Xinjian Lei

1.1k total citations · 1 hit paper
36 papers, 854 citations indexed

About

Xinjian Lei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Agronomy and Crop Science. According to data from OpenAlex, Xinjian Lei has authored 36 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 12 papers in Agronomy and Crop Science. Recurrent topics in Xinjian Lei's work include Semiconductor materials and devices (15 papers), Ruminant Nutrition and Digestive Physiology (12 papers) and Copper Interconnects and Reliability (6 papers). Xinjian Lei is often cited by papers focused on Semiconductor materials and devices (15 papers), Ruminant Nutrition and Digestive Physiology (12 papers) and Copper Interconnects and Reliability (6 papers). Xinjian Lei collaborates with scholars based in China, United States and Singapore. Xinjian Lei's co-authors include Manchao Xiao, Xiangshu Piao, Hansong Cheng, Huifang Zhang, Yingjun Ru, Hongyu Zhang, Bo Han, Yangchun Cao, Chenggang Zhou and Junhu Yao and has published in prestigious journals such as Angewandte Chemie International Edition, Chemistry of Materials and Langmuir.

In The Last Decade

Xinjian Lei

34 papers receiving 837 citations

Hit Papers

Multi-omics revealed the long-term effect of ruminal keys... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinjian Lei China 18 444 322 177 123 111 36 854
A. Mereu Romania 16 215 0.5× 314 1.0× 54 0.3× 109 0.9× 27 0.2× 30 566
Yifan Liang China 17 76 0.2× 251 0.8× 29 0.2× 53 0.4× 206 1.9× 58 708
S. Ikram Pakistan 23 384 0.9× 488 1.5× 9 0.1× 63 0.5× 182 1.6× 52 1.1k
Xinning Huang China 16 501 1.1× 327 1.0× 24 0.1× 34 0.3× 72 0.6× 44 874
Jingming Zhou China 16 128 0.3× 84 0.3× 126 0.7× 86 0.7× 533 4.8× 80 842
Fengchun Huang China 19 99 0.2× 220 0.7× 20 0.1× 33 0.3× 711 6.4× 37 1.1k
Niamh Gilmartin Ireland 12 142 0.3× 58 0.2× 344 1.9× 50 0.4× 430 3.9× 15 975
Verónica C. Martins Portugal 12 154 0.3× 70 0.2× 54 0.3× 12 0.1× 260 2.3× 22 616
Ashraf M. M. Abdelbacki Saudi Arabia 19 235 0.5× 216 0.7× 60 0.3× 5 0.0× 71 0.6× 65 950

Countries citing papers authored by Xinjian Lei

Since Specialization
Citations

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

Fields of papers citing papers by Xinjian Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjian Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Xinjian Lei. A scholar is included among the top collaborators of Xinjian Lei 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 Xinjian Lei. Xinjian Lei 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
1.
Su, Xiaodong, Lei Zhang, Yan‐Bo Wu, et al.. (2025). Net energy of grains for dairy goats differed with processing methods and grain types. Journal of Animal Science and Biotechnology. 16(1). 3–3.
2.
Wu, Shengru, Jun Zhang, Xinjian Lei, et al.. (2024). Multi-omics reveal mechanisms of high enteral starch diet mediated colonic dysbiosis via microbiome-host interactions in young ruminant. Microbiome. 12(1). 38–38. 17 indexed citations
3.
Chen, Lei, Chao Xia, Xinjian Lei, et al.. (2023). Farnesoid X Receptor (FXR) Regulates mTORC1 Signaling and Autophagy by Inhibiting SESN2 Expression. Molecular Nutrition & Food Research. 67(6). e2200517–e2200517. 2 indexed citations
4.
Wang, Guoyan, Xinjian Lei, Lei Chen, et al.. (2023). Promotion of intestinal epithelial cell apoptosis by enterotoxigenic Escherichia coli via PKA-mediated inhibition of mTORC1 activation. Microbes and Infection. 25(5). 105099–105099. 2 indexed citations
6.
Wang, Dangdang, Luyu Chen, Junjian Yu, et al.. (2023). Multi-omics revealed the long-term effect of ruminal keystone bacteria and the microbial metabolome on lactation performance in adult dairy goats. Microbiome. 11(1). 215–215. 60 indexed citations breakdown →
7.
Su, Xiaodong, Xinjian Lei, Gaofeng Liang, et al.. (2023). Effects of rumen degradable starch on growth performance, carcass, rumen fermentation, and ruminal VFA absorption in growing goats. Animal Feed Science and Technology. 299. 115618–115618. 7 indexed citations
8.
Wang, Dangdang, Junjian Yu, Yuanyuan Li, et al.. (2023). Litter size influences rumen microbiota and fermentation efficiency, thus determining host early growth in goats. Frontiers in Microbiology. 14. 1098813–1098813. 5 indexed citations
9.
Wang, Guoyan, Lei Chen, Xinjian Lei, et al.. (2023). Role of FLCN Phosphorylation in Insulin‐Mediated mTORC1 Activation and Tumorigenesis. Advanced Science. 10(17). e2206826–e2206826. 7 indexed citations
10.
Cao, Yangchun, Dangdang Wang, Lamei Wang, et al.. (2021). Physically effective neutral detergent fiber improves chewing activity, rumen fermentation, plasma metabolites, and milk production in lactating dairy cows fed a high-concentrate diet. Journal of Dairy Science. 104(5). 5631–5642. 28 indexed citations
11.
12.
Shen, Jing, Xiaoying Han, Shimin Liu, et al.. (2020). High Rumen-Degradable Starch Diet Promotes Hepatic Lipolysis and Disrupts Enterohepatic Circulation of Bile Acids in Dairy Goats. Journal of Nutrition. 150(10). 2755–2763. 19 indexed citations
13.
Lee, Kyoungjun, Hyun‐Jae Lee, Myeong Seop Song, et al.. (2019). Stable Subloop Behavior in Ferroelectric Si-Doped HfO2. ACS Applied Materials & Interfaces. 11(42). 38929–38936. 67 indexed citations
15.
Huang, Liang, Bo Han, Bo Han, et al.. (2014). Density functional theory study on the full ALD process of silicon nitride thin film deposition via BDEAS or BTBAS and NH3. Physical Chemistry Chemical Physics. 16(34). 18501–18501. 31 indexed citations
16.
Li, Qingyun, Xiangshu Piao, Jundi Liu, et al.. (2014). Determination and prediction of the energy content and amino acid digestibility of peanut meals fed to growing pigs. Archives of Animal Nutrition. 68(3). 196–210. 21 indexed citations
17.
Mallikarjunan, Anupama, Manchao Xiao, Xinjian Lei, et al.. (2014). Designing high performance precursors for atomic layer deposition of silicon oxide. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 33(1). 22 indexed citations
18.
Han, Bo, Jinping Wu, Chenggang Zhou, et al.. (2009). First‐Principles Simulations of Conditions of Enhanced Adhesion Between Copper and TaN(111) Surfaces Using a Variety of Metallic Glue Materials. Angewandte Chemie International Edition. 49(1). 148–152. 21 indexed citations
19.
Li, Jiaye, Jinping Wu, Chenggang Zhou, et al.. (2008). On the relative stability of cobalt‐ and nickel‐based amidinate complexes against β‐migration. International Journal of Quantum Chemistry. 109(4). 756–763. 11 indexed citations
20.
Norman, John A. T., et al.. (2007). New Precursors for Copper ALD. ECS Transactions. 3(15). 161–170. 7 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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