Xiaolin Tang

912 total citations
46 papers, 695 citations indexed

About

Xiaolin Tang is a scholar working on Periodontics, Molecular Biology and Epidemiology. According to data from OpenAlex, Xiaolin Tang has authored 46 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Periodontics, 15 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Xiaolin Tang's work include Oral microbiology and periodontitis research (17 papers), Vitamin D Research Studies (5 papers) and Periodontal Regeneration and Treatments (4 papers). Xiaolin Tang is often cited by papers focused on Oral microbiology and periodontitis research (17 papers), Vitamin D Research Studies (5 papers) and Periodontal Regeneration and Treatments (4 papers). Xiaolin Tang collaborates with scholars based in China, United States and Australia. Xiaolin Tang's co-authors include Yaping Pan, Huanxin Meng, Chunling Pan, Yanyan Zhao, Xianghui Feng, Qian Li, Hongyan Wang, Fengxue Geng, Dongquan Shi and Li Lin and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biophysical Journal and Journal of Experimental Botany.

In The Last Decade

Xiaolin Tang

44 papers receiving 682 citations

Peers

Xiaolin Tang
Comparison fields: 5 of 95
  • Periodontics 292
  • Molecular Biology 189
  • Pathology and Forensic Medicine 151
  • Immunology 76
  • Oncology 69
Replace Natalia Lewkowicz with:
Natalia Lewkowicz Poland
Mila Fernandes Moreira Madeira Brazil
Yang Duan China
Takayuki Kawato Japan
Kazuya Hokamura Japan
Michelle F. Siqueira Canada
Takahiro Chino United States
Nasir Bashirelahi United States
Sandra Pacios United States
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Natalia Lewkowicz Poland View profile →
Citations per field, relative to Xiaolin Tang
Xiaolin Tang · 1×
Citations per year, relative to Xiaolin Tang
Xiaolin Tang · 1×

Countries citing papers authored by Xiaolin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Tang. A scholar is included among the top collaborators of Xiaolin Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaolin Tang. Xiaolin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 2
4 4
5 59
6 26
7 21
8 1
9 10
10 21
11 21
12 22
13 17
14 31
15 4
16 1
17 58
18 21
19 27
20 20

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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