Xinjun Hou

4.9k total citations · 2 hit papers
42 papers, 3.0k citations indexed

About

Xinjun Hou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Xinjun Hou has authored 42 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Oncology. Recurrent topics in Xinjun Hou's work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (9 papers) and Phosphodiesterase function and regulation (6 papers). Xinjun Hou is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (9 papers) and Phosphodiesterase function and regulation (6 papers). Xinjun Hou collaborates with scholars based in United States, China and United Kingdom. Xinjun Hou's co-authors include Patrick R. Verhoest, Travis T. Wager, Anabella Villalobos, Robert Gilmore, Hernán G. Solari, Gabriel B. Mindlin, Yvonne Will, Matthew D. Troutman, Ramalakshmi Y. Chandrasekaran and Christopher J. Helal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Xinjun Hou

40 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

Moving beyond Rules: The Development of a Central Nervous System Multiparameter Optimization (CNS MPO) Approach To Enable Alignment of Druglike Properties

2010 687 citations Travis T. Wager, Xinjun Hou et al. ACS Chemical Neuroscience profile →
Central Nervous System Multiparameter Optimization Desirability: Application in Drug Discovery

2016 391 citations Travis T. Wager, Xinjun Hou et al. ACS Chemical Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinjun Hou United States	25	1.7k	692	592	526	415	42	3.0k
Zhenming Liu China	32	2.1k 1.2×	884 1.3×	644 1.1×	402 0.8×	380 0.9×	198	4.3k
Marco De Vivo Italy	35	2.7k 1.6×	672 1.0×	634 1.1×	389 0.7×	395 1.0×	116	4.2k
Vittorio Limongelli Italy	36	2.6k 1.6×	633 0.9×	441 0.7×	165 0.3×	579 1.4×	84	3.8k
Giovanni Bottegoni Italy	31	2.0k 1.2×	1.4k 2.1×	665 1.1×	862 1.6×	276 0.7×	68	3.5k
Ying Li China	35	5.2k 3.1×	449 0.6×	249 0.4×	230 0.4×	378 0.9×	192	7.0k
Ute Abraham Germany	16	1.1k 0.7×	1.1k 1.6×	670 1.1×	193 0.4×	207 0.5×	21	3.4k
Wenzhe Ma China	30	2.4k 1.5×	184 0.3×	157 0.3×	299 0.6×	386 0.9×	111	3.7k
Flemming Steen Jørgensen Denmark	36	1.7k 1.0×	697 1.0×	367 0.6×	141 0.3×	322 0.8×	140	3.3k
Felice C. Lightstone United States	32	2.2k 1.3×	661 1.0×	733 1.2×	226 0.4×	210 0.5×	105	3.9k
Nikolay Tzvetkov Bulgaria	37	1.5k 0.9×	184 0.3×	259 0.4×	322 0.6×	101 0.2×	164	4.8k

Countries citing papers authored by Xinjun Hou

Since Specialization

Citations

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

Fields of papers citing papers by Xinjun Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjun Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xinjun Hou. A scholar is included among the top collaborators of Xinjun Hou 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 Xinjun Hou. Xinjun Hou 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

King‐Smith, Emma, Felix A. Faber, Louise Bernier, et al.. (2025). Predictive design of crystallographic chiral separation. Nature Communications. 16(1). 7977–7977.

Hou, Xinjun, et al.. (2024). N-Ethyl-N-Nitrosourea Induced Leukaemia in a Mouse Model: Protective Effect of Icaritin via Inhibition of IL-6/JAK2/STAT3 Pathway Causes Apoptosis. Journal of Inflammation Research. Volume 17. 777–790. 2 indexed citations

King‐Smith, Emma, Simon Berritt, Louise Bernier, et al.. (2024). Probing the chemical ‘reactome’ with high-throughput experimentation data. Nature Chemistry. 16(4). 633–643. 26 indexed citations

Lee, Alpha A., Qingyi Yang, Christopher R. Butler, et al.. (2019). Ligand biological activity predicted by cleaning positive and negative chemical correlations. Proceedings of the National Academy of Sciences. 116(9). 3373–3378. 22 indexed citations

Feng, Bo, Mark A. West, Nandini C. Patel, et al.. (2019). Validation of Human MDR1-MDCK and BCRP-MDCK Cell Lines to Improve the Prediction of Brain Penetration. Journal of Pharmaceutical Sciences. 108(7). 2476–2483. 55 indexed citations

Yang, Qingyi, et al.. (2019). Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability. Journal of Computational Chemistry. 41(3). 247–257. 22 indexed citations

Han, Shuaibo, et al.. (2018). Description of Wenzhouxiangella salilacus sp. nov., a moderate halophilic bacterium isolated from a salt lake in Xinjiang Province, China. Antonie van Leeuwenhoek. 112(6). 847–855. 7 indexed citations

Zhang, Ran, Xinjun Hou, Shuaibo Han, et al.. (2018). Kordiimonas pumila sp. nov., isolated from coastal sediment. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 68(5). 1743–1748. 6 indexed citations

Zuhl, Andrea M., Charles E. Nolan, Michael A. Brodney, et al.. (2016). Chemoproteomic profiling reveals that cathepsin D off-target activity drives ocular toxicity of β-secretase inhibitors. Nature Communications. 7(1). 13042–13042. 59 indexed citations

10.

