Guorong Yang

1.5k total citations · 1 hit paper
19 papers, 920 citations indexed

About

Guorong Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Guorong Yang has authored 19 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Guorong Yang's work include Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers) and Kruppel-like factors research (2 papers). Guorong Yang is often cited by papers focused on Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers) and Kruppel-like factors research (2 papers). Guorong Yang collaborates with scholars based in China, United States and Philippines. Guorong Yang's co-authors include Gottfried E. Konecny, Dennis J. Slamon, Richard S. Finn, Natarajan Venkatesan, Glenn Spehar, Barry R. Keith, Martina Rahmeh, Mark D. Pegram, Karl C. Podratz and Mark S. Berger and has published in prestigious journals such as Cancer Research, Chemical Communications and Clinical Cancer Research.

In The Last Decade

Guorong Yang

18 papers receiving 898 citations

Hit Papers

Activity of the Dual Kinase Inhibitor Lapatinib (GW572016... 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

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.

  1. Activity of the Dual Kinase Inhibitor Lapatinib (GW572016) against HER-2-Overexpressing and Trastuzumab-Treated Breast Cancer Cells
    2006 711 citations Gottfried E. Konecny, Mark D. Pegram et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guorong Yang China 8 611 369 269 181 121 19 920
Devika Gajria United States 12 536 0.9× 322 0.9× 190 0.7× 136 0.8× 123 1.0× 31 867
Anantbhushan Ranade India 11 557 0.9× 228 0.6× 202 0.8× 286 1.6× 121 1.0× 32 795
Jennifer Vermette United States 8 712 1.2× 334 0.9× 304 1.1× 305 1.7× 86 0.7× 14 964
Erica Rappold United States 11 729 1.2× 319 0.9× 177 0.7× 287 1.6× 125 1.0× 28 1.1k
CL Arteaga United States 12 544 0.9× 429 1.2× 139 0.5× 316 1.7× 175 1.4× 27 946
Raul Ayala United States 9 356 0.6× 483 1.3× 84 0.3× 253 1.4× 124 1.0× 18 830
Bernhard Heinrich Germany 14 439 0.7× 160 0.4× 129 0.5× 187 1.0× 66 0.5× 36 630
Martin Olivo United States 15 1.0k 1.6× 265 0.7× 134 0.5× 475 2.6× 270 2.2× 38 1.2k
Sharon Wilks United States 16 688 1.1× 272 0.7× 125 0.5× 405 2.2× 236 2.0× 49 950
Yanxia Shi China 18 571 0.9× 311 0.8× 141 0.5× 256 1.4× 213 1.8× 76 982

Countries citing papers authored by Guorong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guorong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guorong Yang. A scholar is included among the top collaborators of Guorong 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 Guorong Yang. Guorong Yang 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.
2.
Yang, Guorong, et al.. (2024). Night shift work and prostate cancer: a large cohort study from UK Biobank and Mendelian randomisation study. BMJ Open. 14(12). e084401–e084401. 1 indexed citations
3.
Gao, Fan, Lu Yin, Qiang Cheng, et al.. (2024). Blood cadmium levels and overactive bladder in middle-aged and older adults in the United States: Insights from NHANES 2007–2020 data. Environmental Pollution. 363(Pt 2). 125148–125148. 3 indexed citations
4.
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Liu, Wenjing, et al.. (2023). Flexible lightweight Bi2O3-rubber based materials for X-ray protection. Radiation Physics and Chemistry. 216. 111395–111395. 2 indexed citations
6.
Cao, Feiwei, Qinchao Ding, Guorong Yang, et al.. (2023). Lactobacillus plantarum ZJUIDS14 alleviates non-alcoholic fatty liver disease in mice in association with modulation in the gut microbiota. Frontiers in Nutrition. 9. 1071284–1071284. 26 indexed citations
7.
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Zhou, Xiaogang, et al.. (2022). Requirement of a putative mitochondrial GTPase, GemA, for azole susceptibility, virulence, and cell wall integrity in Aspergillus fumigatus. Frontiers in Microbiology. 13. 957857–957857. 7 indexed citations
9.
Wang, Lin, et al.. (2022). GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma. Medicine. 101(32). e29645–e29645. 1 indexed citations
10.
Yang, Guorong, et al.. (2022). Ultrathin fluoroacrylic coating wrapped microporous non-woven fabrics as efficient air filtration membranes. Chemical Communications. 58(81). 11450–11453. 4 indexed citations
11.
Yang, Guorong, et al.. (2021). High TRAF3IP3 Level Predicts Poor Prognosis of Patients with Gliomas. World Neurosurgery. 148. e436–e449. 6 indexed citations
12.
Wan, Jianxin, et al.. (2019). The relation of microsatellite instability to expression of hTERT in human gastric carcinoma.. PubMed. 12(6). 2257–2263.
13.
Huang, Junhui, Meizuo Zhong, Li Li, et al.. (2016). Multiple Roles of WNT5A in Breast Cancer. Medical Science Monitor. 22. 5058–5067. 19 indexed citations
14.
Beltran, Pedro J., Frank J. Calzone, Petia Mitchell, et al.. (2014). Ganitumab (AMG 479) Inhibits IGF-II–Dependent Ovarian Cancer Growth and Potentiates Platinum-Based Chemotherapy. Clinical Cancer Research. 20(11). 2947–2958. 41 indexed citations
15.
Yang, Guorong, et al.. (2013). Oral Bisphosphonates and the Risk of Colorectal Cancer. Journal of Clinical Gastroenterology. 47(9). 741–748. 11 indexed citations
16.
Hu, Huabin, et al.. (2013). Nonsteroidal anti-inflammatory drug use and the risk of melanoma. European Journal of Cancer Prevention. 23(1). 62–68. 8 indexed citations
17.
Konecny, Gottfried E., Teodora Kolarova, Neil A. O’Brien, et al.. (2013). Activity of the Fibroblast Growth Factor Receptor Inhibitors Dovitinib (TKI258) and NVP-BGJ398 in Human Endometrial Cancer Cells. Molecular Cancer Therapeutics. 12(5). 632–642. 68 indexed citations
18.
Yang, Guorong, et al.. (2011). [Effects of human cytomegalovirus on the cell cycle of duct epithelial cell cultures of human salivary gland in vitro and relative mechanism].. PubMed. 25(3). 188–90. 1 indexed citations
19.
Konecny, Gottfried E., Mark D. Pegram, Natarajan Venkatesan, et al.. (2006). Activity of the Dual Kinase Inhibitor Lapatinib (GW572016) against HER-2-Overexpressing and Trastuzumab-Treated Breast Cancer Cells. Cancer Research. 66(3). 1630–1639. 711 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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