Hai Xiang

1.9k citations
78 papers · 1.4k · h-index 21

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 17
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic diversity and population structure 5
    • Mitochondrial Function and Pathology 7

Hai Xiang

68 papers receiving 1.3k citations

Peers

Hai Xiang
Comparison fields: 5 of 130
  • Animal Science and Zoology 355
  • Water Science and Technology 271
  • Small Animals 70
  • Agronomy and Crop Science 89
  • Genetics 242
Replace Andrew T. Lloyd with:
Andrew T. Lloyd Ireland
Yves Y. Nys France
Li Sun China
Meng-Hua Li China
Heidi M. Waldrip United States
Hiroyuki Hirooka Japan
Zhonghua Wang China
E. Angulo Spain
Michael O’Sullivan Ireland
Hai Xiang relative to Andrew T. Lloyd Ireland Andrew T. Lloyd's profile →
Citations per field
00.5×6.9×
Andrew T. Lloyd · 1×
Citations per year

Countries citing papers authored by Hai Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014119
2 2013114
3 202191
4 202070
5 201466
6 202062
7 201358
8 201455
9 202144
10 201944
11 200544
12 202035
13 201733
14 200933
15 201931
16 201930
17 201827
18 202121
19 201321
20 201521

About Hai Xiang

Hai Xiang is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Small Animals and Water Science and Technology, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), Animal Nutrition and Physiology (16 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Meat and Animal Product Quality (7 papers), Mitochondrial Function and Pathology (7 papers), Animal Behavior and Welfare Studies (7 papers), Membrane Separation Technologies (6 papers) and Genetic diversity and population structure (5 papers). The work is most often cited by research in Animal Science and Zoology (355 citations), Water Science and Technology (271 citations), Small Animals (70 citations), Agronomy and Crop Science (89 citations) and Genetics (242 citations). Hai Xiang has collaborated with scholars based in China, Portugal and United States. Frequent co-authors include Xingbo Zhao, Xiuzhen Wei, Jinyuan Chen, Songxue Wang, Yi Fang, Rongzhen Zhong, Yingying Shi, Jikun Wang, Hui Zhou and Dawei Cai. Their work appears in journals such as Animals, Journal of Animal Science and Biotechnology, BMC Genomics, Poultry Science and Scientific Reports.

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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