Wei Hou

1.6k citations
42 papers · 1.0k · h-index 18

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • MicroRNA in disease regulation

Papers in

Wei Hou

39 papers receiving 991 citations

Peers

Wei Hou
Comparison fields: 5 of 112
  • Hepatology 302
  • Cancer Research 156
  • Epidemiology 264
  • Metals and Alloys 16
  • Cell Biology 85
Replace Hongyuan Zhou with:
Hongyuan Zhou China
Volker Dries Germany
Noriyuki Murai Japan
Vikas Saxena United States
Ryan Z. Swan United States
Yuliang Liu China
Lianfu Wang China
Xiao Xu China
Guangfeng Shi China
Carole Fournier France
Wei Hou relative to Hongyuan Zhou China Hongyuan Zhou's profile →
Citations per field
00.5×
Hongyuan Zhou · 1×
Citations per year

Countries citing papers authored by Wei Hou

Since Specialization
Citations

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

Fields of papers citing papers by Wei Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017132
2 202091
3 200987
4 201882
5 201463
6 200848
7 201648
8 201245
9 202036
10 201236
11 202031
12 202025
13 202024
14 202223
15 201622
16 201521
17 201519
18 201917
19 201816
20 201715

About Wei Hou

Wei Hou is a scholar working on Hepatology, Molecular Biology, Epidemiology, Cancer Research and Mechanical Engineering, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (6 papers), MicroRNA in disease regulation (5 papers), Hepatitis C virus research (5 papers), Liver physiology and pathology (4 papers), Hepatitis B Virus Studies (4 papers), HIV Research and Treatment (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Hepatology (302 citations), Cancer Research (156 citations), Epidemiology (264 citations), Metals and Alloys (16 citations) and Cell Biology (85 citations). Wei Hou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Arun J. Sanyal, Wing‐Kin Syn, Jianfeng Gu, Qingdong Liu, Karen Kodys, Gyöngyi Szabó, Terence N. Bukong, Yanan Du, Xiaojun Yan and Longwei Liu. Their work appears in journals such as Scientific Reports, Hepatology, Materials Science and Engineering A, Journal of Cellular Biochemistry and Frontiers in Cell and Developmental Biology.

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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