, Akshay Sankar, Hengyuan Liu, (unknown), John D. Bagert, Eva J. Ge, (unknown), Martin Filipovski, Brittany C. Michel, Geoffrey P. Dann, Tom W. Muir, Cigall Kadoch	65
4	The nucleosome acidic patch and H2A ubiquitination underlie mSWI/SNF recruitment in synovial sarcoma 2020 ·Nature Structural & Molecular Biology ·Matthew J. McBride, Nazar Mashtalir, (unknown), Hai T. Dao, Martin Filipovski, (unknown), Hyuk‐Soo Seo, Neil T. Umbreit, Roodolph St. Pierre, Alfredo M. Valencia, (unknown), Hayley Zullow, Jacob D. Jaffe, Sirano Dhe‐Paganon, Tom W. Muir, Cigall Kadoch	37
5	A basic motif anchoring ISWI to nucleosome acidic patch regulates nucleosome spacing 2019 ·Nature Chemical Biology ·Hai T. Dao, Barbara E. Dul, Geoffrey P. Dann, Glen Liszczak, Tom W. Muir	58
6	Recurrent SMARCB1 Mutations Reveal a Nucleosome Acidic Patch Interaction Site That Potentiates mSWI/SNF Complex Chromatin Remodeling 2019 ·Cell ·Alfredo M. Valencia, Clayton K. Collings, Hai T. Dao, Roodolph St. Pierre, Yung‐Chih Cheng, Junwei Huang, Zhenyu Sun, Hyuk‐Soo Seo, Nazar Mashtalir, Dawn E. Comstock, (unknown), (unknown), Zoe C. Yeoh, (unknown), (unknown), Lee Barrett, Sirano Dhe‐Paganon, Clifford J. Woolf, Tom W. Muir, Cigall Kadoch	76
7	Hydromethylation of Unactivated Olefins 2015 ·Journal of the American Chemical Society ·Hai T. Dao, Chao Li, Quentin Michaudel, Brad D. Maxwell, Phil S. Baran	148
8	Quinone Diazides for Olefin Functionalization 2014 ·Angewandte Chemie International Edition ·Hai T. Dao, Phil S. Baran	56
9	Quinone Diazides for Olefin Functionalization 2014 ·Angewandte Chemie ·Hai T. Dao, Phil S. Baran	16
10	Boron-based pronucleophiles in catalytic (asymmetric) C(sp3)–allyl cross-couplings 2012 ·Pure and Applied Chemistry ·Uwe Schneider, Yiyong Huang, (unknown), Hai T. Dao, (unknown), Shu̅ Kobayashi	7
11	“Design” of Boron‐Based Compounds as Pro‐Nucleophiles and Co‐Catalysts for Indium(I)‐Catalyzed Allyl Transfer to Various Csp³‐Type Electrophiles 2011 ·Chemistry - An Asian Journal ·Hai T. Dao, Uwe Schneider, Shu̅ Kobayashi	14
12	Indium(i)-catalyzed alkyl–allyl coupling between ethers and an allylborane 2010 ·Chemical Communications ·Hai T. Dao, Uwe Schneider, Shu̅ Kobayashi	23
13	Unusual Carbon−Carbon Bond Formations between Allylboronates and Acetals or Ketals Catalyzed by a Peculiar Indium(I) Lewis Acid 2010 ·Organic Letters ·Uwe Schneider, Hai T. Dao, Shu̅ Kobayashi	33

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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