Guo Zu

1.2k citations
36 papers · 991 · h-index 17

Impact in

Papers in

    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2
    • Circular RNAs in diseases 2
    • FOXO transcription factor regulation 2

Guo Zu

36 papers receiving 982 citations

Peers

Guo Zu
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 50
  • Cancer Research 182
  • Pharmacology 63
  • Molecular Biology 450
  • Neurology 51
Replace Guangzhi Wang with:
Guangzhi Wang China
Giou-Teng Yiang Taiwan
Chia-Ying Li Taiwan
Nanlin Li China
Shaoxiang Xian China
Mingjing Zhao China
Yinju Hao China
Lele Ji China
Lina Zhao China
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Guo Zu relative to Guangzhi Wang China Guangzhi Wang's profile →
Citations per field
00.5×2×2.7×
Guangzhi Wang · 1×
Citations per year

Countries citing papers authored by Guo Zu

Since Specialization
Citations

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

Fields of papers citing papers by Guo Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guo Zu, 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 Guo Zu Line = papers co-authored together Guo Zu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 2015111
3 2016104
4 201880
5 201664
6 201860
7 201754
8 201843
9 201540
10 201638
11 202030
12 201626
13 201822
14 201621
15 202118
16 201918
17 201918
18 202214
19 202113
20 202413

About Guo Zu

Guo Zu is a scholar working on Cancer Research, Molecular Biology, Cellular and Molecular Neuroscience, Critical Care and Intensive Care Medicine and Epidemiology, having authored 36 papers that have together received 991 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (4 papers), Autophagy in Disease and Therapy (4 papers), MicroRNA in disease regulation (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Gastric Cancer Management and Outcomes (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (50 citations), Cancer Research (182 citations), Pharmacology (63 citations), Molecular Biology (450 citations) and Neurology (51 citations). Guo Zu has collaborated with scholars based in China and United States. Frequent co-authors include Tingting Zhou, Jihong Yao, Ningwei Che, Dongcheng Feng, Zhenlu Li, Xiaofeng Tian, Xiangwen Zhang, Guangzhi Wang, Zhanhua Liang and Shao Li. Their work appears in journals such as International Journal of Surgery, Clinical & Translational Oncology, Scientific Reports, Cell Death and Disease and Shock.

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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