Pingping Jia

676 citations
36 papers · 453 · h-index 11

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Nutrition and Health in Aging
    • Diet and metabolism studies

Papers in

    • Nutrition and Health in Aging 8
    • Inflammatory Biomarkers in Disease Prognosis 4

Pingping Jia

32 papers receiving 435 citations

Peers

Pingping Jia
Comparison fields: 5 of 72
  • Health Informatics 15
  • Physiology 108
  • Health, Toxicology and Mutagenesis 57
  • Cancer Research 31
  • Oncology 48
Replace Shashwat Deepali Nagar with:
Shashwat Deepali Nagar United States
Treena McDonald Canada
Fatima Qafoud Qatar
Karine Sargsyan Austria
Maria Sergeevna Pokrovskaya Russia
Haya Al‐Sulaiti Qatar
Priya Tripathi United States
Sungji Moon South Korea
Shuyuan Chu China
Kyu Earn Kim South Korea
Pingping Jia relative to Shashwat Deepali Nagar United States Shashwat Deepali Nagar's profile →
Citations per field
00.5×2×3×4×4.8×
Shashwat Deepali Nagar · 1×
Citations per year

Countries citing papers authored by Pingping Jia

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 202155
3 202349
4 202143
5 201026
6 202219
7 202216
8 202514
9 200912
10 201112
11 201011
12 202010
13 202210
14 20219
15 20249
16 20218
17 20238
18 20248
19 20226
20 20246

About Pingping Jia

Pingping Jia is a scholar working on Physiology, Oncology, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 453 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (8 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Redox biology and oxidative stress (4 papers), Developmental Biology and Gene Regulation (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Tuberculosis Research and Epidemiology (2 papers), Health Promotion and Cardiovascular Prevention (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Health Informatics (15 citations), Physiology (108 citations), Health, Toxicology and Mutagenesis (57 citations), Cancer Research (31 citations) and Oncology (48 citations). Pingping Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hanping Shi, Minghua Cong, Yun Liang Gao, Jie Zhang, Mingyong Miao, Xupei Huang, Xiaodong Wang, Wan-jun Yang, Qirong Qin and Fen Huang. Their work appears in journals such as Frontiers in Nutrition, Journal of Cachexia Sarcopenia and Muscle, Clinical Nutrition, Journal of Cellular Biochemistry and Journal of Biomedical Science.

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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