Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Constitutive Stat3 activity up-regulates VEGF expression and tumor angiogenesis
20021.0k citationsGuilian Niu, Kenneth L. Wright et al.Oncogeneprofile →
Regulation of the innate and adaptive immune responses by Stat-3 signaling in tumor cells
2003923 citationsTianhong Wang, Guilian Niu et al.Nature Medicineprofile →
Inhibiting Stat3 signaling in the hematopoietic system elicits multicomponent antitumor immunity
2005813 citationsMarcin Kortylewski, Maciej Kujawski et al.Nature Medicineprofile →
Constitutive activation of Stat3 by the Src and JAK tyrosine kinases participates in growth regulation of human breast carcinoma cells
2001654 citationsRoy Garcia, Tammy Bowman et al.Oncogeneprofile →
Persistently Activated Stat3 Maintains Constitutive NF-κB Activity in Tumors
2009558 citationsHeehyoung Lee, Andreas Herrmann et al.Cancer Cellprofile →
Targeting Stat3 blocks both HIF-1 and VEGF expression induced by multiple oncogenic growth signaling pathways
2005489 citationsQing Xu, Sungman Park et al.Oncogeneprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Guilian Niu'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 Guilian Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilian Niu more than expected).
This network shows the impact of papers produced by Guilian Niu. 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 Guilian Niu. The network helps show where Guilian Niu may publish in the future.
Co-authorship network of co-authors of Guilian Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Guilian Niu.
A scholar is included among the top collaborators of Guilian Niu 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 Guilian Niu. Guilian Niu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
19 of 19 papers shown
1.
Lee, Heehyoung, Andreas Herrmann, Jiehui Deng, et al.. (2009). Persistently Activated Stat3 Maintains Constitutive NF-κB Activity in Tumors. Cancer Cell. 15(4). 283–293.558 indexed citations breakdown →
Wang, Tianhong, Guilian Niu, Marcin Kortylewski, et al.. (2003). Regulation of the innate and adaptive immune responses by Stat-3 signaling in tumor cells. Nature Medicine. 10(1). 48–54.923 indexed citations breakdown →
13.
Fang, Weigang, Hongmei Li, Lingling Kong, et al.. (2003). [Role of matrix metalloproteinases (MMPs) in tumor invasion and metastasis: serial studies on MMPs and TIMPs].. PubMed. 35(4). 441–3.12 indexed citations
14.
Niu, Guilian, Kenneth L. Wright, Mei Huang, et al.. (2002). Constitutive Stat3 activity up-regulates VEGF expression and tumor angiogenesis. Oncogene. 21(13). 2000–2008.1019 indexed citations breakdown →
Garcia, Roy, Tammy Bowman, Guilian Niu, et al.. (2001). Constitutive activation of Stat3 by the Src and JAK tyrosine kinases participates in growth regulation of human breast carcinoma cells. Oncogene. 20(20). 2499–2513.654 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.