Tiejun Li

4.8k citations
166 papers · 3.6k · h-index 33

Impact in

Papers in

Tiejun Li

160 papers receiving 3.5k citations

Peers

Tiejun Li
Comparison fields: 5 of 144
  • Oral Surgery 1.3k
  • Rheumatology 710
  • Pharmacy 101
  • Developmental Neuroscience 86
  • Oncology 516
Replace Yrjö Collan with:
Yrjö Collan Finland
Frank G. Ondrey United States
Angelo Sidoni Italy
Xiaodong He China
Hiroaki Murata Japan
Kaori Shima United States
Albrecht Reith Norway
Lei Feng China
Tayebeh Pourmotabbed United States
Li‐Yan Xu China
Tiejun Li relative to Yrjö Collan Finland Yrjö Collan's profile →
Citations per field
00.5×10×15×18×
Yrjö Collan · 1×
Citations per year

Countries citing papers authored by Tiejun Li

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003168
2 2009165
3 2012146
4 2000122
5 1996117
6 2011113
7 200998
8 201095
9 201173
10 200970
11 201068
12 200562
13 201461
14 200860
15 201359
16
Myoepithelial carcinoma of the salivary glands: behavior and management.
200357
17
LncRNA ZFAS1 promotes growth and metastasis by regulating BMI1 and ZEB2 in osteosarcoma.
201757
18 200555
19 201355
20 200750

About Tiejun Li

Tiejun Li is a scholar working on Oral Surgery, Molecular Biology, Rheumatology, Surgery and Periodontics, having authored 166 papers that have together received 3.6k indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (48 papers), Bone Tumor Diagnosis and Treatments (17 papers), Hedgehog Signaling Pathway Studies (14 papers), Salivary Gland Tumors Diagnosis and Treatment (13 papers), Oral Health Pathology and Treatment (12 papers), Cancer-related molecular mechanisms research (7 papers), Tumors and Oncological Cases (7 papers) and Oral and gingival health research (5 papers). The work is most often cited by research in Oral Surgery (1.3k citations), Rheumatology (710 citations), Pharmacy (101 citations), Developmental Neuroscience (86 citations) and Oncology (516 citations). Tiejun Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shifeng Yu, Haiyan Luo, Lisha Sun, Jianyun Zhang, Shuang Pan, Bo Liu, Heyu Zhang, Yao‐Cheng Rui, Qing Dong and Guang‐Yan Yu. Their work appears in journals such as Oral Diseases, Journal of Oral Pathology and Medicine, Archives of Pathology & Laboratory Medicine, International Journal of Oral Science and The American Journal of Surgical Pathology.

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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