Jingxia Du

672 citations
21 papers · 548 · h-index 15

Impact in

Papers in

Jingxia Du

21 papers receiving 541 citations

Peers

Jingxia Du
Comparison fields: 5 of 79
  • Ophthalmology 68
  • Clinical Biochemistry 31
  • Geriatrics and Gerontology 15
  • Neurology 34
  • Biochemistry 22
Replace Chunyan Li with:
Chunyan Li China
Patricia Fernández‐Robredo Spain
Anna‐Kaisa Ruotsalainen Finland
Akif Çiftçioğlu Türkiye
Pratiksha A. Dighe United States
Yusheng Ren China
Victoria Alexandrovna Khotina Russia
Xianhui Li China
Zhongming Zhang China
Marcelo Jun Sakiyama United States
Jingxia Du relative to Chunyan Li China Chunyan Li's profile →
Citations per field
00.5×2×4×6.2×
Chunyan Li · 1×
Citations per year

Countries citing papers authored by Jingxia Du

Since Specialization
Citations

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

Fields of papers citing papers by Jingxia Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 201950
3 202248
4 202146
5 202046
6 202034
7 202034
8 201930
9 202025
10 202023
11 201721
12 201420
13 202020
14 202420
15 202419
16 201612
17 201911
18 201810
19 20199
20 20228

About Jingxia Du

Jingxia Du is a scholar working on Ophthalmology, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 21 papers that have together received 548 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Retinal Diseases and Treatments (3 papers), CRISPR and Genetic Engineering (2 papers), Cardiovascular Function and Risk Factors (2 papers), Algal biology and biofuel production (2 papers), Aquaculture disease management and microbiota (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Ophthalmology (68 citations), Clinical Biochemistry (31 citations), Geriatrics and Gerontology (15 citations), Neurology (34 citations) and Biochemistry (22 citations). Jingxia Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gaofeng Liang, Shuying Feng, Manhui Zhu, Evelyn J. Song, Aifang Li, Lina Hu, Xiaodong Sun, Xun Xu, Man‐Wen Jin and Jia Zhao. Their work appears in journals such as Experimental Eye Research, Current Issues in Molecular Biology, Fish & Shellfish Immunology, Current Molecular Medicine 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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