Tingjun Hou

39.1k citations

554 papers · 29.3k indexed · 17 hit papers · h-index 81

Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods 262
Molecular Biology top 0.1%
- Protein Structure and Dynamics 125
- Chemical Synthesis and Analysis 34
- Receptor Mechanisms and Signaling 32
- RNA and protein synthesis mechanisms 26
Pharmacology top 0.05%
Organic Chemistry top 0.2%
Toxicology top 0.2%
Materials Chemistry
- Machine Learning in Materials Science 83
Spectroscopy
- Analytical Chemistry and Chromatography 30
Genetics
- Estrogen and related hormone effects 24

Co-authors: Youyong Li Junmei Wang Huiyong Sun Zhe Wang Lei Xu Dongsheng Cao Wei Wang Sheng Tian
Cited by: Computational Theory and Mathematics Molecular Biology Pharmacology
Journals: Journal of Chemical Information and Modeling (69 papers)Briefings in Bioinformatics (33 papers)Journal of Medicinal Chemistry (30 papers)
Partner nations: China United States Macao

In The Last Decade

Tingjun Hou

532 papers receiving 28.9k citations

Hit Papers

15 papers align trajectories log scale

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.

2025 Science Advances
2025 Advanced Materials
2025 Drug Discovery Today
2024 Nucleic Acids Research
2024 Nucleic Acids Research
2021 Nucleic Acids Research
2021 Journal of Cheminformatics
2019 Chemical Reviews
2019 Nucleic Acids Research
2016 Physical Chemistry Chemical Physics
2016 Physical Chemistry Chemical Physics
2015 Advanced Drug Delivery Reviews
2014 Physical Chemistry Chemical Physics
2014 Physical Chemistry Chemical Physics
2013 The Journal of Physical Chemistry B
2010 Journal of Computational Chemistry
2010 Journal of Chemical Information and Modeling

