Sa Cai

976 citations
30 papers · 698 · h-index 12

Impact in

Papers in

    • Pluripotent Stem Cells Research 12
    • CRISPR and Genetic Engineering 3
    • Planarian Biology and Electrostimulation 3
    • Mesenchymal stem cell research 8

Sa Cai

29 papers receiving 693 citations

Peers

Sa Cai
Comparison fields: 5 of 88
  • Genetics 208
  • Developmental Neuroscience 67
  • Rehabilitation 99
  • Cellular and Molecular Neuroscience 241
  • Biomaterials 92
Replace П. И. Макаревич with:
П. И. Макаревич Russia
Fernanda Martins de Almeida Brazil
Ignacio García‐Gómez United States
Irena Vacková Czechia
Bárbara Mendes-Pinheiro Portugal
Michiyo Esaki Japan
Vadims Parfejevs Latvia
Andrea Sinanan United Kingdom
Silvina Ribeiro‐Samy Portugal
Zuzana Kočí Czechia
Sa Cai relative to П. И. Макаревич Russia П. И. Макаревич's profile →
Citations per field
00.5×1.5×1.9×
П. И. Макаревич · 1×
Citations per year

Countries citing papers authored by Sa Cai

Since Specialization
Citations

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

Fields of papers citing papers by Sa Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 200987
3 200976
4 200767
5 201763
6 201630
7 201228
8 201125
9 200925
10
Transplantation of human bone marrow-derived mesenchymal stem cells transfected with ectodysplasin for regeneration of sweat glands.
201123
11 202212
12 202012
13 202510
14 202210
15 202510
16 20259
17 20148
18 20247
19 20187
20 20196

About Sa Cai

Sa Cai is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Rehabilitation, having authored 30 papers that have together received 698 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Nerve injury and regeneration (8 papers), Mesenchymal stem cell research (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Wound Healing and Treatments (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), CRISPR and Genetic Engineering (3 papers) and Planarian Biology and Electrostimulation (3 papers). The work is most often cited by research in Genetics (208 citations), Developmental Neuroscience (67 citations), Rehabilitation (99 citations), Cellular and Molecular Neuroscience (241 citations) and Biomaterials (92 citations). Sa Cai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaobing Fu, YS Chan, Daisy Kwok‐Yan Shum, Qiang Ao, Zhiyong Sheng, Tongzhu Sun, Yonghong Lei, Zhi-yong Sheng, Yu Pan and Huancong Zuo. Their work appears in journals such as Wound Repair and Regeneration, Biotechnology Progress, Stem Cells Translational Medicine, BioScience and Nature Communications.

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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