Kai Ba

487 citations
21 papers · 404 · h-index 13

Impact in

    • Mesenchymal stem cell research
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Kai Ba

20 papers receiving 393 citations

Peers

Kai Ba
Comparison fields: 5 of 62
  • Genetics 56
  • Biomaterials 65
  • Drug Discovery 1
  • Molecular Medicine 22
  • Rheumatology 44
Replace Tetsuya Yoda with:
Tetsuya Yoda Japan
Smitha Mathews India
Tomasz Jan Kolanowski Poland
Emily A. Wrona United States
Jin Sook Suh South Korea
Geng Dou China
Elisa Martella Italy
Melanie R. Major United States
Daniel Vonwil Germany
Erica G. Tierney Ireland
Kai Ba relative to Tetsuya Yoda Japan Tetsuya Yoda's profile →
Citations per field
00.5×2×3×4×4.7×
Tetsuya Yoda · 1×
Citations per year

Countries citing papers authored by Kai Ba

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Ba, 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 Kai Ba Line = papers co-authored together Kai Ba 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 201451
2 201347
3 201239
4 202037
5 201228
6 201428
7 201726
8 202026
9 201325
10 201323
11 201914
12 201513
13 202013
14 201312
15 201911
16 20204
17
[Morphology of the soft palate in normal individuals when pronouncing: a digital cephalometric study].
20112
18
[Relationships between dental calcification stages and cervical vertebral bone ages among children and adolescents in Chengdu].
20122
19 20242
20 20241

About Kai Ba

Kai Ba is a scholar working on Genetics, Rheumatology, Biomaterials, Otorhinolaryngology and Oral Surgery, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Nanoparticle-Based Drug Delivery (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Curcumin's Biomedical Applications (2 papers), Head and Neck Cancer Studies (2 papers), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Genetics (56 citations), Biomaterials (65 citations), Drug Discovery (1 citation), Molecular Medicine (22 citations) and Rheumatology (44 citations). Kai Ba has collaborated with scholars based in China and United States. Frequent co-authors include Yunfeng Lin, Yao Fu, Xiaoxiao Cai, Na Fu, Ling Wu, Xiaoyuan Wei, Xinbo Wang, Juanfang Zhu, Denis A. Evseenko and Frank A. Petrigliano. Their work appears in journals such as Cell Proliferation, ACS Omega, Frontiers in Oncology, JCI Insight and Scientific Reports.

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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