Tiejun Yuan

20 papers receiving 660 citations

Peers

Tiejun Yuan
Comparison fields: 5 of 91
  • Rehabilitation 87
  • Pharmaceutical Science 53
  • Microbiology 49
  • Biomaterials 101
  • Cancer Research 106
Replace Jason S. Buhrman with:
Jason S. Buhrman United States
Hasan Bilgili Türkiye
Tor Svensjö Sweden
Changqing Yuan China
Elia Bari Italy
Vera Martins United Kingdom
Geuranne S. Tjabringa Netherlands
Steven T. Boyce United States
Federica Riva Italy
Yanchun Quan China
Tiejun Yuan relative to Jason S. Buhrman United States Jason S. Buhrman's profile →
Citations per field
00.5×3.8×
Jason S. Buhrman · 1×
Citations per year

Countries citing papers authored by Tiejun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021157
2 2020140
3 202078
4 201948
5 202040
6 202240
7 201933
8 202320
9 202119
10 201818
11 201817
12 201912
13 202011
14
Bacterial extract OM-85 BV protects mice against experimental chronic rhinosinusitis.
20158
15 20198
16 20226
17 20225
18
Effect of nimotuzumab and PF induction chemotherapy combined with concurrent chemoradiotherapy in treating locally advanced nasopharyngeal carcinoma.
20214
19
[Expression and significance of TERT and c-Myc oncogene protein product on cholesteatoma epithelium].
20051
20
Efficacy of chemoradiotherapy combined with bevacizumab in patients with nasopharyngeal carcinoma: A comparative study.
20201

About Tiejun Yuan

Tiejun Yuan is a scholar working on Molecular Biology, Rehabilitation, Otorhinolaryngology, Genetics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 666 indexed citations. Recurring topics across this work include Wound Healing and Treatments (5 papers), Nerve injury and regeneration (3 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Sinusitis and nasal conditions (2 papers), Lung Cancer Research Studies (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Rehabilitation (87 citations), Pharmaceutical Science (53 citations), Microbiology (49 citations), Biomaterials (101 citations) and Cancer Research (106 citations). Tiejun Yuan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Li‐Hua Peng, Xuehan Xu, Zhi‐Hong Jiang, Mao‐Ze Wang, Jie Niu, Haitao Shao, Yi-Yu Huang, Jianqing Gao, Yang Chu and Xinghai Ning. Their work appears in journals such as Biomedicine & Pharmacotherapy, Transfusion, International Journal of Pharmaceutics, BMC Cancer and Advanced Healthcare Materials.

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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