Junyi Hou

793 citations
30 papers · 558 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis

Papers in

    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2
    • Peptidase Inhibition and Analysis 2

Junyi Hou

29 papers receiving 551 citations

Peers

Junyi Hou
Comparison fields: 5 of 75
  • Cancer Research 149
  • Oncology 126
  • Pulmonary and Respiratory Medicine 115
  • Immunology 71
  • Molecular Biology 234
Replace Fangzhu Wan with:
Fangzhu Wan China
Zhongyin Yang China
Chengyun Yao China
Jeffery N. Myers United States
Shao‐Lan Qin China
He-Li Gao China
Yongsu Ma China
Yingjie Li China
Chun‐Hua Wang China
Junyi Hou relative to Fangzhu Wan China Fangzhu Wan's profile →
Citations per field
00.5×2×3×3.6×
Fangzhu Wan · 1×
Citations per year

Countries citing papers authored by Junyi Hou

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202392
2 202186
3 202259
4 202134
5 201634
6 201927
7 202125
8 201923
9 202123
10 202320
11 202219
12 202117
13 201614
14 202313
15 202210
16 20239
17 20248
18 20247
19 20247
20 20255

About Junyi Hou

Junyi Hou is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 558 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers), Immune cells in cancer (2 papers), Peptidase Inhibition and Analysis (2 papers), Chromatin Remodeling and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (126 citations), Pulmonary and Respiratory Medicine (115 citations), Immunology (71 citations) and Molecular Biology (234 citations). Junyi Hou has collaborated with scholars based in China, France and Italy. Frequent co-authors include bingya Liu, Liping Su, Xiongyan Wu, Zhenggang Zhu, Zhenjia Yu, Beiqin Yu, Chao Yan, Zhijian Jin, Jianfang Li and Min Yan. Their work appears in journals such as EBioMedicine, Frontiers in Oncology, Advanced Science, Redox Biology and The FASEB Journal.

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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