Dezhi Tang

2.1k total citations
52 papers, 1.6k citations indexed

About

Dezhi Tang is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Surgery. According to data from OpenAlex, Dezhi Tang has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Orthopedics and Sports Medicine and 10 papers in Surgery. Recurrent topics in Dezhi Tang's work include Bone Metabolism and Diseases (15 papers), Spine and Intervertebral Disc Pathology (8 papers) and TGF-β signaling in diseases (6 papers). Dezhi Tang is often cited by papers focused on Bone Metabolism and Diseases (15 papers), Spine and Intervertebral Disc Pathology (8 papers) and TGF-β signaling in diseases (6 papers). Dezhi Tang collaborates with scholars based in China, United States and South Korea. Dezhi Tang's co-authors include Di Chen, Regis J. O’Keefe, Yongjun Wang, Mo Chen, Suyang Hao, Michael J. Zuscik, Mei Zhu, Randy N. Rosier, Chao Xie and Qiuqian Wu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Dezhi Tang

49 papers receiving 1.6k citations

Peers

Dezhi Tang
Comparison fields: 5 of 117
  • Molecular Biology 894
  • Rheumatology 576
  • Oncology 245
  • Surgery 220
  • Pharmacology 216
Replace Chun Zeng with:
Chun Zeng China
Yubo Sun United States
Yoshinori Asou Japan
Steeve Kwan Tat Canada
Daozhang Cai China
Jean‐Pierre Pujol France
Glyn D. Palmer United States
Zhenhan Deng China
Daozhang Cai China
Yeri Alice Rim South Korea
Chun Zeng China View profile →
Citations per field, relative to Dezhi Tang
Dezhi Tang · 1×
Citations per year, relative to Dezhi Tang
Dezhi Tang · 1×

Countries citing papers authored by Dezhi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dezhi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezhi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Dezhi Tang. A scholar is included among the top collaborators of Dezhi 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 Dezhi Tang. Dezhi 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 1
2 0
3 3
4 0
5 2
6 21
7 1
8 15
9 17
10 2
11 3
12 32
13 19
14 55
15 20
16
Comparing pain reduction following vertebroplasty and conservative treatment for osteoporotic vertebral compression fractures: a meta-analysis of randomized controlled trials.
35
17 85
18 10
19 68
20 390

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026