Mingjun He

602 total citations
17 papers, 451 citations indexed

About

Mingjun He is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mingjun He has authored 17 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mingjun He's work include Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (5 papers) and MicroRNA in disease regulation (4 papers). Mingjun He is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (5 papers) and MicroRNA in disease regulation (4 papers). Mingjun He collaborates with scholars based in China, United States and Australia. Mingjun He's co-authors include Shengdong Chen, Wei Niu, Li-Yi Zhang, Lingming Kong, Aifang Zhong, Wanshuai Li, Jim Lu, Xuelian Cui, Xinyang Sun and Zaohuo Cheng and has published in prestigious journals such as Psychiatry Research, Journal of Translational Medicine and Comprehensive Psychiatry.

In The Last Decade

Mingjun He

17 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingjun He China	11	365	300	33	26	21	17	451
Lei Qu China	15	335 0.9×	242 0.8×	17 0.5×	9 0.3×	47 2.2×	24	533
Lingming Kong China	11	333 0.9×	272 0.9×	36 1.1×	28 1.1×	10 0.5×	21	427
Xuelian Cui China	9	255 0.7×	233 0.8×	27 0.8×	13 0.5×	8 0.4×	13	321
Jennifer Y. Tan Switzerland	15	506 1.4×	376 1.3×	16 0.5×	39 1.5×	63 3.0×	23	649
Mandy Parkinson-Bates Australia	7	199 0.5×	69 0.2×	23 0.7×	30 1.2×	38 1.8×	8	305
Martina Steinmaurer Germany	5	250 0.7×	123 0.4×	13 0.4×	51 2.0×	17 0.8×	5	298
Amaya Urdánoz‐Casado Spain	11	229 0.6×	87 0.3×	29 0.9×	51 2.0×	19 0.9×	17	358
Michael P. Geaghan Australia	10	211 0.6×	163 0.5×	48 1.5×	101 3.9×	16 0.8×	15	378
Sabrina Hassan Canada	5	114 0.3×	134 0.4×	27 0.8×	60 2.3×	28 1.3×	7	425
Diana Andrea Fernandes de Abreu France	7	223 0.6×	74 0.2×	13 0.4×	47 1.8×	10 0.5×	9	471

Countries citing papers authored by Mingjun He

Since Specialization

Citations

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

Fields of papers citing papers by Mingjun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun He

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

Ye, Ting, Xingqiang Lü, Yi‐Ping Phoebe Chen, et al.. (2025). The influence of meaning in life on smartphone addiction among nursing undergraduates: the mediating roles of professional identity and achievement motivation. BMC Nursing. 24(1). 258–258. 4 indexed citations

Wang, Yao, Qing Zeng, Mingjun He, et al.. (2022). Effects of focus training on heart rate variability in post-stroke fatigue patients. Journal of Translational Medicine. 20(1). 59–59. 6 indexed citations

He, Mingjun, et al.. (2020). Cognitive Load Measurement and Impact Analysis on Performance in Dual-task Situations. 303–307. 3 indexed citations

Chen, Shengdong, Wei Niu, Mingjun He, et al.. (2019). Regulatory Role of lncRNA NONHSAT089447 in the Dopamine Signaling Pathway in Schizophrenic Patients. Medical Science Monitor. 25. 4322–4332. 19 indexed citations

Niu, Wei, Xiaoli Zhu, Mingjun He, et al.. (2019). Hsa_Circrna_104597 : A Novel Potential Diagnostic and Therapeutic Biomarker for Schizophrenia. Biomarkers in Medicine. 13(5). 331–340. 29 indexed citations

Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2017). Long Noncoding RNA as an Indicator Differentiating Schizophrenia From Major Depressive Disorder and Generalized Anxiety Disorder in Nonpsychiatric Hospital. Biomarkers in Medicine. 11(3). 221–228. 11 indexed citations

Lu, Jim, Li-Yi Zhang, Xuelian Cui, et al.. (2017). Long noncoding RNAs: New evidence for overlapped pathogenesis between major depressive disorder and generalized anxiety disorder. Indian Journal of Psychiatry. 59(1). 83–83. 10 indexed citations

Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2017). Long noncoding RNA expression in peripheral blood mononuclear cells and suicide risk in Chinese patients with major depressive disorder. Brain and Behavior. 7(6). e00711–e00711. 32 indexed citations

Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2017). Can lncRNAs be indicators for the diagnosis of early onset or acute schizophrenia and distinguish major depressive disorder and generalized anxiety disorder?—A cross validation analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(4). 335–341. 18 indexed citations

10.

Chen, Shengdong, Xinyang Sun, Wei Niu, et al.. (2016). A preliminary analysis of microRNA-21 expression alteration after antipsychotic treatment in patients with schizophrenia. Psychiatry Research. 244. 324–332. 29 indexed citations

11.

Chen, Shengdong, Xinyang Sun, Wei Niu, et al.. (2016). Correlation between the level of microRNA expression in peripheral blood mononuclear cells and symptomatology in patients with generalized anxiety disorder. Comprehensive Psychiatry. 69. 216–224. 21 indexed citations

12.

Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2016). Hsa_Circrna_103636: Potential Novel Diagnostic and Therapeutic Biomarker in Major Depressive Disorder. Biomarkers in Medicine. 10(9). 943–952. 116 indexed citations

13.

Cui, Xuelian, Xinyang Sun, Wei Niu, et al.. (2016). Long Non-Coding RNA: Potential Diagnostic and Therapeutic Biomarker for Major Depressive Disorder. Medical Science Monitor. 22. 5240–5248. 66 indexed citations

14.

Chen, Shengdong, Xinyang Sun, Wei Niu, et al.. (2016). Aberrant Expression of Long Non-Coding RNAs in Schizophrenia Patients. Medical Science Monitor. 22. 3340–3351. 42 indexed citations

15.

Niu, Wei, Mingjun He, Lingming Kong, et al.. (2015). [Bioinformatics analysis of differently expressed microRNAs in anxiety disorder].. PubMed. 32(5). 641–6. 5 indexed citations

16.

He, Mingjun, et al.. (2015). Effects of a High Salt Intake and Potassium Supplementation on QT Interval Dispersion in Normotensive Healthy Subjects. Internal Medicine. 54(3). 295–301. 9 indexed citations

17.

Zeng, Fanwei, Fanghong Luo, Sha Lv, et al.. (2014). A monoclonal antibody targeting neuropilin-1 inhibits adhesion of MCF7 breast cancer cells to fibronectin by suppressing the FAK/p130cas signaling pathway. Anti-Cancer Drugs. 25(6). 663–672. 31 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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