Junai Gan

658 total citations
15 papers, 490 citations indexed

About

Junai Gan is a scholar working on Nutrition and Dietetics, Epidemiology and Molecular Biology. According to data from OpenAlex, Junai Gan has authored 15 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nutrition and Dietetics, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Junai Gan's work include Infant Nutrition and Health (10 papers), Breastfeeding Practices and Influences (5 papers) and Chemical Synthesis and Analysis (2 papers). Junai Gan is often cited by papers focused on Infant Nutrition and Health (10 papers), Breastfeeding Practices and Influences (5 papers) and Chemical Synthesis and Analysis (2 papers). Junai Gan collaborates with scholars based in United States, China and Netherlands. Junai Gan's co-authors include J. Bruce German, David C. Dallas, Randall C. Robinson, Daniela Barile, Carlito B. Lebrilla, Andrés Guerrero‐Martínez, Evan A. Parker, Bethany M. Henrick, Gail M. Bornhorst and Justin B. Siegel and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Junai Gan

13 papers receiving 484 citations

Peers

Junai Gan
Michael T. Shanahan United States
Benjamin P. Kellman United States
Annabelle Le Parc United States
Sarah Reed Australia
Alison R. Erickson United States
Michael T. Shanahan United States
Junai Gan
Citations per year, relative to Junai Gan Junai Gan (= 1×) peers Michael T. Shanahan

Countries citing papers authored by Junai Gan

Since Specialization
Citations

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

Fields of papers citing papers by Junai Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junai Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Junai Gan. A scholar is included among the top collaborators of Junai Gan 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 Junai Gan. Junai Gan 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.
Yang, Xue, Junai Gan, Ingrid B. Renes, et al.. (2024). In Vitro Lipid Digestion of Milk Formula with Different Lipid Droplets: A Study on the Gastric Digestion Emulsion Structure and Lipid Release Pattern. Journal of Agricultural and Food Chemistry. 72(44). 24736–24748. 2 indexed citations
5.
Gan, Junai, et al.. (2023). Advances and challenges for obtaining human milk oligosaccharides: Extraction from natural sources and synthesis by intentional design. Trends in Food Science & Technology. 141. 104203–104203. 23 indexed citations
6.
Gan, Junai, Xiaoxiao Jiang, Tao Zhang, et al.. (2022). Identification and Characterization of Domains Responsible for Cell Wall Binding, Self-Assembly, and Adhesion of S-layer Protein from Lactobacillus acidophilus CICC 6074. Journal of Agricultural and Food Chemistry. 70(40). 12982–12989. 8 indexed citations
7.
Gan, Junai, et al.. (2020). Distribution of Free and Esterified Oxylipins in Cream, Cell, and Skim Fractions of Human Milk. Lipids. 55(6). 661–670. 9 indexed citations
8.
Gan, Junai, Justin B. Siegel, & J. Bruce German. (2019). Molecular annotation of food – Towards personalized diet and precision health. Trends in Food Science & Technology. 91. 675–680. 24 indexed citations
9.
Yang, Zhicheng, Parth H. Pathak, Mo Sha, et al.. (2019). On the feasibility of estimating soluble sugar content using millimeter-wave. 13–24. 14 indexed citations
10.
Gan, Junai, et al.. (2019). Selective Proteolysis of α‐Lactalbumin by Endogenous Enzymes of Human Milk at Acidic pH. Molecular Nutrition & Food Research. 63(18). e1900259–e1900259. 4 indexed citations
11.
Gan, Junai, et al.. (2018). Peptidomic profiling of human milk with LC–MS/MS reveals pH-specific proteolysis of milk proteins. Food Chemistry. 274. 766–774. 36 indexed citations
12.
Gan, Junai, Gail M. Bornhorst, Bethany M. Henrick, & J. Bruce German. (2017). Protein Digestion of Baby Foods: Study Approaches and Implications for Infant Health. Molecular Nutrition & Food Research. 62(1). 73 indexed citations
13.
Guo, Yuxing, Junai Gan, Qian Zhu, et al.. (2017). Transepithelial transport of milk‐derived angiotensin I‐converting enzyme inhibitory peptide with the RLSFNP sequence. Journal of the Science of Food and Agriculture. 98(3). 976–983. 31 indexed citations
14.
Dallas, David C., et al.. (2015). Proteolytic Systems in Milk: Perspectives on the Evolutionary Function within the Mammary Gland and the Infant. Journal of Mammary Gland Biology and Neoplasia. 20(3-4). 133–147. 87 indexed citations
15.
Dallas, David C., Andrés Guerrero‐Martínez, Evan A. Parker, et al.. (2014). Current peptidomics: Applications, purification, identification, quantification, and functional analysis. PROTEOMICS. 15(5-6). 1026–1038. 175 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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