Haijun Han

766 total citations
33 papers, 578 citations indexed

About

Haijun Han is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Haijun Han has authored 33 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Genetics. Recurrent topics in Haijun Han's work include Nicotinic Acetylcholine Receptors Study (8 papers), Smoking Behavior and Cessation (6 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Haijun Han is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (8 papers), Smoking Behavior and Cessation (6 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Haijun Han collaborates with scholars based in China, United States and Japan. Haijun Han's co-authors include Ming D. Li, Zhongli Yang, Guangying Luo, Jundong Wang, Bing‐Rui Zhou, Chong Wang, Zilong Sun, Jingjing Li, Zhiwei Bao and Jundong Wang and has published in prestigious journals such as Scientific Reports, Chemosphere and Molecular Psychiatry.

In The Last Decade

Haijun Han

30 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Han China 14 235 108 93 79 76 33 578
José Salas-Pacheco Mexico 18 275 1.2× 82 0.8× 72 0.8× 46 0.6× 23 0.3× 79 1.0k
Russell L. Blaylock United States 14 86 0.4× 49 0.5× 32 0.3× 32 0.4× 58 0.8× 34 690
Lauren L. Jones United States 4 198 0.8× 57 0.5× 107 1.2× 37 0.5× 4 0.1× 5 488
Stepan Melnyk United States 11 226 1.0× 71 0.7× 35 0.4× 31 0.4× 8 0.1× 19 760
Mohammad Ali Arif Pakistan 13 159 0.7× 109 1.0× 94 1.0× 15 0.2× 4 0.1× 40 522
Pilar Fernández‐Mateos Spain 16 189 0.8× 41 0.4× 301 3.2× 35 0.4× 2 0.0× 30 801
Shiru Li China 8 51 0.2× 20 0.2× 87 0.9× 10 0.1× 8 0.1× 19 383
Anthony Bach United States 14 138 0.6× 87 0.8× 39 0.4× 34 0.4× 1 0.0× 20 549
Diogo Dominguini Brazil 18 248 1.1× 13 0.1× 90 1.0× 158 2.0× 2 0.0× 46 924

Countries citing papers authored by Haijun Han

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Han

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

All Works

20 of 20 papers shown
1.
Wang, Yan, Zhongli Yang, Haijun Han, et al.. (2025). Investigating the effect of Arvcf reveals an essential role on regulating the mesolimbic dopamine signaling-mediated nicotine reward. Communications Biology. 8(1). 429–429.
2.
3.
Han, Haijun, Jinlong Wu, Hongguang Pan, et al.. (2025). Implications of neurogenesis in depression through BDNF: rodent models, regulatory pathways, gut microbiota, and potential therapy. Molecular Psychiatry. 30(9). 4409–4421. 9 indexed citations
4.
Han, Haijun, Guoliang Chen, Bin Zhang, et al.. (2024). Probiotic Lactobacillus plantarum GUANKE effectively alleviates allergic rhinitis symptoms by modulating functions of various cytokines and chemokines. Frontiers in Nutrition. 10. 1291100–1291100. 9 indexed citations
5.
Li, Ming D., Yan Wang, Zhouhai Zhu, et al.. (2024). Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population. Molecular Psychiatry. 29(11). 3516–3526. 4 indexed citations
6.
Han, Haijun, Jie Liu, Shengyu Zhu, & Tiejun Zhao. (2024). Identification of two key biomarkers CD93 and FGL2 associated with survival of acute myeloid leukaemia by weighted gene co‐expression network analysis. Journal of Cellular and Molecular Medicine. 28(14). e18552–e18552. 2 indexed citations
7.
Zhang, Bin, Haijun Han, Xinyi Zhao, et al.. (2023). An HBV susceptibility variant of KNG1 modulates the therapeutic effects of interferons α and λ1 in HBV infection by promoting MAVS lysosomal degradation. EBioMedicine. 94. 104694–104694. 2 indexed citations
8.
Yang, Zhongli, Jiali Chen, Haijun Han, et al.. (2023). Single nucleotide polymorphisms rs148582811 regulates its host gene ARVCF expression to affect nicotine-associated hippocampus-dependent memory. iScience. 26(12). 108335–108335. 4 indexed citations
9.
Chen, Jingjing, Lingling Guo, Xiaokang Zhou, et al.. (2022). Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review. Neural Computing and Applications. 36(1). 181–199. 14 indexed citations
10.
Han, Haijun, Wen Li, Jiali Chen, et al.. (2022). Identification of a Novel Functional Non-synonymous Single Nucleotide Polymorphism in Frizzled Class Receptor 6 Gene for Involvement in Depressive Symptoms. Frontiers in Molecular Neuroscience. 15. 882396–882396. 2 indexed citations
11.
Zhao, Xinyi, Shu Zhao, Zhongli Yang, et al.. (2021). Landscape analysis of lncRNAs shows that DDX11-AS1 promotes cell-cycle progression in liver cancer through the PARP1/p53 axis. Cancer Letters. 520. 282–294. 18 indexed citations
12.
Zhang, Bin, Haijun Han, Kunkai Su, et al.. (2019). Identification and characterization of SEC24D as a susceptibility gene for hepatitis B virus infection. Scientific Reports. 9(1). 13425–13425. 3 indexed citations
13.
Chang, Sulie L., Wenfei Huang, Haijun Han, & Ilker K. Sariyer. (2019). Binge-Like Exposure to Ethanol Enhances Morphine's Anti-nociception in B6 Mice. Frontiers in Psychiatry. 9. 756–756. 13 indexed citations
14.
Han, Haijun, Qiang Liu, Zhongli Yang, et al.. (2018). Association and cis-mQTL analysis of variants in serotonergic genes associated with nicotine dependence in Chinese Han smokers. Translational Psychiatry. 8(1). 243–243. 13 indexed citations
15.
Liu, Qiang, Haijun Han, Yinghao Yao, et al.. (2018). Association and cis-mQTL analysis of variants in CHRNA3-A5, CHRNA7, CHRNB2, and CHRNB4 in relation to nicotine dependence in a Chinese Han population. Translational Psychiatry. 8(1). 83–83. 17 indexed citations
16.
Ma, Yunlong, Wen Li, Wenyan Cui, et al.. (2017). Prevalence of Cigarette Smoking and Nicotine Dependence in Men and Women Residing in Two Provinces in China. Frontiers in Psychiatry. 8. 254–254. 32 indexed citations
17.
Yang, Min, et al.. (2016). Population data of 17 short tandem repeat loci in 2923 individuals from the Han population of Nantong in East China. International Journal of Legal Medicine. 130(5). 1195–1197. 5 indexed citations
18.
Niu, Ruiyan, Haijun Han, Yuliang Zhang, et al.. (2015). Changes in Liver Antioxidant Status of Offspring Mice Induced by Maternal Fluoride Exposure During Gestation and Lactation. Biological Trace Element Research. 172(1). 172–178. 11 indexed citations
19.
20.
Han, Haijun, Wenjuan Du, Bing‐Rui Zhou, et al.. (2014). Effects of Chronic Fluoride Exposure on Object Recognition Memory and mRNA Expression of SNARE Complex in Hippocampus of Male Mice. Biological Trace Element Research. 158(1). 58–64. 19 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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