Lin Hou

1.6k citations
47 papers · 689 · h-index 15

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 9
    • Genomics and Chromatin Dynamics 5
    • Gene expression and cancer classification 5
    • RNA Research and Splicing 4
    • Genetic Associations and Epidemiology 18
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic and phenotypic traits in livestock 5
    • Genomic variations and chromosomal abnormalities 4

Lin Hou

45 papers receiving 679 citations

Peers

Lin Hou
Comparison fields: 5 of 123
  • Genetics 196
  • Cancer Research 104
  • Molecular Biology 336
  • Biomaterials 48
  • Transplantation 8
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Lin Hou relative to Caleb J. Kennedy United States Caleb J. Kennedy's profile →
Citations per field
00.5×
Caleb J. Kennedy · 1×
Citations per year

Countries citing papers authored by Lin Hou

Since Specialization
Citations

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

Fields of papers citing papers by Lin Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201370
2 202258
3 201154
4 201550
5 201538
6 202029
7 202328
8 202128
9 201926
10 202124
11 202023
12 201223
13 202021
14 202121
15 202020
16 202213
17 201513
18 202013
19 202012
20 201412

About Lin Hou

Lin Hou is a scholar working on Molecular Biology, Genetics, Control and Systems Engineering, Pulmonary and Respiratory Medicine and Building and Construction, having authored 47 papers that have together received 689 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), RNA modifications and cancer (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (5 papers), Genomics and Chromatin Dynamics (5 papers), Gene expression and cancer classification (5 papers), RNA Research and Splicing (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Genetics (196 citations), Cancer Research (104 citations), Molecular Biology (336 citations), Biomaterials (48 citations) and Transplantation (8 citations). Lin Hou has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Hongyu Zhao, Shuang Song, Jing Yao, Wei Jiang, Jianping Zhou, Zuoheng Wang, Qiongshi Lu, Hanmin Guo, Ying Fan and Rui Jiang. Their work appears in journals such as Nature Communications, Bioinformatics, Cancers, Genetic Epidemiology and International Journal of Environmental Research and Public Health.

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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