Junlian Gu

2.5k citations
58 papers · 2.0k · h-index 26

Impact in

Papers in

    • Fibroblast Growth Factor Research 9
    • Genomics, phytochemicals, and oxidative stress 7
    • Kruppel-like factors research 6
    • Epigenetics and DNA Methylation 6
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4

Junlian Gu

55 papers receiving 2.0k citations

Peers

Junlian Gu
Comparison fields: 5 of 102
  • Geriatrics and Gerontology 102
  • Cardiology and Cardiovascular Medicine 392
  • Cancer Research 228
  • Molecular Biology 1.1k
  • Physiology 69
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Citations per field
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Citations per year

Countries citing papers authored by Junlian Gu

Since Specialization
Citations

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

Fields of papers citing papers by Junlian Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junlian Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junlian Gu Line = papers co-authored together Junlian Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014175
2 2016172
3 2016143
4 2017121
5 2015105
6 201891
7 201689
8 202285
9 202175
10 201773
11 202065
12 202353
13
Curcumin derivative WZ35 efficiently suppresses colon cancer progression through inducing ROS production and ER stress-dependent apoptosis.
201750
14 201747
15 201647
16 201846
17 201739
18 201733
19 201633
20 202032

About Junlian Gu

Junlian Gu is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Kruppel-like factors research (6 papers), Epigenetics and DNA Methylation (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Geriatrics and Gerontology (102 citations), Cardiology and Cardiovascular Medicine (392 citations), Cancer Research (228 citations), Molecular Biology (1.1k citations) and Physiology (69 citations). Junlian Gu has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Lu Cai, Shudong Wang, Yi Tan, Yufeng Tang, Yonggang Wang, Yuanfang Guo, Zhiguo Zhang, Mengjie Xiao, Shanshan Zhou and Guangping Lu. Their work appears in journals such as Nutrients, Frontiers in Pharmacology, Frontiers in Endocrinology, Journal of Advanced Research and Acta Pharmaceutica Sinica B.

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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