Hao Zuo

2.7k citations
50 papers · 1.8k indexed · h-index 22

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Hao Zuo

48 papers receiving 1.8k citations

Peers

Hao Zuo
Comparison fields: 5 of 112
  • Developmental Neuroscience 120
  • Cancer Research 408
  • Horticulture 16
  • Molecular Biology 1.1k
  • Immunology 266
Replace Ok‐Sun Bang with:
Ok‐Sun Bang South Korea
Ge Bai China
Bryan Harder United States
Lucian Soane United States
Otoya Ueda Japan
Jae‐Bong Park South Korea
Sung Hee Um South Korea
Jaebong Kim South Korea
Lisha Zhang China
Eui‐Ju Yeo South Korea
Hao Zuo relative to Ok‐Sun Bang South Korea Ok‐Sun Bang's profile →
Citations per field
00.5×8.9×
Ok‐Sun Bang · 1×
Citations per year

Countries citing papers authored by Hao Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Hao Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 202410
5 20244
6 202415
7 20232
8 20237
9 202343
10 20225
11 202235
12 202227
13 202130
14 202032
15 2020116
16 202069
17 201960
18 201842
19 201716
20 20152

About Hao Zuo

Hao Zuo is a scholar working on Horticulture, Cancer Research, Developmental Neuroscience, Molecular Biology and Biological Psychiatry, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA Research and Splicing (6 papers), Plant Gene Expression Analysis (5 papers), Cancer-related molecular mechanisms research (5 papers), Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), Plant Virus Research Studies (3 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Developmental Neuroscience (120 citations), Cancer Research (408 citations), Horticulture (16 citations), Molecular Biology (1.1k citations) and Immunology (266 citations). Hao Zuo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yihong Wan, Daniel J. Siegwart, Matthew J. Kolar, Qian Chu, Alan Saghatelian, Peiwen Chen, Akiko Nishiyama, Qiang Xu, Muhammad Junaid Rao and Jian Zhao. Their work appears in journals such as Horticulture Research, Cells, Plant Biotechnology Journal, Proceedings of the National Academy of Sciences and Journal of Cachexia Sarcopenia and Muscle.

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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