Yining Ding

632 citations
36 papers · 486 · h-index 12

Impact in

Papers in

    • Genetic Associations and Epidemiology 10
    • Electrospun Nanofibers in Biomedical Applications 4

Yining Ding

35 papers receiving 475 citations

Peers

Yining Ding
Comparison fields: 5 of 77
  • Rehabilitation 25
  • Biomaterials 44
  • Genetics 58
  • Biomedical Engineering 61
  • Endocrinology, Diabetes and Metabolism 26
Replace Çiğdem Aydın with:
Çiğdem Aydın Türkiye
Lu Liang China
Anton S. Tkachenko Ukraine
Luting Yu China
Priscila Maria de Andrade Brazil
Mohaddeseh Behjati Iran
Liling Liu China
Fabiana Pirani Carneiro Brazil
Sharon E. Chase United States
Elnaz Faghfuri Iran
Yining Ding relative to Çiğdem Aydın Türkiye Çiğdem Aydın's profile →
Citations per field
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Çiğdem Aydın · 1×
Citations per year

Countries citing papers authored by Yining Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yining Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yining Ding, 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 Yining Ding Line = papers co-authored together Yining Ding 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 202277
2 202446
3 202132
4 202331
5 202429
6 202128
7 202426
8 202323
9 202423
10 202419
11 202519
12 202315
13 202212
14 202511
15 202410
16 19889
17 20229
18 20108
19 20248
20 20217

About Yining Ding

Yining Ding is a scholar working on Genetics, Biomaterials, Cardiology and Cardiovascular Medicine, Rehabilitation and Ophthalmology, having authored 36 papers that have together received 486 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Plant Diversity and Evolution (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Plant Molecular Biology Research (2 papers), Plant-derived Lignans Synthesis and Bioactivity (2 papers), Wound Healing and Treatments (2 papers) and Cardiac Health and Mental Health (2 papers). The work is most often cited by research in Rehabilitation (25 citations), Biomaterials (44 citations), Genetics (58 citations), Biomedical Engineering (61 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Yining Ding has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Meihua Bao, Shuling Xu, Rumeng Chen, Sen Li, Bin-sheng He, Yun‐Ze Long, Seeram Ramakrishna, Chang Liu, Yan Jiang and Jun Zhang. Their work appears in journals such as Frontiers in Endocrinology, Medicine, International Journal of Biological Macromolecules, Advanced Fiber Materials and Frontiers in Nutrition.

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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