Mingxia Jing

447 total citations
15 papers, 307 citations indexed

About

Mingxia Jing is a scholar working on Modeling and Simulation, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mingxia Jing has authored 15 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mingxia Jing's work include COVID-19 epidemiological studies (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Arsenic contamination and mitigation (3 papers). Mingxia Jing is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Arsenic contamination and mitigation (3 papers). Mingxia Jing collaborates with scholars based in China. Mingxia Jing's co-authors include Shugang Li, Shangzhi Xu, Qiang Niu, Yinzi Jin, Xiaochen Ma, Dongsheng Rui, Mengchuan Xu, Yusong Ding, Hui Shen and Yizhong Yan and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and BioMed Research International.

In The Last Decade

Mingxia Jing

14 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxia Jing China 8 113 100 58 43 33 15 307
Monika A. Izano United States 13 83 0.7× 162 1.6× 45 0.8× 34 0.8× 4 0.1× 39 670
Robin A. Streeter United States 7 182 1.6× 198 2.0× 57 1.0× 18 0.4× 3 0.1× 8 432
Rabiul Hasan United States 10 169 1.5× 182 1.8× 38 0.7× 11 0.3× 3 0.1× 17 379
Carlos Orantes United States 12 10 0.1× 271 2.7× 29 0.5× 29 0.7× 23 0.7× 20 727
Elisa Lee United States 8 113 1.0× 109 1.1× 49 0.8× 24 0.6× 1 0.0× 14 318
César Hernández-Alcaraz Mexico 11 45 0.4× 68 0.7× 30 0.5× 32 0.7× 23 273
Martín Chaparro Argentina 7 82 0.7× 60 0.6× 22 0.4× 35 0.8× 12 285
Charlotte Jeppesen Denmark 14 14 0.1× 85 0.8× 54 0.9× 70 1.6× 2 0.1× 20 531
Rie Okamoto Japan 14 22 0.2× 239 2.4× 33 0.6× 19 0.4× 7 0.2× 46 458
Husna Yetti Indonesia 11 21 0.2× 57 0.6× 40 0.7× 90 2.1× 11 0.3× 73 404

Countries citing papers authored by Mingxia Jing

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxia Jing

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

All Works

15 of 15 papers shown
2.
Wang, Yuyuan, et al.. (2024). Optimal resource allocation model for COVID-19: a systematic review and meta-analysis. BMC Infectious Diseases. 24(1). 200–200. 1 indexed citations
3.
Zhang, Weiwen, et al.. (2024). Risk assessment of infection of COVID‐19 contacts based on scenario simulation. Risk Analysis. 45(2). 322–341. 2 indexed citations
4.
Wang, Yuyuan, et al.. (2024). Evaluating the Demand for Nucleic Acid Testing in Different Scenarios of COVID-19 Transmission: A Simulation Study. Infectious Diseases and Therapy. 13(4). 813–826. 2 indexed citations
5.
Jing, Mingxia, et al.. (2022). Effect of Nucleic Acid Screening Measures on COVID-19 Transmission in Cities of Different Scales and Assessment of Related Testing Resource Demands—Evidence from China. International Journal of Environmental Research and Public Health. 19(20). 13343–13343. 4 indexed citations
6.
Yan, Xiaolong, et al.. (2020). Prevalence of human papillomavirus infection and type distribution among Uyghur females in Xinjiang, northwest China. Oncology Letters. 20(4). 25–25. 11 indexed citations
7.
Ma, Xiaochen, et al.. (2019). <p>Decomposing the effect of drug benefit program on antihypertensive medication adherence among the elderly in urban China</p>. Patient Preference and Adherence. Volume 13. 1111–1123. 3 indexed citations
8.
Jin, Yinzi, Mingxia Jing, & Xiaochen Ma. (2019). Effects of Digital Device Ownership on Cognitive Decline in a Middle-Aged and Elderly Population: Longitudinal Observational Study. Journal of Medical Internet Research. 21(7). e14210–e14210. 40 indexed citations
9.
Jin, Yinzi, et al.. (2018). Internet Access and Hypertension Management Among the Elderly Population: A Nationally Representative Cross-Sectional Survey in China. Journal of Medical Internet Research. 21(1). e11280–e11280. 21 indexed citations
10.
Zhang, Yuji, et al.. (2018). Factors affecting medication adherence in community-managed patients with hypertension based on the principal component analysis: evidence from Xinjiang, China. Patient Preference and Adherence. Volume 12. 803–812. 16 indexed citations
11.
Liu, Mingzhu, Xiaolong Yan, Mei Zhang, et al.. (2017). Influence of Human Papillomavirus Infection on the Natural History of Cervical Intraepithelial Neoplasia 1: A Meta-Analysis. BioMed Research International. 2017. 1–9. 23 indexed citations
12.
Liu, Yuanyuan, Yu-Qian Zhang, Qiang Niu, et al.. (2017). Comparison of effectiveness and adverse effects of gefitinib, erlotinib and icotinib among patients with non‑small cell lung cancer: A network meta‑analysis. Experimental and Therapeutic Medicine. 14(5). 4017–4032. 23 indexed citations
13.
Xu, Mengchuan, Dongsheng Rui, Yizhong Yan, et al.. (2016). Oxidative Damage Induced by Arsenic in Mice or Rats: A Systematic Review and Meta-Analysis. Biological Trace Element Research. 176(1). 154–175. 60 indexed citations
14.
Shen, Hui, Qiang Niu, Mengchuan Xu, et al.. (2016). Factors Affecting Arsenic Methylation in Arsenic-Exposed Humans: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 13(2). 205–205. 97 indexed citations
15.
Li, Shugang, Qiang Niu, Rulin Ma, et al.. (2015). The Relationship between Liver Dysfunction and Arsenic Methylation in Mice. Polish Journal of Environmental Studies. 24. 1667–1676. 4 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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