Peers

Countries citing papers authored by Tingjun Hou

Since Specialization

Citations

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

Fields of papers citing papers by Tingjun Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tingjun Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tingjun Hou Line = papers co-authored together Tingjun Hou links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation Nature Communications ·Juliene Azevedo Oliveira,Jialu Wu,Tingjun Hou,Chang‐Yu Hsieh,(unknown)	2025	3
2	From Traditional Methods to Deep Learning Approaches: Advances in Protein–Protein Docking Wiley Interdisciplinary Reviews Computational Molecular Science ·Qin-Ling Wang,佳世青山,段作华,Hui Zhang,Chao Shen,Tingjun Hou	2025	2
3	CarsiDock-Cov: A deep learning-guided approach for automated covalent docking and screening Acta Pharmaceutica Sinica B ·Chao Shen,Hongyan Du,Xujun Zhang,Emma Howard,Devadula Eswara Saraswathi,Yu Kang,Peichen Pan,انتصار سكر خيون,Tingjun Hou	2025	1
4	FragGen: towards 3D geometry reliable fragment-based molecular generation Chemical Science ·Odin Zhang,Yufei Huang,Neng-Shun Wu,Η. Schuster-Šewe,Xujun Zhang,Haitao Lin,Yundian Zeng,Mingyang Wang,Zhenhua Wu,Mehri Shaghaghi,Zaixi Zhang,Husam Arar,Yu Kang,Sunliang Cui,Peichen Pan,Chang‐Yu Hsieh,Tingjun Hou	2024	2
5	Unlocking comprehensive molecular design across all scenarios with large language model and unordered chemical language Chemical Science ·С.А. Марченко,金宏奎,Yu Chen,Yufeng Cui,Xinda Zhao,Chao Shen,Xiangyang Ji,Chang‐Yu Hsieh,L. Zuccolo,Tingjun Hou,Yafeng Deng,Jike Wang	2024	5
6	ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning Nature Communications ·신유아,Shuai Li,Jike Wang,Odin Zhang,Hongyan Du,Dejun Jiang,鹿龙,Yafeng Deng,Yu Kang,Peichen Pan,Dan Li,Xiaorui Wang,Xiaojun Yao,Tingjun Hou,Chang‐Yu Hsieh	2024	10
7	Computationally guided discovery of novel non-steroidal AR-GR dual antagonists demonstrating potency against antiandrogen resistance Acta Pharmacologica Sinica ·Xin Chai,Xueping Hu,Xinyue Wang,Huating Wang,Jinping Pang,Wenfang Zhou,Ushakova Ns,Marileila Rodrigues Pacheco,Xiaohong Xu,Lei Xu,Hongguang Xia,Tingjun Hou,Dan Li	2023	8
8	RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction Nucleic Acids Research ·Yunxia Wang,Zhen Chen,Ziqi Pan,北京北京中医药大学基础医学院解剖学教研室,Jin Liu,Weiqi Xia,Hongning Zhang,Mingyue Zheng,Honglin Li,Tingjun Hou,Feng Zhu	2023	31
9	Discovery of a novel ROCK2 inhibitor with anti-migration effects via docking and high-content drug screening Molecular BioSystems ·Cheong‐Meng Chong,I. Miri,Peichen Pan,Hefeng Zhou,Nana Ai,Chuwen Li,Hai‐Jing Zhong,Chung‐Hang Leung,Tingjun Hou,Simon Ming‐Yuen Lee	2016	15
10	Ab initio phonon‐coupled nonadiabatic relaxation dynamics of [Au₂₅(SH)₁₈]⁻ clusters physica status solidi (b) ·Xue Chen,Oleg V. Prezhdo,S Glitter,Tingjun Hou,Zhenyu Guo,Youyong Li	2015	13
11	Exploring resistance mechanisms of HCV NS3/4A protease mutations to MK5172: insight from molecular dynamics simulations and free energy calculations Molecular BioSystems ·Yan Guan,Huiyong Sun,Peichen Pan,Youyong Li,Dan Li,Tingjun Hou	2015	18
12	Binding mechanisms of 1,4-dihydropyridine derivatives to L-type calcium channel Cav1.2: a molecular modeling study Molecular BioSystems ·Lei Xu,Dan Li,Tao Li,Yanling Yang,Youyong Li,Tingjun Hou	2015	23
13	Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study Molecular BioSystems ·Xuwen Wang,Peichen Pan,Youyong Li,Dan Li,Tingjun Hou	2014	14
14	Theoretical studies on beta and delta isoform-specific binding mechanisms of phosphoinositide 3-kinase inhibitors Molecular BioSystems ·Jingyu Zhu,Peichen Pan,Youyong Li,Man Wang,Dan Li,Biyin Cao,Xinliang Mao,Tingjun Hou	2013	17
15	Structural basis of the interactions between CXCR4 and CXCL12/SDF-1 revealed by theoretical approaches Molecular BioSystems ·Lei Xu,Youyong Li,Huiyong Sun,Dan Li,Tingjun Hou	2013	39
16	Discovery of Rho-kinase inhibitors by docking-based virtual screening Molecular BioSystems ·Mingyun Shen,Huidong Yu,Youyong Li,Pixu Li,Peichen Pan,Leila Hashemi Beni,Liling Zhang,Li Shang,Simon Ming‐Yuen Lee,Tingjun Hou	2013	48
17	Transport of nucleosides in the vcCNT facilitated by sodium gradients from molecular dynamics simulations Molecular BioSystems ·Zhiwei Feng,Tingjun Hou,Youyong Li	2013	4
18	New Use for an Old Drug: Inhibiting ABCG2 with Sorafenib Molecular Cancer Therapeutics ·Yinxiang Wei,Yuanfang Ma,Qing Zhao,Zhiguang Ren,Yan Li,Tingjun Hou,Hui Peng	2012	40
19	Understanding microscopic binding of macrophage migration inhibitory factor with phenolic hydrazones by molecular docking, molecular dynamics simulations and free energy calculations Molecular BioSystems ·Lei Xu,Youyong Li,Gillian E Conway,Leila Hashemi Beni,Tingjun Hou	2012	31
20	Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations Molecular BioSystems ·Mingyun Shen,Leila Hashemi Beni,Youyong Li,Peichen Pan,Liling Zhang,Tingjun Hou	2012	63

About Tingjun Hou

Tingjun Hou is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 554 papers that have together received 29.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (262 papers), Protein Structure and Dynamics (125 papers), Machine Learning in Materials Science (83 papers), Chemical Synthesis and Analysis (34 papers), Receptor Mechanisms and Signaling (32 papers), Analytical Chemistry and Chromatography (30 papers), RNA and protein synthesis mechanisms (26 papers) and Estrogen and related hormone effects (24 papers). The work is most often cited by research in Computational Theory and Mathematics (10.6k citations), Molecular Biology (16.1k citations) and Pharmacology (1.6k citations). Tingjun Hou has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Youyong Li, Junmei Wang, Huiyong Sun, Zhe Wang, Lei Xu, Dongsheng Cao, Wei Wang, Sheng Tian, Dan Li and Ercheng Wang. Their work appears in journals such as Journal of Chemical Information and Modeling, Briefings in Bioinformatics, Journal of Medicinal Chemistry, Physical Chemistry Chemical Physics and Journal of Cheminformatics.

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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