Cun Yu Wang

4.6k total citations · 1 hit paper
7 papers, 3.2k citations indexed

About

Cun Yu Wang is a scholar working on Molecular Biology, Urology and Oncology. According to data from OpenAlex, Cun Yu Wang has authored 7 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Urology and 2 papers in Oncology. Recurrent topics in Cun Yu Wang's work include Oral microbiology and periodontitis research (2 papers), Periodontal Regeneration and Treatments (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Cun Yu Wang is often cited by papers focused on Oral microbiology and periodontitis research (2 papers), Periodontal Regeneration and Treatments (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Cun Yu Wang collaborates with scholars based in United States, Australia and Saudi Arabia. Cun Yu Wang's co-authors include Songtao Shi, P. Mark Bartold, Jaime S. Brahim, Byoung‐Moo Seo, Masako Miura, Stan Gronthos, Marian F. Young, Pamela Gehron Robey, Peter Beemiller and Yong Li and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Cun Yu Wang

7 papers receiving 3.2k citations

Hit Papers

Investigation of multipotent postnatal stem cells from hu... 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cun Yu Wang United States 5 1.6k 1.4k 1.3k 626 342 7 3.2k
Hideharu Hibi Japan 33 1.9k 1.2× 1.1k 0.8× 1.0k 0.8× 1.1k 1.7× 318 0.9× 138 3.7k
Motohiro Komaki Japan 27 1.1k 0.7× 1.4k 1.0× 812 0.6× 659 1.1× 279 0.8× 57 2.9k
Zhihong Deng China 27 887 0.6× 1.2k 0.8× 411 0.3× 562 0.9× 244 0.7× 67 2.7k
Danijela Menicanin Australia 20 1.1k 0.7× 789 0.6× 729 0.6× 553 0.9× 140 0.4× 23 1.9k
Yoichi Yamada Japan 30 1.4k 0.9× 815 0.6× 1.5k 1.1× 911 1.5× 221 0.6× 52 3.3k
Natasha Cherman United States 20 1.2k 0.7× 1.4k 1.0× 556 0.4× 534 0.9× 1.0k 3.1× 25 3.5k
Kun Xuan China 23 754 0.5× 776 0.6× 426 0.3× 339 0.5× 178 0.5× 57 2.0k
S. Pitaru Israel 33 561 0.3× 1.2k 0.9× 1.8k 1.4× 451 0.7× 559 1.6× 86 3.5k
Fulan Wei China 23 727 0.5× 1.0k 0.7× 556 0.4× 329 0.5× 210 0.6× 57 2.1k
Kengo Iwasaki Japan 27 532 0.3× 745 0.5× 639 0.5× 246 0.4× 392 1.1× 57 2.1k

Countries citing papers authored by Cun Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cun Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cun Yu Wang

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

All Works

7 of 7 papers shown
1.
Chen, Renxiang, et al.. (2023). Abstract 5738: A pan-ras mRNA vaccine elicits specific immune responses and inhibits tumor growth in the mouse model of colon cancer. Cancer Research. 83(7_Supplement). 5738–5738. 2 indexed citations
2.
Seneviratne, Chaminda Jayampath, et al.. (2019). Periodontal Commensals and Pathogens Differentially Modulate Immuno-Inflammatory Response in Human Oral Keratinocytes.. PubMed. 22(2). 105–112. 1 indexed citations
3.
Javed, Fawad, Nasser M. Al‐Daghri, Hom‐Lay Wang, Cun Yu Wang, & Khalid Al‐Hezaimi. (2014). Short‐Term Effects of Non‐Surgical Periodontal Treatment on the Gingival Crevicular Fluid Cytokine Profiles in Sites With Induced Periodontal Defects: A Study on Dogs With and Without Streptozotocin‐Induced Diabetes. Journal of Periodontology. 85(11). 1589–1595. 17 indexed citations
4.
Li, Yong, Yian Wang, Eunjung Kim, et al.. (2007). Bnip3 Mediates the Hypoxia-induced Inhibition on Mammalian Target of Rapamycin by Interacting with Rheb. Journal of Biological Chemistry. 282(49). 35803–35813. 219 indexed citations
5.
Fribley, Andrew M., Qinghua Zeng, Bae-Keun Park, et al.. (2006). Proteasome Inhibitor PS-341 Induces Apoptosis in Cisplatin-resistant Squamous Cell Carcinoma Cells by Induction of Noxa. Journal of Biological Chemistry. 281(42). 31440–31447. 103 indexed citations
6.
Seo, Byoung‐Moo, Masako Miura, Stan Gronthos, et al.. (2004). Investigation of multipotent postnatal stem cells from human periodontal ligament. The Lancet. 364(9429). 149–155. 2784 indexed citations breakdown →
7.
Demiralp, Burak, Abraham Schneider, Amy J. Koh, et al.. (2002). Parathyroid Hormone and Parathyroid Hormone-related Protein Exert Both Pro- and Anti-apoptotic Effects in Mesenchymal Cells. Journal of Biological Chemistry. 277(22). 19374–19381. 121 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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