Jun Sun

2.0k citations
69 papers · 1.7k · h-index 24

Impact in

Papers in

    • Proteins in Food Systems 18
    • Microencapsulation and Drying Processes 9
    • Protein Hydrolysis and Bioactive Peptides 7
    • Protein Interaction Studies and Fluorescence Analysis 5

Jun Sun

62 papers receiving 1.6k citations

Peers

Jun Sun
Comparison fields: 5 of 120
  • Food Science 598
  • Nutrition and Dietetics 243
  • Water Science and Technology 197
  • Animal Science and Zoology 134
  • Biomaterials 140
Replace Kyuya Nakagawa with:
Kyuya Nakagawa Japan
Kaijun Xiao China
Shiwei Hu China
Jie Wan China
Jin Mao China
Wenxiu Wang China
Y. Martin Lo United States
Yajun Zheng China
Juliana Steffens Brazil
S. Karthikeyan India
Jun Sun relative to Kyuya Nakagawa Japan Kyuya Nakagawa's profile →
Citations per field
00.5×4.5×
Kyuya Nakagawa · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Sun Line = papers co-authored together Jun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2009135
3 2020101
4 202071
5 202070
6 201169
7 201964
8 202058
9 202154
10 202253
11 202251
12 202151
13 201749
14 200747
15 201343
16 202043
17 201641
18 201140
19 201728
20 201327

About Jun Sun

Jun Sun is a scholar working on Food Science, Molecular Biology, Electronic, Optical and Magnetic Materials, Nutrition and Dietetics and Biomedical Engineering, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Proteins in Food Systems (18 papers), Microencapsulation and Drying Processes (9 papers), Food composition and properties (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Meat and Animal Product Quality (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Thermochemical Biomass Conversion Processes (5 papers) and Protein Interaction Studies and Fluorescence Analysis (5 papers). The work is most often cited by research in Food Science (598 citations), Nutrition and Dietetics (243 citations), Water Science and Technology (197 citations), Animal Science and Zoology (134 citations) and Biomaterials (140 citations). Jun Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Xu, Mohammed Obadi, Yaoyao Mu, Hui Jing, Jingdong Mao, Yeqing Lan, Yanjun Yang, Zhongwei Chen, Yujie Su and David Julian McClements. Their work appears in journals such as Journal of Chromatography B, Food Chemistry, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of the Science of Food and Agriculture and RSC Advances.

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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