Fei Hou

703 citations
11 papers · 493 · h-index 7

Impact in

    • Mesenchymal stem cell research
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation

Papers in

    • Immune cells in cancer 4
    • Inflammation biomarkers and pathways 2
    • Phagocytosis and Immune Regulation 2
    • Immune Response and Inflammation 2

Fei Hou

10 papers receiving 489 citations

Peers

Fei Hou
Comparison fields: 5 of 81
  • Genetics 68
  • Immunology 137
  • Pulmonary and Respiratory Medicine 129
  • Cancer Research 45
  • Molecular Biology 172
Replace Haijin Lv with:
Haijin Lv China
Xuejun Guo China
Xiaomeng Yi China
Jazalle McClendon United States
Paula Montero Spain
Sumith R. Panicker United States
Elisabeth Simader Austria
Pía Boza Chile
Kazuo Okadome Japan
Fei Hou relative to Haijin Lv China Haijin Lv's profile →
Citations per field
00.5×3.3×
Haijin Lv · 1×
Citations per year

Countries citing papers authored by Fei Hou

Since Specialization
Citations

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

Fields of papers citing papers by Fei Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020188
2 2021151
3 202070
4
ALK1 signaling is required for the homeostasis of Kupffer cells and prevention of bacterial infection
202239
5 202314
6 20249
7 20258
8 20215
9 20235
10 20244
11 20250

About Fei Hou

Fei Hou is a scholar working on Immunology, Surgery, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 493 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Mesenchymal stem cell research (3 papers), Neonatal Respiratory Health Research (3 papers), Inflammation biomarkers and pathways (2 papers), MicroRNA in disease regulation (2 papers), Phagocytosis and Immune Regulation (2 papers), Immune Response and Inflammation (2 papers) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Genetics (68 citations), Immunology (137 citations), Pulmonary and Respiratory Medicine (129 citations), Cancer Research (45 citations) and Molecular Biology (172 citations). Fei Hou has collaborated with scholars based in China and Philippines. Frequent co-authors include Kun Xiao, Lixin Xie, Li Tang, Wei Guan, Peng Yan, Ting Zhou, Wanxue He, Yuhong Liu, Jianqiao Xu and Binbin Li. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, International Immunopharmacology, Cellular & Molecular Biology Letters, Frontiers in Immunology and Stem Cell Research & Therapy.

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.

Explore authors with similar magnitude of impact