Mingxia Jing

14 papers receiving 302 citations

Peers

Mingxia Jing
Comparison fields: 5 of 84
  • Environmental Chemistry 113
  • Health, Toxicology and Mutagenesis 100
  • Family Practice 14
  • Neuropsychology and Physiological Psychology 6
  • Geriatrics and Gerontology 13
Replace Martín Chaparro with:
Martín Chaparro Argentina
Robin A. Streeter United States
Monika A. Izano United States
Erin M. Kennedy United States
Katharine Berry United States
Rabiul Hasan United States
S. M. Shahidullah United States
Rita Yusuf Bangladesh
Charlotte Jeppesen Denmark
Laura Liao United States
Mingxia Jing relative to Martín Chaparro Argentina Martín Chaparro's profile →
Citations per field
00.5×2.7×
Martín Chaparro · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mingxia Jing, 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 Mingxia Jing Line = papers co-authored together Mingxia Jing links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201697
2 201660
3 201940
4 201723
5 201723
6 201821
7 201816
8 202011
9 20224
10 20154
11 20193
12 20242
13 20242
14 20241
15 20250

About Mingxia Jing

Mingxia Jing is a scholar working on Modeling and Simulation, Infectious Diseases, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Epidemiology, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Heavy Metal Exposure and Toxicity (3 papers), Blood Pressure and Hypertension Studies (3 papers), Arsenic contamination and mitigation (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Cervical Cancer and HPV Research (2 papers), Health disparities and outcomes (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Environmental Chemistry (113 citations), Health, Toxicology and Mutagenesis (100 citations), Family Practice (14 citations), Neuropsychology and Physiological Psychology (6 citations) and Geriatrics and Gerontology (13 citations). Mingxia Jing has collaborated with scholars based in China. Frequent co-authors include Shugang Li, Shangzhi Xu, Qiang Niu, Xiaochen Ma, Yinzi Jin, Mengchuan Xu, Dongsheng Rui, Hui Shen, Yusong Ding and Yizhong Yan. Their work appears in journals such as Patient Preference and Adherence, International Journal of Environmental Research and Public Health, Journal of Medical Internet Research, Infectious Diseases and Therapy and BioMed Research International.

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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