Xiao-Fan Wang

7.3k total citations · 2 hit papers
43 papers, 6.0k citations indexed

About

Xiao-Fan Wang is a scholar working on Molecular Biology, Oncology and Computer Networks and Communications. According to data from OpenAlex, Xiao-Fan Wang has authored 43 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Oncology and 5 papers in Computer Networks and Communications. Recurrent topics in Xiao-Fan Wang's work include TGF-β signaling in diseases (10 papers), Cancer-related Molecular Pathways (7 papers) and DNA Repair Mechanisms (6 papers). Xiao-Fan Wang is often cited by papers focused on TGF-β signaling in diseases (10 papers), Cancer-related Molecular Pathways (7 papers) and DNA Repair Mechanisms (6 papers). Xiao-Fan Wang collaborates with scholars based in United States, China and Taiwan. Xiao-Fan Wang's co-authors include Marikki Laiho, Juan M. Cárcamo, Jeffrey L. Wrana, Joan Massagué, Alejandro Zentella‐Dehesa, Jacqueline Doody, Liliana Attisano, Jeremy N. Rich, Shideng Bao and Anita B. Hjelmeland and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Circulation.

In The Last Decade

Xiao-Fan Wang

40 papers receiving 5.9k citations

Hit Papers

TGFβ signals through a heteromeric protein kinase recepto... 1992 2026 2003 2014 1992 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Fan Wang United States 30 3.9k 1.9k 1.3k 717 567 43 6.0k
Pipsa Saharinen Finland 36 3.5k 0.9× 2.6k 1.4× 930 0.7× 660 0.9× 1.1k 1.9× 69 6.5k
Thomas Boehm Switzerland 32 4.2k 1.1× 1.2k 0.6× 2.2k 1.7× 517 0.7× 460 0.8× 87 7.4k
Carla Di Loreto Italy 38 3.0k 0.8× 1.3k 0.7× 1.1k 0.9× 1.1k 1.6× 693 1.2× 150 6.4k
Lauri Eklund Finland 31 2.2k 0.6× 1.1k 0.6× 700 0.5× 541 0.8× 380 0.7× 63 4.6k
Antonio Gualberto United States 35 3.1k 0.8× 1.6k 0.9× 1.3k 1.0× 409 0.6× 590 1.0× 109 5.2k
Boris Pasche United States 40 3.0k 0.8× 2.1k 1.1× 1.2k 0.9× 236 0.3× 542 1.0× 122 5.9k
Daniela S. Krause United States 30 2.8k 0.7× 1.6k 0.8× 536 0.4× 501 0.7× 1.3k 2.4× 74 6.0k
Antonino Passaniti United States 39 3.6k 0.9× 1.1k 0.6× 1.5k 1.1× 158 0.2× 699 1.2× 85 5.6k
Anna Dimberg Sweden 38 4.5k 1.2× 2.2k 1.2× 1.5k 1.2× 191 0.3× 1.7k 3.0× 92 7.8k
Catherine Muller France 36 2.2k 0.6× 1.6k 0.8× 1.6k 1.2× 314 0.4× 520 0.9× 65 4.3k

