Lianmin Chen

4.5k total citations · 4 hit papers
57 papers, 1.9k citations indexed

About

Lianmin Chen is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Lianmin Chen has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Agronomy and Crop Science. Recurrent topics in Lianmin Chen's work include Gut microbiota and health (11 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Lianmin Chen is often cited by papers focused on Gut microbiota and health (11 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Lianmin Chen collaborates with scholars based in China, Netherlands and United States. Lianmin Chen's co-authors include Jingyuan Fu, Alexandra Zhernakova, Alan D. Frankel, Alexander Kurilshikov, Cisca Wijmenga, Joseph D. Puglisi, James R. Williamson, Mingyu Guo, Daoming Wang and Rinse K. Weersma and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Lianmin Chen

51 papers receiving 1.9k citations

Hit Papers

The long-term genetic stability and individual specificit... 2021 2026 2022 2024 2021 2021 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianmin Chen China 22 1.2k 320 205 200 160 57 1.9k
Yaping Wang China 31 1.3k 1.0× 180 0.6× 83 0.4× 230 1.1× 367 2.3× 119 2.8k
Xuan-Yu Chen China 12 1.3k 1.0× 403 1.3× 50 0.2× 120 0.6× 283 1.8× 30 2.2k
Zia Ur Rehman Pakistan 26 861 0.7× 87 0.3× 178 0.9× 337 1.7× 145 0.9× 204 2.7k
Laxmi Yeruva United States 23 710 0.6× 173 0.5× 86 0.4× 104 0.5× 184 1.1× 70 1.7k
Tao Ding China 21 965 0.8× 205 0.6× 38 0.2× 183 0.9× 262 1.6× 68 2.0k
Jianxiong Xu China 25 771 0.6× 223 0.7× 148 0.7× 51 0.3× 290 1.8× 105 2.4k
Allen Smith United States 26 806 0.7× 146 0.5× 52 0.3× 132 0.7× 244 1.5× 87 1.9k
Yuichi Koga Japan 31 2.3k 1.9× 377 1.2× 47 0.2× 439 2.2× 186 1.2× 134 4.0k
Mojtaba Sankian Iran 28 936 0.8× 335 1.0× 35 0.2× 91 0.5× 240 1.5× 199 2.7k

Countries citing papers authored by Lianmin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lianmin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianmin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lianmin Chen. A scholar is included among the top collaborators of Lianmin Chen 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 Lianmin Chen. Lianmin Chen 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.
Slager, Jelle, Ranko Gaćeša, Lianmin Chen, et al.. (2025). High-resolution analysis of the treated coeliac disease microbiome reveals strain-level variation. Gut Microbes. 17(1). 2489071–2489071. 1 indexed citations
2.
Chen, Fu‐Rong, Kang Liu, Feng Xu, et al.. (2025). The KLF4/Galectin-3 cascade is a key determinant of tubular cell death and acute kidney injury. International Journal of Biological Sciences. 21(13). 5802–5820. 1 indexed citations
4.
Qi, Cancan, An Li, Yu Wang, et al.. (2024). An atlas of the shared genetic architecture between atopic and gastrointestinal diseases. Communications Biology. 7(1). 1696–1696. 1 indexed citations
5.
Shen, Yizhao, Tingting Wu, Quanbin Dong, et al.. (2024). Early microbial intervention reshapes phenotypes of newborn Bos taurus through metabolic regulations. GigaScience. 13. 4 indexed citations
6.
7.
Shi, Jing, Chuanxi Yang, Jing Zhang, et al.. (2023). NAT10 Is Involved in Cardiac Remodeling Through ac4C-Mediated Transcriptomic Regulation. Circulation Research. 133(12). 989–1002. 45 indexed citations
8.
Zeventer, Isabelle A. van, Lianmin Chen, Hilde E. Groot, et al.. (2022). Large HDL particles negatively associate with leukocyte counts independent of cholesterol efflux capacity: A cross sectional study in the population-based LifeLines DEEP cohort. Atherosclerosis. 343. 20–27. 3 indexed citations
9.
Chen, Lianmin, Daria V. Zhernakova, Alexander Kurilshikov, et al.. (2022). Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome. Nature Medicine. 28(11). 2333–2343. 173 indexed citations breakdown →
10.
Sun, Wei, Yifeng Wang, Haifeng Zhang, et al.. (2022). eHypertension: A prospective longitudinal multi‐omics essential hypertension cohort. iMeta. 1(2). 6 indexed citations
11.
Li, An, Lianmin Chen, Renske Z. Thomas, et al.. (2021). Periodontal breakdown inter-tooth relationships in estimating periodontitis-related tooth loss. Journal of Dentistry. 112. 103755–103755. 5 indexed citations
12.
Ding, Luoyang, Shane K. Maloney, Mengzhi Wang, et al.. (2020). Association between temperament related traits and single nucleotide polymorphisms in the serotonin and oxytocin systems in Merino sheep. Genes Brain & Behavior. 20(3). e12714–e12714. 12 indexed citations
14.
Ding, Luoyang, Yizhao Shen, Yifan Wang, et al.. (2019). Jugular arginine supplementation increases lactation performance and nitrogen utilization efficiency in lactating dairy cows. Journal of Animal Science and Biotechnology. 10(1). 3–3. 24 indexed citations
15.
Ding, Luoyang, Lianmin Chen, Jinyu Zhang, et al.. (2018). Inhibition of arginase via jugular infusion of Nω-hydroxy-nor-l-arginine inhibits casein synthesis in lactating dairy cows. Journal of Dairy Science. 101(4). 3514–3523. 14 indexed citations
16.
Shen, Yizhao, Luoyang Ding, Lianmin Chen, et al.. (2018). Feeding corn grain steeped in citric acid modulates rumen fermentation and inflammatory responses in dairy goats. animal. 13(2). 301–308. 22 indexed citations
17.
Chen, Lianmin, Shimin Liu, Hongrong Wang, Mengzhi Wang, & Lihuai Yu. (2016). Relative significances of pH and substrate starch level to roles of Streptococcus bovis S1 in rumen acidosis. AMB Express. 6(1). 80–80. 17 indexed citations
18.
He, Zhongyuan, Lianmin Chen, Quan Zhu, & Hai Xu. (2012). A video-assisted thoracic surgical lobectomy for a lung tumour with a rare anomalous pulmonary artery. Interactive Cardiovascular and Thoracic Surgery. 15(4). 786–787. 1 indexed citations
19.
Chen, Lianmin, et al.. (1998). Underregistration of neonatal deaths: an empirical study of the accuracy of infantile vital statistics in Taiwan.. Journal of Epidemiology & Community Health. 52(5). 289–292. 25 indexed citations
20.
Li, Cai, et al.. (1998). Intercalated cytosine motif and novel adenine clusters in the crystal structure of the Tetrahymena telomere. Nucleic Acids Research. 26(20). 4696–4705. 42 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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