Tong‐Chuan He

41.2k total citations · 7 hit papers
268 papers, 17.7k citations indexed

About

Tong‐Chuan He is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Tong‐Chuan He has authored 268 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 48 papers in Cancer Research and 40 papers in Surgery. Recurrent topics in Tong‐Chuan He's work include TGF-β signaling in diseases (25 papers), Wnt/β-catenin signaling in development and cancer (24 papers) and Cancer-related gene regulation (24 papers). Tong‐Chuan He is often cited by papers focused on TGF-β signaling in diseases (25 papers), Wnt/β-catenin signaling in development and cancer (24 papers) and Cancer-related gene regulation (24 papers). Tong‐Chuan He collaborates with scholars based in United States, China and Saudi Arabia. Tong‐Chuan He's co-authors include Bert Vogelstein, Kenneth W. Kinzler, Luís Teixeira da Costa, Jian Yu, Shibin Zhou, Rex C. Haydon, Hue H. Luu, K. W. Kinzler, Timothy A. Chan and B Vogelstein and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tong‐Chuan He

254 papers receiving 17.4k citations

Hit Papers

A simplified system for generating recombinant adenoviruses 1997 2026 2006 2016 1998 1997 1999 2003 2007 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
Tong‐Chuan He United States 57 11.3k 3.5k 2.3k 2.1k 1.9k 268 17.7k
Gary S. Stein United States 69 13.4k 1.2× 3.4k 1.0× 2.3k 1.0× 2.5k 1.2× 1.2k 0.6× 351 18.9k
Jian Xu China 49 10.0k 0.9× 4.1k 1.2× 3.5k 1.5× 907 0.4× 1.2k 0.7× 215 17.3k
Harry Begthel Netherlands 41 10.5k 0.9× 8.8k 2.5× 2.3k 1.0× 3.8k 1.8× 2.9k 1.5× 59 18.8k
Gary S. Stein United States 82 18.3k 1.6× 5.0k 1.4× 5.5k 2.4× 2.6k 1.2× 1.2k 0.6× 414 24.4k
Mary B. Goldring United States 73 8.0k 0.7× 2.5k 0.7× 4.3k 1.8× 1.3k 0.6× 3.6k 1.9× 226 23.3k
M. Luisa Iruela‐Arispe United States 82 12.5k 1.1× 3.1k 0.9× 5.0k 2.2× 1.6k 0.7× 2.0k 1.1× 202 21.4k
Hiroshi Inoue Japan 74 10.0k 0.9× 4.3k 1.2× 2.3k 1.0× 2.7k 1.3× 3.3k 1.7× 398 18.9k
Herman Yeger Canada 56 7.6k 0.7× 2.8k 0.8× 1.7k 0.7× 1.2k 0.6× 2.0k 1.1× 213 13.1k
Noriaki Tanaka Japan 58 5.4k 0.5× 2.8k 0.8× 1.1k 0.5× 1.7k 0.8× 3.1k 1.6× 425 12.3k
Maaike van den Born Netherlands 33 12.2k 1.1× 9.4k 2.7× 2.4k 1.0× 4.5k 2.1× 2.9k 1.5× 34 20.7k

Countries citing papers authored by Tong‐Chuan He

Since Specialization
Citations

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

Fields of papers citing papers by Tong‐Chuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tong‐Chuan He. 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 Tong‐Chuan He. The network helps show where Tong‐Chuan He may publish in the future.

