Tiejun Wang

410 citations
19 papers · 310 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Drug Transport and Resistance Mechanisms

Papers in

    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4
    • Circular RNAs in diseases 4
    • RNA modifications and cancer 2

Tiejun Wang

19 papers receiving 305 citations

Peers

Tiejun Wang
Comparison fields: 5 of 58
  • Cancer Research 92
  • Oncology 62
  • Molecular Biology 157
  • Cell Biology 28
  • Obstetrics and Gynecology 11
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Xuyang Hou China
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Abdulkhaliq Alsaadi United Kingdom
Cleidson P. Alves United States
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Tiejun Wang relative to Erik Lizárraga-Verdugo Mexico Erik Lizárraga-Verdugo's profile →
Citations per field
00.5×
Erik Lizárraga-Verdugo · 1×
Citations per year

Countries citing papers authored by Tiejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201657
2 201843
3 202129
4 202127
5 201724
6 202122
7 202114
8 202113
9 201512
10 201912
11 202111
12 202110
13 20249
14 20229
15 20219
16 20205
17 20202
18
A randomized prospective study on combined treatment of patients with stage-III breast cancer
20031
19 20221

About Tiejun Wang

Tiejun Wang is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 19 papers that have together received 310 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (92 citations), Oncology (62 citations), Molecular Biology (157 citations), Cell Biology (28 citations) and Obstetrics and Gynecology (11 citations). Tiejun Wang has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Yan Zhang, Daozhen Chen, Ping Zou, Jing Cheng, Ting Zhang, Jie Mei, Liang Luo, Jianwei Zhou, Jingying Xiang and Minjian Chen. Their work appears in journals such as Frontiers in Genetics, Frontiers in Endocrinology, International Immunopharmacology, Frontiers in Immunology and Cancer Management and Research.

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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