Baokun He

1.3k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Baokun He is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Baokun He has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 4 papers in Food Science. Recurrent topics in Baokun He's work include Gut microbiota and health (7 papers), Probiotics and Fermented Foods (4 papers) and Infant Nutrition and Health (4 papers). Baokun He is often cited by papers focused on Gut microbiota and health (7 papers), Probiotics and Fermented Foods (4 papers) and Infant Nutrition and Health (4 papers). Baokun He collaborates with scholars based in United States, Sweden and Japan. Baokun He's co-authors include Zheng Chen, Kazunari Nohara, Seung Hee Yoo, J. Marc Rhoads, Thomas K. Hoang, Yuying Liu, Dat Q. Tran, Nobuya Koike, Xiangjun Tian and Cheng Chi Lee and has published in prestigious journals such as The Journal of Experimental Medicine, Gastroenterology and Cell Metabolism.

In The Last Decade

Baokun He

15 papers receiving 1.0k citations

Hit Papers

The Small Molecule Nobiletin Targets the Molecular Oscill... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Small Molecule Nobiletin Targets the Molecular Oscillator to Enhance Circadian Rhythms and Protect against Metabolic Syndrome
    2016 385 citations Baokun He, Kazunari Nohara et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baokun He United States 11 441 330 247 154 154 15 1.0k
Shufang Xia China 18 540 1.2× 82 0.2× 429 1.7× 91 0.6× 110 0.7× 36 1.2k
Yosuke Kikuchi Japan 12 262 0.6× 150 0.5× 144 0.6× 67 0.4× 94 0.6× 33 657
Haruki Shibata Japan 22 304 0.7× 280 0.8× 359 1.5× 82 0.5× 79 0.5× 50 1.4k
Juan Su China 23 542 1.2× 140 0.4× 134 0.5× 216 1.4× 132 0.9× 72 1.5k
Pilar Utrilla Spain 10 324 0.7× 79 0.2× 158 0.6× 133 0.9× 120 0.8× 13 863
Iwona Brzozowska Poland 19 225 0.5× 315 1.0× 182 0.7× 84 0.5× 59 0.4× 37 1.1k
Guowei Le China 15 403 0.9× 69 0.2× 313 1.3× 92 0.6× 100 0.6× 23 853
Kannan V. Balan United States 18 507 1.1× 221 0.7× 134 0.5× 65 0.4× 153 1.0× 50 1.3k
Min-Seon Kim South Korea 10 839 1.9× 407 1.2× 615 2.5× 20 0.1× 108 0.7× 11 1.8k
Roberto Barbosa Bazotte Brazil 19 331 0.8× 107 0.3× 409 1.7× 71 0.5× 71 0.5× 94 1.2k

Countries citing papers authored by Baokun He

Since Specialization
Citations

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

Fields of papers citing papers by Baokun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baokun He

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

All Works

15 of 15 papers shown
1.
He, Baokun, Thomas K. Hoang, Xiangjun Tian, et al.. (2019). Lactobacillus reuteri Reduces the Severity of Experimental Autoimmune Encephalomyelitis in Mice by Modulating Gut Microbiota. Frontiers in Immunology. 10. 385–385. 141 indexed citations
2.
Hoang, Thomas K., Jasmin Freeborn, Ting Wang, et al.. (2019). Human Breast Milk Promotes the Immunomodulatory Function of Probiotic Lactobacillus reuteri DSM 17938 in the Neonatal Rat Intestine. PubMed. 7(1). 6 indexed citations
3.
He, Baokun, Yuying Liu, Thomas K. Hoang, et al.. (2019). Antibiotic-modulated microbiome suppresses lethal inflammation and prolongs lifespan in Treg-deficient mice. Microbiome. 7(1). 145–145. 27 indexed citations
4.
Liu, Yuying, Xiangjun Tian, Baokun He, et al.. (2019). Sa1133 – Lactobacillus Reuteri Dsm 17938 Feeding of Healthy Newborn Mice Regulates Immune Responses While Modulating Gut Microbiota and Their Associated Metabolites. Gastroenterology. 156(6). S–279. 1 indexed citations
5.
Liu, Yuying, Xiangjun Tian, Baokun He, et al.. (2019). Lactobacillus reuteriDSM 17938 feeding of healthy newborn mice regulates immune responses while modulating gut microbiota and boosting beneficial metabolites. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(6). G824–G838. 69 indexed citations
6.
Hoang, Thomas K., Jasmin Freeborn, Ting Wang, et al.. (2019). Human Breast Milk Promotes the Immunomodulatory Function of Probiotic Lactobacillus reuteri DSM 17938 in the Neonatal Rat Intestine. 7(1). 1 indexed citations
7.
8.
Hoang, Thomas K., Baokun He, Ting Wang, et al.. (2018). Protective effect of Lactobacillus reuteri DSM 17938 against experimental necrotizing enterocolitis is mediated by Toll-like receptor 2. American Journal of Physiology-Gastrointestinal and Liver Physiology. 315(2). G231–G240. 58 indexed citations
9.
He, Baokun, Thomas K. Hoang, Dat Q. Tran, J. Marc Rhoads, & Yuying Liu. (2017). Adenosine A2A Receptor Deletion Blocks the Beneficial Effects of Lactobacillus reuteri in Regulatory T-Deficient Scurfy Mice. Frontiers in Immunology. 8. 1680–1680. 27 indexed citations
10.
He, Baokun, Kazunari Nohara, Yong Sung Park, et al.. (2016). The Small Molecule Nobiletin Targets the Molecular Oscillator to Enhance Circadian Rhythms and Protect against Metabolic Syndrome. Cell Metabolism. 23(4). 610–621. 385 indexed citations breakdown →
11.
He, Baokun & Zheng Chen. (2016). Molecular Targets for Small-Molecule Modulators of Circadian Clocks. Current Drug Metabolism. 17(5). 503–512. 37 indexed citations
12.
He, Baokun, Thomas K. Hoang, Ting Wang, et al.. (2016). Resetting microbiota by Lactobacillus reuteri inhibits T reg deficiency–induced autoimmunity via adenosine A2A receptors. The Journal of Experimental Medicine. 214(1). 107–123. 146 indexed citations
13.
Nohara, Kazunari, Kwon Jeong, Baokun He, et al.. (2015). Ammonia-lowering activities and carbamoyl phosphate synthetase 1 (Cps1) induction mechanism of a natural flavonoid. Nutrition & Metabolism. 12(1). 23–23. 28 indexed citations
14.
Jeong, Kwon, Baokun He, Kazunari Nohara, et al.. (2015). Dual attenuation of proteasomal and autophagic BMAL1 degradation in ClockΔ19/+ mice contributes to improved glucose homeostasis. Scientific Reports. 5(1). 12801–12801. 32 indexed citations
15.
He, Baokun, Kazunari Nohara, Nadim J. Ajami, et al.. (2015). Transmissible microbial and metabolomic remodeling by soluble dietary fiber improves metabolic homeostasis. Scientific Reports. 5(1). 10604–10604. 72 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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