Xinhua Hou

985 total citations
41 papers, 665 citations indexed

About

Xinhua Hou is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xinhua Hou has authored 41 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Xinhua Hou's work include Cancer-related molecular mechanisms research (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Xinhua Hou is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Xinhua Hou collaborates with scholars based in China, India and United States. Xinhua Hou's co-authors include Ligang Wang, Kui Li, Zhonglin Tang, Hua Yan, Fuping Zhao, Longchao Zhang, Lixian Wang, Yalan Yang, Longchao Zhang and Hongmei Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xinhua Hou

41 papers receiving 660 citations

Peers

Xinhua Hou
Comparison fields: 5 of 70
  • Molecular Biology 378
  • Cancer Research 272
  • Genetics 214
  • Animal Science and Zoology 177
  • Physiology 94
Replace Dawei Wei with:
Dawei Wei China
Haiming Ma China
Huarui Du China
Liming Hou China
Longchao Zhang China
Zhe Chao China
Caifang Ren China
Silvia Braglia Italy
Junda Shen China
Marcela Maria de Souza Brazil
Dawei Wei China View profile →
Citations per field, relative to Xinhua Hou
Xinhua Hou · 1×
Citations per year, relative to Xinhua Hou
Xinhua Hou · 1×

Countries citing papers authored by Xinhua Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Hou. A scholar is included among the top collaborators of Xinhua Hou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinhua Hou. Xinhua Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 8
4 12
5 4
6 26
7 6
8 7
9 62
10 5
11 2
12 7
13 1
14 5
15 8
16 6
17 62
18 27
19 67
20
Lower Respiratory Tract Infection:A Case-control Study about Direct Economic Losses
1

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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