Dao-Fang Ding

579 citations
43 papers · 452 · h-index 15

Impact in

Papers in

Dao-Fang Ding

40 papers receiving 445 citations

Peers

Dao-Fang Ding
Comparison fields: 5 of 71
  • Rheumatology 122
  • Pharmacology 54
  • Urology 18
  • Pathology and Forensic Medicine 52
  • Genetics 31
Replace Zucheng Luo with:
Zucheng Luo China
Hu Guo China
Jiyuan Yan China
Letícia Scussel Bergamin Brazil
Safwat Adel Abdo Moqbel China
Zengxin Jiang China
Yaping Ma China
Jianghua Ming China
Songfeng Hu China
Guanqiao Liu China
Dao-Fang Ding relative to Zucheng Luo China Zucheng Luo's profile →
Citations per field
00.5×1.5×
Zucheng Luo · 1×
Citations per year

Countries citing papers authored by Dao-Fang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dao-Fang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 202035
3 202233
4 201632
5 201032
6 201631
7 200425
8 201121
9 201120
10 201319
11 201418
12 201418
13 201517
14
The MEK-ERK1/2 signaling pathway regulates hyaline cartilage formation and the redifferentiation of dedifferentiated chondrocytes in vitro.
201817
15 202215
16 202212
17
Changes of mesenchymal stromal cells mobilization and bone turnover in an experimental bone fracture model in ovariectomized mice.
20158
18 20215
19 20224
20 20194

About Dao-Fang Ding

Dao-Fang Ding is a scholar working on Rheumatology, Molecular Biology, Pharmacology, Surgery and Pathology and Forensic Medicine, having authored 43 papers that have together received 452 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Bone Metabolism and Diseases (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Inflammatory mediators and NSAID effects (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Knee injuries and reconstruction techniques (2 papers). The work is most often cited by research in Rheumatology (122 citations), Pharmacology (54 citations), Urology (18 citations), Pathology and Forensic Medicine (52 citations) and Genetics (31 citations). Dao-Fang Ding has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yuelong Cao, Guoqing Du, Hongsheng Zhan, Jian‐Guang Xu, Linghui Li, Qi Shi, G.E. Wise, Shaomian Yao, Hao Xu and Xi‐Chen Wu. Their work appears in journals such as Cellular Physiology and Biochemistry, Gene, Acta Biomaterialia, Journal of Inflammation Research and Evidence-based Complementary and Alternative Medicine.

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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