Jin Sun

4.0k citations
109 papers · 3.1k · h-index 32

Impact in

Papers in

    • Gut microbiota and health 27
    • Diet and metabolism studies 13
    • Adipose Tissue and Metabolism 7
    • Biochemical effects in animals 6

Jin Sun

105 papers receiving 3.1k citations

Peers

Jin Sun
Comparison fields: 5 of 136
  • Geriatrics and Gerontology 165
  • Biological Psychiatry 113
  • Nutrition and Dietetics 553
  • Physiology 717
  • Food Science 458
Replace Bin Feng with:
Bin Feng China
Marta Chagas Monteiro Brazil
Abdullah Shaito Qatar
Chong‐Kil Lee South Korea
Xiao‐Ping Lai China
Jilin Li China
Fermín Sánchez de Medina Spain
Paul Kirkham United Kingdom
Denisa Margină Romania
Chia‐Chen Lu Taiwan
Jin Sun relative to Bin Feng China Bin Feng's profile →
Citations per field
00.5×3.1×
Bin Feng · 1×
Citations per year

Countries citing papers authored by Jin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin 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 Jin Sun Line = papers co-authored together Jin Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014305
2 2012177
3 2019119
4 201894
5 201990
6 201689
7 201969
8 201368
9 201367
10 201567
11 201864
12 202263
13 202061
14 201959
15 201958
16 201958
17 201558
18 200653
19 200550
20 201948

About Jin Sun

Jin Sun is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Food Science and Epidemiology, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gut microbiota and health (27 papers), Probiotics and Fermented Foods (13 papers), Diet and metabolism studies (13 papers), Infant Nutrition and Health (11 papers), Adipose Tissue and Metabolism (7 papers), Biochemical effects in animals (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Fatty Acid Research and Health (5 papers). The work is most often cited by research in Geriatrics and Gerontology (165 citations), Biological Psychiatry (113 citations), Nutrition and Dietetics (553 citations), Physiology (717 citations) and Food Science (458 citations). Jin Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yonghui Shi, Guowei Le, Yi Qiao, Ce Qi, Shufang Xia, Xue Tang, Renqiang Yu, Guowei Le, Hang Xiao and Yuhui Yang. Their work appears in journals such as Food & Function, Molecular Nutrition & Food Research, Journal of Agricultural and Food Chemistry, Frontiers in Nutrition and Nutrition.

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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