Yan Xiang

2.1k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Yan Xiang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yan Xiang has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Yan Xiang's work include Lung Cancer Research Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yan Xiang is often cited by papers focused on Lung Cancer Research Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yan Xiang collaborates with scholars based in China, United States and Slovakia. Yan Xiang's co-authors include Chi V. Dang, Ping Gao, Ramani Dinavahi, Linda A. Lee, Gregg L. Semenza, Jonathan Pevsner, Huafeng Zhang, Venu Raman, Feng Li and Zaver M. Bhujwalla and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Cancer Cell.

In The Last Decade

Yan Xiang

29 papers receiving 1.4k citations

Hit Papers

HIF-Dependent Antitumorigenic Effect of Antioxidants In Vivo 2007 2026 2013 2019 2007 100 200 300 400
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. HIF-Dependent Antitumorigenic Effect of Antioxidants In Vivo
    2007 430 citations Ping Gao, Huafeng Zhang et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Xiang China 14 832 614 239 158 136 31 1.4k
Sravanth K. Hindupur Switzerland 11 930 1.1× 489 0.8× 200 0.8× 165 1.0× 111 0.8× 12 1.3k
Zheqiong Tan China 12 913 1.1× 742 1.2× 233 1.0× 130 0.8× 111 0.8× 19 1.4k
Parmanand Malvi United States 17 747 0.9× 477 0.8× 234 1.0× 114 0.7× 111 0.8× 28 1.2k
Tony W.H. Li United States 27 1.3k 1.5× 364 0.6× 238 1.0× 223 1.4× 124 0.9× 35 1.8k
Junjeong Choi South Korea 17 746 0.9× 645 1.1× 441 1.8× 115 0.7× 154 1.1× 42 1.4k
Mala Shanmugam United States 18 971 1.2× 511 0.8× 389 1.6× 77 0.5× 163 1.2× 42 1.4k
Katarzyna Augoff Poland 19 1.0k 1.2× 723 1.2× 299 1.3× 101 0.6× 122 0.9× 35 1.7k
Junhong Zhao China 19 805 1.0× 469 0.8× 244 1.0× 129 0.8× 207 1.5× 32 1.2k

Countries citing papers authored by Yan Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Xiang. A scholar is included among the top collaborators of Yan Xiang 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 Yan Xiang. Yan Xiang 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
1.
2.
Xiang, Yan, Xiaoyang Qu, Jie Wu, et al.. (2023). An integrated RNA-Seq and network pharmacology approach for exploring the preventive effect of Corydalis bungeana Turcz. Extract and Acetylcorynoline on LPS-induced acute lung injury. Journal of Ethnopharmacology. 318(Pt B). 117048–117048. 5 indexed citations
3.
Wan, Peng, et al.. (2023). Platelet Exosome-Derived miR-223-3p Regulates Pyroptosis in the Cell Model of Sepsis-Induced Acute Renal Injury by Targeting Mediates NLRP3. Critical Reviews in Immunology. 44(3). 53–65. 10 indexed citations
4.
Hedberg, Matthew L., Corbett T. Berry, Ata S. Moshiri, et al.. (2022). Molecular Mechanisms of Cutaneous Squamous Cell Carcinoma. International Journal of Molecular Sciences. 23(7). 3478–3478. 51 indexed citations
5.
Xie, Hong, Chih-Hang Anthony Tang, Jun Song, et al.. (2018). IRE1α RNase–dependent lipid homeostasis promotes survival in Myc-transformed cancers. Journal of Clinical Investigation. 128(4). 1300–1316. 101 indexed citations
6.
Wan, Peng, et al.. (2018). PI3K/AKT and CD40L Signaling Regulate Platelet Activation and Endothelial Cell Damage in Sepsis. Inflammation. 41(5). 1815–1824. 24 indexed citations
7.
Hu, Zhongyi, Lingegowda S. Mangala, Zachary E. Stine, et al.. (2017). MYC Targeted Long Noncoding RNA DANCR Promotes Cancer in Part by Reducing p21 Levels. Cancer Research. 78(1). 64–74. 91 indexed citations
8.
Zhang, Yuan, et al.. (2016). The effect of LOXL2 in hepatocellular carcinoma. Molecular Medicine Reports. 14(3). 1923–1932. 19 indexed citations
9.
Zhang, Yuan, et al.. (2015). Mechanism Analyses for Elucidating the Role of LOXL2 Silencing in Hepatocellular Carcinoma. Journal of Agricultural Science and Technology A. 5(5).
10.
Xie, Qiaoling, et al.. (2015). The Efficacy and Safety of Entecavir and Interferon Combination Therapy for Chronic Hepatitis B Virus Infection: A Meta-Analysis. PLoS ONE. 10(7). e0132219–e0132219. 13 indexed citations
11.
12.
Shukla, Krupa H., Dana Ferraris, Ajit G. Thomas, et al.. (2012). Design, Synthesis, and Pharmacological Evaluation of Bis-2-(5-phenylacetamido-1,2,4-thiadiazol-2-yl)ethyl Sulfide 3 (BPTES) Analogs as Glutaminase Inhibitors. Journal of Medicinal Chemistry. 55(23). 10551–10563. 160 indexed citations
13.
Xia, Jinsong, Yan Xiang, Melin Vranešić, et al.. (2008). Positron-Emission Tomography Imaging of the Angiotensin II Subtype 1 Receptor in Swine Renal Artery Stenosis. Hypertension. 51(2). 466–473. 19 indexed citations
14.
Guo, Xiang, et al.. (2008). [Occurrence and influencing factors of paranasal sinusitis in nasopharyngeal carcinoma patients after radiotherapy].. PubMed. 27(8). 866–9. 4 indexed citations
15.
Li, Feng, Jesse S. Handler, Cheng Ran Lisa Huang, et al.. (2008). Global Regulation of Nucleotide Biosynthetic Genes by c-Myc. PLoS ONE. 3(7). e2722–e2722. 225 indexed citations
16.
Liang, Wei, Fang Qiu, Ming Hong, et al.. (2008). [Differentially expressed genes between upward and downward progressing types of nasopharyngeal carcinoma].. PubMed. 27(5). 460–5. 5 indexed citations
17.
Gao, Ping, Huafeng Zhang, Ramani Dinavahi, et al.. (2007). HIF-Dependent Antitumorigenic Effect of Antioxidants In Vivo. Cancer Cell. 12(3). 230–238. 430 indexed citations breakdown →
18.
Guan, Zhong, et al.. (2006). [Significance of EGFR and p-ERK expression in nasopharyngeal carcinoma].. PubMed. 28(1). 28–31. 18 indexed citations
19.
Cao, Su Mei, et al.. (2006). [Clinical analysis of 1,142 hospitalized cantonese patients with nasopharyngeal carcinoma].. PubMed. 25(2). 204–8. 8 indexed citations
20.
Guan, Zhong Zhen, et al.. (2004). [Effect of epidermal growth factor receptor-selective tyrosine kinase inhibitor gefitinib on nasopharyngeal carcinoma xenografts].. PubMed. 23(11 Suppl). 1365–9. 1 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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