Tuanmin Yang

421 total citations
14 papers, 346 citations indexed

About

Tuanmin Yang is a scholar working on Molecular Biology, Cancer Research and Dermatology. According to data from OpenAlex, Tuanmin Yang has authored 14 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Dermatology. Recurrent topics in Tuanmin Yang's work include Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers) and Sarcoma Diagnosis and Treatment (2 papers). Tuanmin Yang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers) and Sarcoma Diagnosis and Treatment (2 papers). Tuanmin Yang collaborates with scholars based in China and Hong Kong. Tuanmin Yang's co-authors include Airong Qian, Chong Yin, Lifang Hu, Fan Zhao, Dijie Li, Zhiping Miao, Zhihao Chen, Dingjun Hao, Jia Li and Jitao Zhang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Biochimie.

In The Last Decade

Tuanmin Yang

14 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tuanmin Yang China 9 219 133 79 79 34 14 346
Markus Linder Austria 7 190 0.9× 61 0.5× 76 1.0× 73 0.9× 44 1.3× 10 309
Yiji Cheng China 9 183 0.8× 55 0.4× 45 0.6× 80 1.0× 20 0.6× 13 366
Malachia Hoover United States 8 138 0.6× 50 0.4× 78 1.0× 39 0.5× 20 0.6× 10 254
Xuan Sun Australia 6 158 0.7× 119 0.9× 76 1.0× 64 0.8× 19 0.6× 7 272
Marwa Asem United States 6 211 1.0× 65 0.5× 87 1.1× 52 0.7× 34 1.0× 8 345
Dean A. Fennell United Kingdom 3 322 1.5× 192 1.4× 58 0.7× 35 0.4× 22 0.6× 5 392
Yun Gu China 11 284 1.3× 227 1.7× 42 0.5× 45 0.6× 36 1.1× 22 384
Bhavna Murali United States 7 147 0.7× 45 0.3× 103 1.3× 61 0.8× 29 0.9× 9 319
Sonja E. Volker United States 4 308 1.4× 107 0.8× 101 1.3× 43 0.5× 30 0.9× 5 408

Countries citing papers authored by Tuanmin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tuanmin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuanmin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tuanmin Yang. A scholar is included among the top collaborators of Tuanmin Yang 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 Tuanmin Yang. Tuanmin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Chen, Xiujin, et al.. (2022). Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis. Computational and Mathematical Methods in Medicine. 2022. 1–16. 8 indexed citations
2.
Dang, Kai, et al.. (2020). Role of cancer stem cells in the development of giant cell tumor of bone. Cancer Cell International. 20(1). 135–135. 12 indexed citations
4.
Ma, Jianhua, Xiao Lin, Chen Chu, et al.. (2019). Circulating miR-181c-5p and miR-497-5p Are Potential Biomarkers for Prognosis and Diagnosis of Osteoporosis. The Journal of Clinical Endocrinology & Metabolism. 105(5). 1445–1460. 61 indexed citations
5.
Jiang, Kuo, Jia Li, Jitao Zhang, et al.. (2019). SDF-1/CXCR4 axis facilitates myeloid-derived suppressor cells accumulation in osteosarcoma microenvironment and blunts the response to anti-PD-1 therapy. International Immunopharmacology. 75. 105818–105818. 82 indexed citations
6.
Ali, Arshad, Lifang Hu, Airong Qian, Chu Chen, & Tuanmin Yang. (2018). Long Noncoding RNAs and Human Osteosarcoma. Journal of Stem Cell Research & Therapy. 8(3). 1 indexed citations
7.
Li, Siyu, Zhiping Miao, Ye Tian, et al.. (2018). Limethason reduces airway inflammation in a murine model of ovalbumin-induced chronic asthma without causing side effects. Experimental and Therapeutic Medicine. 15(3). 2269–2276. 4 indexed citations
8.
Miao, Zhiping, Arshad Ali, Lifang Hu, et al.. (2017). Microtubule actin cross‐linking factor 1, a novel potential target in cancer. Cancer Science. 108(10). 1953–1958. 43 indexed citations
9.
Hu, Lifang, Peihong Su, Runzhi Li, et al.. (2016). Isoforms, structures, and functions of versatile spectraplakin MACF1. BMB Reports. 49(1). 37–44. 38 indexed citations
10.
Yan, Kun, Yasir Arfat, Dijie Li, et al.. (2016). Structure Prediction: New Insights into Decrypting Long Noncoding RNAs. International Journal of Molecular Sciences. 17(1). 132–132. 46 indexed citations
11.
Sun, Yulong, Dijie Li, Ru Zhang, et al.. (2016). Strategies to identify natural antisense transcripts. Biochimie. 132. 131–151. 18 indexed citations
13.
Tong, Zhichao, et al.. (2008). [Study of inducing bone marrow-derived mesenchymal stem cells into chondrocytes in vitro].. PubMed. 21(5). 362–4. 2 indexed citations
14.
Yang, Tuanmin, Shifang Guo, Changrui Chen, Xiaoyu Zhang, & Wenguang Li. (2008). Anti-osteosarcoma effects and mechanisms of 4-O-amino-phenol-4‘-demethylepipodophyllotoxin ether. Journal of Pharmacy and Pharmacology. 60(2). 179–188. 3 indexed citations

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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