Jing He

1.8k total citations
47 papers, 1.1k citations indexed

About

Jing He is a scholar working on Food Science, Molecular Biology and Microbiology. According to data from OpenAlex, Jing He has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Food Science, 20 papers in Molecular Biology and 17 papers in Microbiology. Recurrent topics in Jing He's work include Animal Diversity and Health Studies (20 papers), Antimicrobial Peptides and Activities (17 papers) and Biochemical and Structural Characterization (7 papers). Jing He is often cited by papers focused on Animal Diversity and Health Studies (20 papers), Antimicrobial Peptides and Activities (17 papers) and Biochemical and Structural Characterization (7 papers). Jing He collaborates with scholars based in China, United States and Mongolia. Jing He's co-authors include William C. Wimley, Aram J. Krauson, Charles G. Starr, Liang Ming, Rimutu Ji, Li Yi, Le Hai, Yu Liu, Wei Dong and Xiang-dong Shen and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Journal of Virology.

In The Last Decade

Jing He

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing He China 20 570 423 231 107 97 47 1.1k
Francisco Vassiliepe Sousa Arruda Brazil 18 379 0.7× 164 0.4× 147 0.6× 122 1.1× 11 0.1× 39 747
Yongxia Guo China 17 595 1.0× 62 0.1× 49 0.2× 37 0.3× 72 0.7× 44 1.4k
Charlotte Johansen Denmark 15 471 0.8× 142 0.3× 169 0.7× 108 1.0× 3 0.0× 16 934
Tian Li China 24 628 1.1× 44 0.1× 55 0.2× 132 1.2× 22 0.2× 152 1.8k
Qinghong Liu China 23 500 0.9× 16 0.0× 106 0.5× 112 1.0× 39 0.4× 51 1.5k
Jennifer K. Parker United States 22 461 0.8× 42 0.1× 130 0.6× 33 0.3× 7 0.1× 47 1.2k
Junzhi Qiu China 14 448 0.8× 65 0.2× 113 0.5× 20 0.2× 5 0.1× 57 966
Salvatore Fusco Italy 18 445 0.8× 90 0.2× 116 0.5× 24 0.2× 3 0.0× 33 842
Diana Luise Italy 20 558 1.0× 58 0.1× 300 1.3× 62 0.6× 3 0.0× 76 1.4k
Weiyu Jiang China 13 402 0.7× 213 0.5× 136 0.6× 153 1.4× 24 1.1k

Countries citing papers authored by Jing He

Since Specialization
Citations

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

Fields of papers citing papers by Jing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing He

This figure shows the co-authorship network connecting the top 25 collaborators of Jing He. A scholar is included among the top collaborators of Jing 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 Jing He. Jing He 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.
Yang, Danjing, Jieping Zhang, Yan Zhao, et al.. (2025). Dendrimer-Derived Mimics of Host Defense Peptides Selectively Disrupt Cancer Cell Membranes for Melanoma Therapy. Pharmaceutics. 17(3). 361–361. 1 indexed citations
2.
He, Lei, Siqi Dong, Wenli Zhang, et al.. (2025). Association of MALAT1 gene polymorphisms with neuroblastoma susceptibility in children from Jiangsu Province. Human Genomics. 20(1). 15–15.
3.
He, Jing, et al.. (2024). Camel milk polar lipids ameliorate dextran sulfate sodium-induced colitis in mice by modulating the gut microbiota. Journal of Dairy Science. 107(9). 6413–6424. 2 indexed citations
4.
He, Jing, Tao Yu, & Yan Li. (2023). Biodegradable thermoset poly(lactic acid) resin containing phosphorus: Flame retardancy, mechanical properties and its soil degradation behavior. International Journal of Biological Macromolecules. 235. 123737–123737. 17 indexed citations
5.
He, Jing, et al.. (2023). Lipidomic and proteomic profiling identifies the milk fat globule membrane composition of milk from cows and camels. Food Research International. 179. 113816–113816. 5 indexed citations
6.
He, Jing, et al.. (2022). Camel milk modulates the gut microbiota and has anti-inflammatory effects in a mouse model of colitis. Journal of Dairy Science. 105(5). 3782–3793. 41 indexed citations
7.
Hai, Le, et al.. (2021). Reversible insulin resistance helps Bactrian camels survive fasting. Scientific Reports. 11(1). 18815–18815. 1 indexed citations
8.
Ming, Liang, Zhen Wang, Li Yi, et al.. (2020). Chromosome‐level assembly of wild Bactrian camel genome reveals organization of immune gene loci. Molecular Ecology Resources. 20(3). 770–780. 25 indexed citations
9.
Ming, Liang, et al.. (2020). Mitochondrial DNA variation and phylogeography of Old World camels. Animal Bioscience. 34(4). 525–532. 3 indexed citations
10.
He, Jing, et al.. (2020). The gut microbiota and its metabolites in mice are affected by high heat treatment of Bactrian camel milk. Journal of Dairy Science. 103(12). 11178–11189. 12 indexed citations
11.
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
12.
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
13.
Luo, Haowen, et al.. (2019). Different tillage induces regulation in 2-acetyl-1-pyrroline biosynthesis in direct-seeded fragrant rice. BMC Plant Biology. 19(1). 308–308. 34 indexed citations
14.
Luo, Haowen, Bin Du, Longxin He, et al.. (2019). Exogenous application of zinc (Zn) at the heading stage regulates 2-acetyl-1-pyrroline (2-AP) biosynthesis in different fragrant rice genotypes. Scientific Reports. 9(1). 19513–19513. 33 indexed citations
15.
Starr, Charles G., Jerome L. Maderdrut, Jing He, David H. Coy, & William C. Wimley. (2018). Pituitary adenylate cyclase-activating polypeptide is a potent broad-spectrum antimicrobial peptide: Structure-activity relationships. Peptides. 104. 35–40. 41 indexed citations
16.
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
17.
He, Jing, Charles G. Starr, & William C. Wimley. (2014). A lack of synergy between membrane-permeabilizing cationic antimicrobial peptides and conventional antibiotics. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(1). 8–15. 41 indexed citations
18.
Wiedman, Gregory, Taylor Fuselier, Jing He, et al.. (2014). A Novel Functional Class of Pore-Forming Peptides. Biophysical Journal. 106(2). 85a–86a. 1 indexed citations
19.
Chekmenev, Eduard Y., Breanna S. Vollmar, Michelle Pate, et al.. (2006). Investigating molecular recognition and biological function at interfaces using piscidins, antimicrobial peptides from fish. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(9). 1359–1372. 73 indexed citations
20.
He, Guang, Jinming Zhang, Y. X. Pan, et al.. (2005). Interleukin-10 −1082 promoter polymorphism is associated with schizophrenia in a Han Chinese sib-pair study. Neuroscience Letters. 394(1). 1–4. 19 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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