Co-authorship network of co-authors of Tong‐Chuan He

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

All Works

20 of 20 papers shown
2.
Ran, Shujun, et al.. (2025). Antimicrobial sonodynamic therapy: Recent advances and challenges in new therapeutic approaches to antimicrobials. Journal of Pharmaceutical Analysis. 16(3). 101375–101375.
3.
Wang, Yong‐Hui, et al.. (2024). Hybrid functional membranes through layer-by-layer assembly of Ti3C2Tx MXene and gelatin-stabilized calcium phosphate nanospheres. Applied Materials Today. 37. 102144–102144. 5 indexed citations
4.
Li, Jiajia, S. Rahaman, Yi Zhu, et al.. (2024). Engrailed-1 inactivation leads to scarless skin wound healing through extracellular matrix remodeling. Genes & Diseases. 12(3). 101484–101484. 2 indexed citations
5.
Wu, Qiong, Chunjie Yu, Fang Yu, et al.. (2024). Evi1 governs Kdm6b-mediated histone demethylation to regulate the Laptm4b-driven mTOR pathway in hematopoietic progenitor cells. Journal of Clinical Investigation. 134(24). 1 indexed citations
6.
Lin, Zitong, Yugang Liu, Yujin Ahn, et al.. (2024). Personalized composite scaffolds for accelerated cell- and growth factor-free craniofacial bone regeneration. Bioactive Materials. 41. 427–439. 11 indexed citations
7.
He, Tong‐Chuan, et al.. (2023). The impact of metabolic disorders on management of periodontal health in children. SHILAP Revista de lepidopterología. 2(1).
8.
Yu, Michael S., Kevin Qin, Jiaming Fan, et al.. (2023). The evolving roles of Wnt signaling in stem cell proliferation and differentiation, the development of human diseases, and therapeutic opportunities. Genes & Diseases. 11(3). 101026–101026. 50 indexed citations
9.
He, Tong‐Chuan, et al.. (2023). Comparison of the main pathogenic microorganisms of various common oral diseases in children and adults. SHILAP Revista de lepidopterología. 1(3). 5 indexed citations
11.
12.
Ren, Xiaoyan, Qi Zhou, David Foulad, et al.. (2019). Osteoprotegerin reduces osteoclast resorption activity without affecting osteogenesis on nanoparticulate mineralized collagen scaffolds. Science Advances. 5(6). eaaw4991–eaaw4991. 50 indexed citations
13.
Deng, Youlin, Zhongliang Wang, Fugui Zhang, et al.. (2016). A Blockade of IGF Signaling Sensitizes Human Ovarian Cancer Cells to the Anthelmintic Niclosamide-Induced Anti-Proliferative and Anticancer Activities. Cellular Physiology and Biochemistry. 39(3). 871–888. 19 indexed citations
14.
Zhang, Yejia, Ana Chee, Peng Shi, et al.. (2014). Allogeneic Articular Chondrocyte Transplantation Downregulates Interleukin 8 Gene Expression in the Degenerating Rabbit Intervertebral Disk In Vivo. American Journal of Physical Medicine & Rehabilitation. 94(7). 530–538. 21 indexed citations
15.
Zhang, Wenwen, Hongyu Zhang, Ning Wang, et al.. (2013). Modulation of β-Catenin Signaling by the Inhibitors of MAP Kinase, Tyrosine Kinase, and PI3-Kinase Pathways. International Journal of Medical Sciences. 10(13). 1888–1898. 17 indexed citations
16.
Zheng, Huilin, et al.. (2012). LIGHT Delivery to Tumors by Mesenchymal Stem Cells Mobilizes an Effective Antitumor Immune Response. Cancer Research. 72(12). 2980–2989. 40 indexed citations
17.
Tang, Ni, Wenxin Song, Jinyong Luo, Rex C. Haydon, & Tong‐Chuan He. (2008). Osteosarcoma Development and Stem Cell Differentiation. Clinical Orthopaedics and Related Research. 466(9). 2114–2130. 269 indexed citations
18.
Du, Wei, Tong‐Chuan He, Chun‐Su Yuan, et al.. (2007). Chemopreventive effects of Panax notoginseng and its major constituents on SW480 human colorectal cancer cells. International Journal of Oncology. 44 indexed citations
19.
Si, Weike, Quan Kang, Hue H. Luu, et al.. (2006). CCN1/Cyr61 Is Regulated by the Canonical Wnt Signal and Plays an Important Role in Wnt3A-Induced Osteoblast Differentiation of Mesenchymal Stem Cells. Molecular and Cellular Biology. 26(8). 2955–2964. 198 indexed citations
20.
Cheng, Hongwei, Wei Jiang, Frank M. Phillips, et al.. (2003). OSTEOGENIC ACTIVITY OF THE FOURTEEN TYPES OF HUMAN BONE MORPHOGENETIC PROTEINS (BMPS). Journal of Bone and Joint Surgery. 85(8). 1544–1552. 756 indexed citations breakdown →

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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