Wager, Travis T., Xinjun Hou, Patrick R. Verhoest, & Anabella Villalobos. (2016). Central Nervous System Multiparameter Optimization Desirability: Application in Drug Discovery. ACS Chemical Neuroscience. 7(6). 767–775. 391 indexed citations breakdown →

11.

Zhang, Lei, Anabella Villalobos, Elizabeth M. Beck, et al.. (2013). Design and Selection Parameters to Accelerate the Discovery of Novel Central Nervous System Positron Emission Tomography (PET) Ligands and Their Application in the Development of a Novel Phosphodiesterase 2A PET Ligand. Journal of Medicinal Chemistry. 56(11). 4568–4579. 142 indexed citations

12.

Patel, Nandini C., Jacob B. Schwarz, Xinjun Hou, et al.. (2013). Discovery and Characterization of a Novel Dihydroisoxazole Class of α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) Receptor Potentiators. Journal of Medicinal Chemistry. 56(22). 9180–9191. 18 indexed citations

13.

Wager, Travis T., Anabella Villalobos, Patrick R. Verhoest, Xinjun Hou, & Christopher L. Shaffer. (2011). Strategies to optimize the brain availability of central nervous system drug candidates. Expert Opinion on Drug Discovery. 6(4). 371–381. 32 indexed citations

14.

Dong, Liming, Joseph Marakovits, Xinjun Hou, et al.. (2010). Structure-based design of novel human Pin1 inhibitors (II). Bioorganic & Medicinal Chemistry Letters. 20(7). 2210–2214. 70 indexed citations

15.

Wager, Travis T., Xinjun Hou, Patrick R. Verhoest, & Anabella Villalobos. (2010). Moving beyond Rules: The Development of a Central Nervous System Multiparameter Optimization (CNS MPO) Approach To Enable Alignment of Druglike Properties. ACS Chemical Neuroscience. 1(6). 435–449. 687 indexed citations breakdown →

16.

Verhoest, Patrick R., Douglas S. Chapin, Michael L. Corman, et al.. (2009). Discovery of a Novel Class of Phosphodiesterase 10A Inhibitors and Identification of Clinical Candidate 2-[4-(1-Methyl-4-pyridin-4-yl-1 H -pyrazol-3-yl)-phenoxymethyl]-quinoline (PF-2545920) for the Treatment of Schizophrenia†Coordinates of the PDE10A crystal structures have been deposited in the Protein Data Bank for compound 1 (3HQW), 2 (3HQY), 3 (3HQW) and 9 (3HR1).. Journal of Medicinal Chemistry. 52(16). 5188–5196. 172 indexed citations

17.

Guo, Chuangxing, Xinjun Hou, Liming Dong, et al.. (2009). Structure-based design of novel human Pin1 inhibitors (I). Bioorganic & Medicinal Chemistry Letters. 19(19). 5613–5616. 91 indexed citations

18.

Lowe, John, Xinjun Hou, Christopher Schmidt, et al.. (2009). The discovery of a structurally novel class of inhibitors of the type 1 glycine transporter. Bioorganic & Medicinal Chemistry Letters. 19(11). 2974–2976. 25 indexed citations

19.

Sakya, Subas M., Xinjun Hou, Martha L. Minich, et al.. (2006). 5-Heteroatom substituted pyrazoles as canine COX-2 inhibitors. Part III: Molecular modeling studies on binding contribution of 1-(5-methylsulfonyl)pyrid-2-yl and 4-nitrile. Bioorganic & Medicinal Chemistry Letters. 17(4). 1067–1072. 28 indexed citations

20.

Dragovich, Peter S., Thomas J. Prins, Ru Zhou, et al.. (2002). Structure-Based Design, Synthesis, and Biological Evaluation of Irreversible Human Rhinovirus 3C Protease Inhibitors. Part 7: Structure–Activity Studies of Bicyclic 2-Pyridone-Containing Peptidomimetics. Bioorganic & Medicinal Chemistry Letters. 12(5). 733–738. 63 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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