Ting-Hai Xu

3.5k total citations · 1 hit paper
17 papers, 2.1k citations indexed

About

Ting-Hai Xu is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Ting-Hai Xu has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Ting-Hai Xu's work include Alzheimer's disease research and treatments (4 papers), Epigenetics and DNA Methylation (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Ting-Hai Xu is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Epigenetics and DNA Methylation (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Ting-Hai Xu collaborates with scholars based in United States, China and Philippines. Ting-Hai Xu's co-authors include Karsten Melcher, H. Eric Xu, Yan Yan, Yi Jiang, X. Edward Zhou, Gongpu Zhao, Heng Liu, Lei Wang, Yanyong Kang and Youwen Zhuang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ting-Hai Xu

16 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Amyloid beta: structure, biology and structure-based therapeutic development

2017 1.4k citations Ting-Hai Xu, Yan Yan et al. Acta Pharmacologica Sinica profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ting-Hai Xu	1.0k	980	420	249	215	17	2.1k
Suhail Rasool	792 0.8×	1.3k 1.3×	278 0.7×	248 1.0×	371 1.7×	31	1.8k
Hans‐Wolfgang Klafki	914 0.9×	1.5k 1.6×	397 0.9×	248 1.0×	350 1.6×	61	2.3k
Maíra A. Bicca	537 0.5×	813 0.8×	305 0.7×	280 1.1×	178 0.8×	31	1.7k
Michael Lee	1.2k 1.2×	1.8k 1.9×	607 1.4×	242 1.0×	211 1.0×	33	2.6k
Thomas Dyrks	1.1k 1.1×	1.8k 1.8×	436 1.0×	388 1.6×	286 1.3×	32	2.3k
Shiqiang Yan	1.1k 1.0×	1.1k 1.1×	278 0.7×	269 1.1×	325 1.5×	52	2.1k
Tinyi Chu	815 0.8×	659 0.7×	348 0.8×	236 0.9×	364 1.7×	20	1.9k
Kerensa Broersen	1.3k 1.3×	1.8k 1.8×	459 1.1×	369 1.5×	286 1.3×	45	3.1k
Natalia N. Nalivaeva	1.2k 1.1×	1.5k 1.5×	542 1.3×	511 2.1×	298 1.4×	91	2.8k

Countries citing papers authored by Ting-Hai Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ting-Hai Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Hai Xu. 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 Ting-Hai Xu. The network helps show where Ting-Hai Xu may publish in the future.

Co-authorship network of co-authors of Ting-Hai Xu

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

All Works

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17 of 17 papers shown

Yan, Yan, X. Edward Zhou, Stacey L. Thomas, et al.. (2025). Mechanisms of DNMT3A–3L-mediated de novo DNA methylation on chromatin. Nature Structural & Molecular Biology. 33(1). 171–183.

Thomas, Stacey L., Ting-Hai Xu, Steven Pierce, et al.. (2023). DNA strand asymmetry generated by CpG hemimethylation has opposing effects on CTCF binding. Nucleic Acids Research. 51(12). 5997–6005. 9 indexed citations

Xuan, Hongwen, Longxia Xu, Kuai Li, et al.. (2023). Hotspot Cancer Mutation Impairs KAT8-mediated Nucleosomal Histone Acetylation. Journal of Molecular Biology. 436(7). 168413–168413. 3 indexed citations

Yan, Yan, Somnath Mukherjee, Kaleeckal G. Harikumar, et al.. (2021). Structure of an AMPK complex in an inactive, ATP-bound state. Science. 373(6553). 413–419. 74 indexed citations

Xu, Ting-Hai, Minmin Liu, X. Edward Zhou, et al.. (2020). Structure of nucleosome-bound DNA methyltransferases DNMT3A and DNMT3B. Nature. 586(7827). 151–155. 80 indexed citations

Zhuang, Youwen, Heng Liu, X. Edward Zhou, et al.. (2020). Structure of formylpeptide receptor 2-Gi complex reveals insights into ligand recognition and signaling. Nature Communications. 11(1). 885–885. 85 indexed citations

Xing, Changrui, Youwen Zhuang, Ting-Hai Xu, et al.. (2020). Cryo-EM Structure of the Human Cannabinoid Receptor CB2-Gi Signaling Complex. Cell. 180(4). 645–654.e13. 174 indexed citations

Yan, Yan, Ting-Hai Xu, Kaleeckal G. Harikumar, & Laurence J. Miller. (2017). Bioluminescence Resonance Energy Transfer assay (BRET assay). BIO-PROTOCOL. 7(24). 5 indexed citations

Xu, Ting-Hai, et al.. (2017). Amyloid beta: structure, biology and structure-based therapeutic development. Acta Pharmacologica Sinica. 38(9). 1205–1235. 1377 indexed citations breakdown →

10.

Xu, Ting-Hai, Yan Yan, Kaleeckal G. Harikumar, & Laurence J. Miller. (2017). Streptavidin bead pulldown assay to determine homooligomerization. BIO-PROTOCOL. 7(24). 2 indexed citations

11.

Yan, Yan, Ting-Hai Xu, Kaleeckal G. Harikumar, et al.. (2017). Dimerization of the transmembrane domain of amyloid precursor protein is determined by residues around the γ-secretase cleavage sites. Journal of Biological Chemistry. 292(38). 15826–15837. 22 indexed citations

12.

Yan, Yan, Ting-Hai Xu, Karsten Melcher, & H. Eric Xu. (2017). Defining the minimum substrate and charge recognition model of gamma-secretase. Acta Pharmacologica Sinica. 38(10). 1412–1424. 20 indexed citations

13.

Yan, Yan, Ting-Hai Xu, Kaleeckal G. Harikumar, & Laurence J. Miller. (2017). Cell-based assays for C99 interactions-Tango assays. BIO-PROTOCOL. 7(24). 1 indexed citations

14.

Ma, Honglei, Jingbo Duan, Jiyuan Ke, et al.. (2017). A D53 repression motif induces oligomerization of TOPLESS corepressors and promotes assembly of a corepressor-nucleosome complex. Science Advances. 3(6). e1601217–e1601217. 69 indexed citations

15.

Xu, Ting-Hai, Yan Yan, Yanyong Kang, et al.. (2016). Alzheimer’s disease-associated mutations increase amyloid precursor protein resistance to γ-secretase cleavage and the Aβ42/Aβ40 ratio. Cell Discovery. 2(1). 16026–16026. 62 indexed citations

16.

Weiss, William A., Shirin Ilkhanizadeh, Ming Lu, et al.. (2014). MTOR KINASE INHIBITORS AND APOPTOSIS IN GLIOBLASTOMA. Neuro-Oncology. 16(suppl 3). iii31–iii31. 3 indexed citations

17.

Ma, Dik‐Lung, Ting-Hai Xu, Daniel Shiu‐Hin Chan, et al.. (2011). A highly selective, label-free, homogenous luminescent switch-on probe for the detection of nanomolar transcription factor NF-kappaB. Nucleic Acids Research. 39(10). e67–e67. 83 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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