Countries citing papers authored by Xiao-Fan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Fan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Fan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Fan Wang. A scholar is included among the top collaborators of Xiao-Fan 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 Xiao-Fan Wang. Xiao-Fan Wang 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.
Huang, Xiaoli, Xiao-Fan Wang, Yanhong Wang, et al.. (2024). TIMP-1 Promotes Expression of MCP-1 and Macrophage Migration by Inducing Fli-1 in Experimental Liver Fibrosis. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 4 indexed citations
3.
Xiang, Handan, Lifeng Yuan, Xia Gao, et al.. (2017). UHRF1 is required for basal stem cell proliferation in response to airway injury. Cell Discovery. 3(1). 17019–17019. 28 indexed citations
4.
Dai, Xiaohua, Hong Jiang, Edi Levi, et al.. (2015). SMAD3 deficiency promotes vessel wall remodeling, collagen fiber reorganization and leukocyte infiltration in an inflammatory abdominal aortic aneurysm mouse model. Scientific Reports. 5(1). 10180–10180. 45 indexed citations
5.
Huang, Zi‐Gang, et al.. (2014). Emergence, Evolution and Scaling of Online Social Networks. PLoS ONE. 9(11). e111013–e111013. 3 indexed citations
6.
Yang, Pengyuan, Qi-Jing Li, Yuxiong Feng, et al.. (2012). TGF-β-miR-34a-CCL22 Signaling-Induced Treg Cell Recruitment Promotes Venous Metastases of HBV-Positive Hepatocellular Carcinoma. Cancer Cell. 22(3). 291–303. 456 indexed citations breakdown →
7.
Zhang, Liyong, Jing Wu, Hyun Kim, et al.. (2010). Proteolysis of Rad17 by Cdh1/APC regulates checkpoint termination and recovery from genotoxic stress. The EMBO Journal. 29(10). 1726–1737. 34 indexed citations
8.
Schilling, Stephen H., Anita B. Hjelmeland, Daniel R. Radiloff, et al.. (2009). NDRG4 Is Required for Cell Cycle Progression and Survival in Glioblastoma Cells. Journal of Biological Chemistry. 284(37). 25160–25169. 47 indexed citations
9.
Li, Jingjing, et al.. (2009). Liver Cancer: Ephrina2 Promotes Tumorigenicity Through Rac1/Akt/Nf-κB Signaling Pathway. Hepatology. 51(2). 535–544. 44 indexed citations
10.
Guo, Jessie Yanxiang, Ayumi Yamada, Taisuke Kajino, et al.. (2008). Aven-Dependent Activation of ATM Following DNA Damage. Current Biology. 18(13). 933–942. 41 indexed citations
11.
Margolis, Seth S., Jennifer A. Perry, Craig M. Forester, et al.. (2006). Role for the PP2A/B56δ Phosphatase in Regulating 14-3-3 Release from Cdc25 to Control Mitosis. Cell. 127(4). 759–773. 163 indexed citations
12.
Hjelmeland, Anita B., Mark D. Hjelmeland, Qing Shi, et al.. (2005). Loss of Phosphatase and Tensin Homologue Increases Transforming Growth Factor β–Mediated Invasion with Enhanced SMAD3 Transcriptional Activity. Cancer Research. 65(24). 11276–11281. 33 indexed citations
13.
Chow, Edward Kai‐Hua, Ryan M. O’Connell, Stephen H. Schilling, et al.. (2005). TLR agonists regulate PDGF‐B production and cell proliferation through TGF‐β/type I IFN crosstalk. The EMBO Journal. 24(23). 4071–4081. 39 indexed citations
14.
Bao, Shideng, Gaoliang Ouyang, Xuefang Bai, et al.. (2004). Periostin potently promotes metastatic growth of colon cancer by augmenting cell survival via the Akt/PKB pathway. Cancer Cell. 5(4). 329–339. 470 indexed citations
15.
Fang, Yanan, Barbara K. Goodman, Ryohei Furumai, et al.. (2004). ATR functions as a gene dosage‐dependent tumor suppressor on a mismatch repair‐deficient background. The EMBO Journal. 23(15). 3164–3174. 84 indexed citations
16.
Ali, Ambereen, Ji Zhang, Shideng Bao, et al.. (2004). Requirement of protein phosphatase 5 in DNA-damage-induced ATM activation. Genes & Development. 18(3). 249–254. 129 indexed citations
17.
Schnabl, Bernd, Young Oh Kweon, Joshua P. Frederick, et al.. (2001). The Role of Smad3 in Mediating Mouse Hepatic Stellate Cell Activation. Hepatology. 34(1). 89–100. 213 indexed citations
18.
Hu, Patrick, et al.. (1999). The MEK Pathway Is Required for Stimulation of p21WAF1/CIP1 by Transforming Growth Factor-β. Journal of Biological Chemistry. 274(50). 35381–35387. 135 indexed citations
19.
Chen, Changguo, Xiao-Fan Wang, & Lu‐Zhe Sun. (1997). Expression of Transforming Growth Factor β (TGFβ) Type III Receptor Restores Autocrine TGFβ1 Activity in Human Breast Cancer MCF-7 Cells. Journal of Biological Chemistry. 272(19). 12862–12867. 49 indexed citations
20.
Wrana, Jeffrey L., Liliana Attisano, Juan M. Cárcamo, et al.. (1992). TGFβ signals through a heteromeric protein kinase receptor complex. Cell. 71(6). 1003–1014. 1346 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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