Hongqi Ai

1.3k total citations
81 papers, 1.1k citations indexed

About

Hongqi Ai is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Hongqi Ai has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Physiology and 18 papers in Spectroscopy. Recurrent topics in Hongqi Ai's work include Alzheimer's disease research and treatments (21 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Protein Structure and Dynamics (13 papers). Hongqi Ai is often cited by papers focused on Alzheimer's disease research and treatments (21 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Protein Structure and Dynamics (13 papers). Hongqi Ai collaborates with scholars based in China, South Korea and United States. Hongqi Ai's co-authors include Yuxiang Bu, Baotao Kang, Jin Yong Lee, Ping Li, Wei Zhao, Keli Han, Si Wu, Ping Li, Xueying Zhu and Yuan Yuan and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Hongqi Ai

79 papers receiving 1.1k citations

Peers

Countries citing papers authored by Hongqi Ai

Since Specialization

Citations

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

Fields of papers citing papers by Hongqi Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongqi Ai

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deciphering the full-length PrP^C_(23–231) receptor and characterizing the size/subphase-dependent impact of Aβ oligomers on the PrP^C_(23–231) receptor: insights from molecular dynamics simulations 2025 ·Physical Chemistry Chemical Physics ·Chuanbo Wang, (unknown), (unknown), Sajjad Ahmad, (unknown), Hongqi Ai	0
2	Fluorescence Detection and Inhibition Mechanisms of DNTPH on Aβ42 Oligomers Characterized as Products in the Four Stages of Aggregation 2024 ·ACS Chemical Neuroscience ·(unknown), Ye Li, Chuanbo Wang, (unknown), (unknown), Hongqi Ai	1
3	Aggregation Dynamics Characteristics of Seven Different Aβ Oligomeric Isoforms-Dependence on the Interfacial Interaction 2023 ·ACS Chemical Neuroscience ·(unknown), Ye Li, (unknown), (unknown), Wen Wu Xu, Chuanbo Wang, Hongqi Ai	5
4	Identification and characterization of the conformation and size of amyloid-β (42) oligomers targeting the receptor LilrB2 2023 ·Physical Chemistry Chemical Physics ·(unknown), (unknown), (unknown), Chuanbo Wang, (unknown), Sajjad Ahmad, Hongqi Ai	2
5	Origin of stronger binding of ionic pair (IP) inhibitor to Aβ42 than the equimolar neutral counterparts: synergy mechanism of IP in disrupting Aβ42 protofibril and inhibiting Aβ42 aggregation under two pH conditions 2023 ·Physical Chemistry Chemical Physics ·Wen Wu Xu, (unknown), Chuanbo Wang, Huijuan Yang, Xiaohong Ma, (unknown), Sajjad Ahmad, Hongqi Ai	1
6	Molecular engineering and activity improvement of acetylcholinesterase inhibitors: Insights from 3D-QSAR, docking, and molecular dynamics simulation studies 2022 ·Journal of Molecular Graphics and Modelling ·(unknown), Xiaohong Ma, Huijuan Yang, Yuxia Luan, Hongqi Ai	7
7	Identification of the probable structure of the sAPPα-GABA_BR1a complex and theoretical solutions for such cases 2022 ·Physical Chemistry Chemical Physics ·Huijuan Yang, (unknown), Wen Wu Xu, Xiaohong Ma, (unknown), Hongqi Ai	5
8	Toxicity Mechanism of Aβ42 Oligomer in the Binding between the GABA_BR1a sushi1 Domain and Amyloid Precursor Protein 9mer: A Mechanism like Substitution Reaction 2022 ·ACS Chemical Neuroscience ·(unknown), Huijuan Yang, Sajjad Ahmad, Xiaohong Ma, Wen Wu Xu, (unknown), Ye Li, Chuanbo Wang, Hongqi Ai	2
9	Molecular mechanisms of direct and indirect interplay between amyloid β42 oligomer and characteristic lipids 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Huijuan Yang, Xiaohong Ma, Hongqi Ai	1
10	Small-Molecule Targeted Aβ₄₂ Aggregate Degradation: Negatively Charged Small Molecules Are More Promising than the Neutral Ones 2021 ·ACS Chemical Neuroscience ·(unknown), Huijuan Yang, (unknown), (unknown), Hongqi Ai	12
11	γ-Graphyne nanotubes as defect-free catalysts of the oxygen reduction reaction: a DFT investigation 2020 ·Physical Chemistry Chemical Physics ·Yuan Yuan, Si Wu, Hongqi Ai, Jin Yong Lee, Baotao Kang	19
12	Folding dynamics of Aβ42 monomer at pH 4.0–7.5 with and without physiological salt conditions – does the β1 or β2 region fold first? 2020 ·New Journal of Chemistry ·(unknown), (unknown), Huijuan Yang, (unknown), Hongqi Ai	7
13	Tautomerization Effect of Histidines on Oligomer Aggregation of β-Amyloid(1–40/42) during the Early Stage: Tautomerism Hypothesis for Misfolding Protein Aggregation 2019 ·ACS Chemical Neuroscience ·(unknown), Wei Zhao, (unknown), Baotao Kang, Hu Shi, Jin Yong Lee, Hongqi Ai	32
14	Novel Disassembly Mechanisms of Sigmoid Aβ₄₂ Protofibrils by Introduced Neutral and Charged Drug Molecules 2019 ·ACS Chemical Neuroscience ·(unknown), (unknown), (unknown), Baotao Kang, Ping Li, Hongqi Ai	21
15	Synergy of sp-N and sp²-N codoping endows graphdiyne with comparable oxygen reduction reaction performance to Pt 2019 ·Nanoscale ·Baotao Kang, Si Wu, (unknown), Hongqi Ai, Jin Yong Lee	28
16	Effects of double-atom vacancies on the electronic properties of graphyne: a DFT investigation 2018 ·Physical Chemistry Chemical Physics ·Si Wu, (unknown), Hongqi Ai, Jin Yong Lee, Baotao Kang	10
17	Bead‐Level Characterization of Early‐Stage Amyloid β₄₂ Aggregates: Nuclei and Ionic Concentration Effects 2017 ·Chemistry - A European Journal ·(unknown), Wei Zhao, Yong Zhu, Hongqi Ai, Baotao Kang	6
18	Micro Galvanic Cell To Generate PtO and Extend the Triple-Phase Boundary during Self-Assembly of Pt/C and Nafion for Catalyst Layers of PEMFC 2017 ·ACS Applied Materials & Interfaces ·Zhi Long, Liqin Gao, Yankai Li, Baotao Kang, Jin Yong Lee, Junjie Ge, Changpeng Liu, (unknown), Jin Zhao, Hongqi Ai	16
19	Isobaric Vapor–Liquid Equilibrium for the Binary Systems of Sec-butyl Acetate and Ethanol, 1-Propanol, or 2-Propanol at 101.3 kPa 2017 ·Journal of Chemical & Engineering Data ·(unknown), Xueying Zhu, Yuchuan Li, (unknown), Jing Fang, Guoxin Sun, Fengjiao Zhang, Hongqi Ai, Cheng‐Han Yang	4
20	N-Terminus Binding Preference for Either Tanshinone or Analogue in Both Inhibition of Amyloid Aggregation and Disaggregation of Preformed Amyloid Fibrils—Toward Introducing a Kind of Novel Anti-Alzheimer Compounds 2017 ·ACS Chemical Neuroscience ·Mingyan Dong, Wei Zhao, (unknown), Hongqi Ai, Baotao Kang	22

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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