Le Hai

599 citations
12 papers · 437 · 1 hit paper · h-index 8

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 3
    • Genetic diversity and population structure 4
    • Genetic and phenotypic traits in livestock 4
    • Forensic and Genetic Research 1

Le Hai

12 papers receiving 433 citations

Le Hai's Hit Papers

Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels 2020 · 232 citations
2320+2+4Years since publication50100150200

Peers

Le Hai
Comparison fields: 5 of 85
  • Agronomy and Crop Science 48
  • Food Science 56
  • Molecular Biology 167
  • Genetics 57
  • Microbiology 10
Replace Li Yi with:
Li Yi China
Jirimutu China
Gangliang Chen China
Marion Mathieson Simmons United Kingdom
Dongyi Bai China
Atsushi Tajima Japan
M. Paulina Dani United Kingdom
Miyuki Nakamura Japan
Florence Mompart France
Nicolas Krezdorn Germany
Le Hai relative to Li Yi China Li Yi's profile →
Citations per field
00.5×1.5×
Li Yi · 1×
Citations per year

Countries citing papers authored by Le Hai

Since Specialization
Citations

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

Fields of papers citing papers by Le Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Le Hai, 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 Le Hai Line = papers co-authored together Le Hai links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels
Hit paper breakdown →
2020232
2 201862
3 202045
4 202033
5 201719
6 201919
7 201711
8 201910
9 20203
10 20191
11 20191
12 20211

About Le Hai

Le Hai is a scholar working on Agronomy and Crop Science, Genetics, Food Science, Molecular Biology and Physiology, having authored 12 papers that have together received 437 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Gut microbiota and health (4 papers), Genetic and phenotypic traits in livestock (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Animal Diversity and Health Studies (3 papers), Adipose Tissue and Metabolism (1 paper), Forensic and Genetic Research (1 paper) and Protein Hydrolysis and Bioactive Peptides (1 paper). The work is most often cited by research in Agronomy and Crop Science (48 citations), Food Science (56 citations), Molecular Biology (167 citations), Genetics (57 citations) and Microbiology (10 citations). Le Hai has collaborated with scholars based in China and Mongolia. Frequent co-authors include Li Yi, Jing He, Rimutu Ji, Liang Ming, Zhihao Han, Yuchen Xiao, Ruixue Wang, Surong Hasi, Zhaoxia Wang and Jirimutu. Their work appears in journals such as Livestock Science, Scientific Reports, Communications Biology, Animal Bioscience and PLoS ONE.

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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