Le Hai

590 total citations
12 papers, 181 citations indexed

About

Le Hai is a scholar working on Food Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Le Hai has authored 12 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Food Science, 5 papers in Molecular Biology and 3 papers in Agronomy and Crop Science. Recurrent topics in Le Hai's work include Animal Diversity and Health Studies (11 papers), Gut microbiota and health (4 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Le Hai is often cited by papers focused on Animal Diversity and Health Studies (11 papers), Gut microbiota and health (4 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Le Hai collaborates with scholars based in China, Sweden and Singapore. Le Hai's co-authors include Li Yi, Jing He, Rimutu Ji, Liang Ming, Yuchen Xiao, Zhihao Han, Ruixue Wang, Zhaoxia Wang, Jirimutu and Surong Hasi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Le Hai

12 papers receiving 178 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Le Hai China	7	110	86	39	23	17	12	181
Li Yi China	10	139 1.3×	165 1.9×	46 1.2×	61 2.7×	20 1.2×	21	296
Yangbin Xu China	5	86 0.8×	28 0.3×	50 1.3×	23 1.0×	16 0.9×	6	158
Jiakuo Yan China	8	170 1.5×	32 0.4×	17 0.4×	24 1.0×	38 2.2×	12	244
Zhisheng Wang China	11	91 0.8×	22 0.3×	128 3.3×	56 2.4×	11 0.6×	21	276
Touhami Khorchani Tunisia	12	158 1.4×	236 2.7×	40 1.0×	80 3.5×	6 0.4×	28	378
Laura Cersosimo United States	9	112 1.0×	49 0.6×	195 5.0×	65 2.8×	22 1.3×	18	307
Shirchin Demberel Mongolia	6	229 2.1×	276 3.2×	28 0.7×	52 2.3×	9 0.5×	11	356
Jeffrey P. Tingley Canada	9	91 0.8×	42 0.5×	14 0.4×	12 0.5×	11 0.6×	12	188
Yufeng Du China	6	100 0.9×	39 0.5×	81 2.1×	25 1.1×	36 2.1×	11	235

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-authorship network of co-authors of Le Hai

This figure shows the co-authorship network connecting the top 25 collaborators of Le Hai. A scholar is included among the top collaborators of Le Hai 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 Le Hai. Le Hai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Sádlová, Jovana, Matthew Yeo, Jody Phelan, et al.. (2024). Comparative genomics of Leishmania donovani progeny from genetic crosses in two sand fly species and impact on the diversity of diagnostic and vaccine candidates. PLoS neglected tropical diseases. 18(1). e0011920–e0011920. 2 indexed citations

Hai, Le, et al.. (2021). Reversible insulin resistance helps Bactrian camels survive fasting. Scientific Reports. 11(1). 18815–18815. 1 indexed citations

Ming, Liang, et al.. (2020). Mitochondrial DNA variation and phylogeography of Old World camels. Animal Bioscience. 34(4). 525–532. 3 indexed citations

Yi, Li, et al.. (2020). Camel milk modulates ethanol-induced changes in the gut microbiome and transcriptome in a mouse model of acute alcoholic liver disease. Journal of Dairy Science. 103(5). 3937–3949. 28 indexed citations

Wang, Ruixue, Zhihao Han, Rimutu Ji, et al.. (2020). Antibacterial Activity of Trypsin-Hydrolyzed Camel and Cow Whey and Their Fractions. Animals. 10(2). 337–337. 36 indexed citations

He, Jing, et al.. (2019). High-Throughput Sequencing Reveals the Gut Microbiome of the Bactrian Camel in Different Ages. Current Microbiology. 76(7). 810–817. 17 indexed citations

He, Jing, Liyun Yuan, Le Hai, et al.. (2019). Comprehensive transcriptome analysis of adipose tissue in the Bactrian camel reveals fore hump has more specific physiological functions in immune and endocrine systems. Livestock Science. 228. 195–200. 9 indexed citations

Ming, Liang, Yi Li, Jing He, Le Hai, & Rimutu Ji. (2019). Identification of microsatellites and parentage testing development of bactrian camel (Camelus bactrianus). Journal of Camel Practice and Research. 26(2). 133–133. 1 indexed citations

He, Jing, Guowei Li, Le Hai, et al.. (2019). An analysis of the forestomach bacterial microbiota in the bactrian camel. Journal of Camel Practice and Research. 26(1). 71–71. 1 indexed citations

10.

He, Jing, et al.. (2018). Characterizing the bacterial microbiota in different gastrointestinal tract segments of the Bactrian camel. Scientific Reports. 8(1). 654–654. 56 indexed citations

11.

Yi, Li, et al.. (2017). Molecular diversity and phylogenetic analysis of domestic and wild Bactrian camel populations based on the mitochondrial ATP8 and ATP6 genes. Livestock Science. 199. 95–100. 9 indexed citations

12.

Ming, Liang, Li Yi, Surong Hasi, et al.. (2017). Comparative analysis of fecal microbial communities in cattle and Bactrian camels. PLoS ONE. 12(3). e0173062–e0173062. 18 indexed citations

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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