Yaoting Ji

1.7k citations
46 papers · 725 · h-index 16

Impact in

Papers in

    • Bone Metabolism and Diseases 12
    • Genomics, phytochemicals, and oxidative stress 4
    • Oral microbiology and periodontitis research 13

Yaoting Ji

40 papers receiving 716 citations

Peers

Yaoting Ji
Comparison fields: 5 of 101
  • Periodontics 132
  • Endocrine and Autonomic Systems 39
  • Molecular Biology 365
  • Cancer Research 62
  • Oral Surgery 27
Replace Eun‐Cheol Kim with:
Eun‐Cheol Kim South Korea
Matthias Laudes Germany
Lizheng Qin China
Nicolás Tobar Chile
Makoto Hagiwara Japan
Hongran Choi South Korea
Lu‐Jun Zhou China
T Kaneda Japan
Vanessa Nicolin Italy
Zhen Gu China
Yaoting Ji relative to Eun‐Cheol Kim South Korea Eun‐Cheol Kim's profile →
Citations per field
00.5×7.2×
Eun‐Cheol Kim · 1×
Citations per year

Countries citing papers authored by Yaoting Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yaoting Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202280
2 202166
3 201465
4 202053
5 202037
6
Intermittent activation of notch signaling promotes bone formation.
201735
7 202133
8 202132
9 201828
10 202223
11 202123
12 202221
13 202119
14 202018
15 201017
16 201816
17 202313
18
C4orf7 modulates osteogenesis and adipogenesis of human periodontal ligament cells.
201713
19 202112
20 202211

About Yaoting Ji

Yaoting Ji is a scholar working on Molecular Biology, Periodontics, Physiology, Immunology and Oncology, having authored 46 papers that have together received 725 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (13 papers), Bone Metabolism and Diseases (12 papers), Salivary Gland Disorders and Functions (6 papers), Bone health and treatments (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Mesenchymal stem cell research (3 papers), Immune Response and Inflammation (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Periodontics (132 citations), Endocrine and Autonomic Systems (39 citations), Molecular Biology (365 citations), Cancer Research (62 citations) and Oral Surgery (27 citations). Yaoting Ji has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Minquan Du, Hantao Yao, Haiying Guo, Zijun Wang, Song Gao, Danfeng Liu, Yufeng Zhang, Jinglun Zhang, Zhuan Bian and Xiazhou Fu. Their work appears in journals such as Oral Diseases, Molecules, Free Radical Biology and Medicine, Frontiers in Cellular and Infection Microbiology and Advanced 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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