Guoping Zhou

3.1k total citations · 1 hit paper
88 papers, 2.4k citations indexed

About

Guoping Zhou is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Guoping Zhou has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Cancer Research and 16 papers in Immunology. Recurrent topics in Guoping Zhou's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Phytochemistry and Biological Activities (8 papers). Guoping Zhou is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Phytochemistry and Biological Activities (8 papers). Guoping Zhou collaborates with scholars based in China, United States and Austria. Guoping Zhou's co-authors include John Hiscott, Nathalie Grandvaux, Benjamin R. tenOever, Rongtuan Lin, Sonia Sharma, Feng Jiang, Yan Mao, Sheng‐Hua Wu, Chao Lu and Hui‐Zheng Fu and has published in prestigious journals such as Science, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Guoping Zhou

87 papers receiving 2.4k citations

Hit Papers

Triggering the Interferon Antiviral Response Through an I... 2003 2026 2010 2018 2003 400 800 1.2k
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. Triggering the Interferon Antiviral Response Through an IKK-Related Pathway
    2003 1.4k citations Guoping Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Zhou China 20 1.3k 941 559 350 324 88 2.4k
Masanaka Sugiyama Japan 9 2.9k 2.2× 773 0.8× 677 1.2× 391 1.1× 577 1.8× 19 3.6k
Jin Gohda Japan 24 966 0.7× 1.2k 1.2× 673 1.2× 388 1.1× 239 0.7× 48 2.4k
Yun You China 25 1.3k 0.9× 1.1k 1.2× 803 1.4× 347 1.0× 396 1.2× 69 2.8k
Xiongfei Xu China 19 861 0.6× 744 0.8× 553 1.0× 296 0.8× 195 0.6× 37 1.8k
Gary D. Bren United States 27 1.1k 0.8× 1.2k 1.3× 944 1.7× 494 1.4× 292 0.9× 53 2.7k
Huazhang An China 33 2.4k 1.8× 1.9k 2.0× 902 1.6× 567 1.6× 373 1.2× 54 4.2k
Sachiko Akashi‐Takamura Japan 26 2.1k 1.6× 1.9k 2.0× 368 0.7× 383 1.1× 475 1.5× 43 3.7k
Ana M. Gamero United States 30 1.8k 1.3× 958 1.0× 267 0.5× 856 2.4× 337 1.0× 59 2.8k
Yoshikazu Naiki Japan 21 1.2k 0.9× 740 0.8× 247 0.4× 345 1.0× 343 1.1× 76 2.3k

Countries citing papers authored by Guoping Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Zhou. A scholar is included among the top collaborators of Guoping Zhou 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 Guoping Zhou. Guoping Zhou 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.
Qian, Dawei, et al.. (2024). Modulation of long noncoding RNAs by polyphenols as a novel potential therapeutic approach in lung cancer: A comprehensive review. Phytotherapy Research. 38(6). 3240–3267. 3 indexed citations
2.
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Mao, Yan, et al.. (2023). Inhibition of IGF2BP1 attenuates renal injury and inflammation by alleviating m6A modifications and E2F1/MIF pathway. International Journal of Biological Sciences. 19(2). 593–609. 29 indexed citations
4.
Xu, Fang, et al.. (2023). Diverse terpenoid glycosides with in vitro cytotoxicity from Glechoma longituba. Phytochemistry. 217. 113923–113923. 3 indexed citations
5.
6.
Liu, Siyuan, Bin Wang, Zhiwei Sui, et al.. (2021). Faster Detection of Staphylococcus aureus in Milk and Milk Powder by Flow Cytometry. Foodborne Pathogens and Disease. 18(5). 346–353. 13 indexed citations
7.
Jiang, Feng, Yan Mao, Binbin Lu, Guoping Zhou, & Jimei Wang. (2021). A hypoxia risk signature for the tumor immune microenvironment evaluation and prognosis prediction in acute myeloid leukemia. Scientific Reports. 11(1). 14657–14657. 19 indexed citations
8.
Wang, Ziquan, Siyuan Liu, Longquan Li, et al.. (2021). Rapid Detection of Single Viable Escherichia coli O157 Cells in Fresh Lettuce and Strawberry by Immunomagnetic Flow Cytometry in Combination with Pre-Enrichment. Foodborne Pathogens and Disease. 19(1). 36–44. 10 indexed citations
9.
Zhang, Duo, Xinglong Wu, Caiyun Yang, et al.. (2019). Transcription factor E2F1 positively regulates interferon regulatory factor 5 expression in non-small cell lung cancer. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Wang, Lulu, Wendi Zhou, Xiaohua Wang, et al.. (2017). Down-regulated GATA-1 up-regulates interferon regulatory factor 3 in lung adenocarcinoma. Scientific Reports. 7(1). 2551–2551. 9 indexed citations
11.
12.
Zhuang, Lili, et al.. (2013). All-Trans Retinoic Acid Modulates ORMDL3 Expression via Transcriptional Regulation. PLoS ONE. 8(10). e77304–e77304. 7 indexed citations
13.
Zou, Li, Hua‐Guo Xu, Wei Ren, et al.. (2012). Transcriptional Activation of the Human CD2AP Promoter by E2F1. PLoS ONE. 7(8). e42774–e42774. 4 indexed citations
14.
Yang, Dan, Zhong‐Zhi Qian, Yanze Liu, et al.. (2010). New Collection of Crude Drugs in Chinese Pharmacopoeia 2010 I. Callicarpa Linn. and Related Items. Chinese Herbal Medicines. 2(4). 272–288. 11 indexed citations
15.
16.
Zhou, Guoping. (2006). ERK1/2 mediates production of MCP-1 by connective tissue growth factor-stimulated mesangial cells. Immunological Journal. 1 indexed citations
17.
Wu, Sheng‐Hua, et al.. (2006). Lipoxin A4 inhibits connective tissue growth factor-induced production of chemokines in rat mesangial cells. Kidney International. 69(2). 248–256. 50 indexed citations
18.
Crable, Scott C., Suzan M. Hammond, Guoping Zhou, et al.. (2005). Multiple isoforms of the KC1 cotransporter are expressed in sickle and normal erythroid cells. Experimental Hematology. 33(6). 624–631. 34 indexed citations
19.
Wu, Sheng‐Hua, et al.. (2005). Lipoxin A4 inhibits TNF-α-induced production of interleukins and proliferation of rat mesangial cells. Kidney International. 68(1). 35–46. 52 indexed citations
20.
Zhou, Guoping, Kathleen P. Anderson, Clinton H. Joiner, & Patrick G. Gallagher. (2001). Modification of Erythrocyte Hydration in the Treatment of Sickle Cell Disease. Blood Cells Molecules and Diseases. 27(1). 65–68. 3 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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