Mingyu Jin

883 citations
49 papers · 489 · h-index 10

Impact in

Papers in

    • Polysaccharides Composition and Applications 7
    • Proteins in Food Systems 4
    • Polysaccharides and Plant Cell Walls 9

Mingyu Jin

37 papers receiving 477 citations

Peers

Mingyu Jin
Comparison fields: 5 of 119
  • Food Science 124
  • Toxicology 18
  • Complementary and alternative medicine 43
  • Health Informatics 7
  • Nutrition and Dietetics 76
Replace Young‐Sik Kim with:
Young‐Sik Kim South Korea
Wasim Akram India
Rakesh K. Sindhu India
Jiazhen Wu China
Daniel Augusto Gasparin Bueno Mendes Brazil
Xiulian Li China
Abdulraheem Ali Almalki Saudi Arabia
Haifeng Tang China
Bin Hu China
Yun Hee Jeong South Korea
Mingyu Jin relative to Young‐Sik Kim South Korea Young‐Sik Kim's profile →
Citations per field
00.5×
Young‐Sik Kim · 1×
Citations per year

Countries citing papers authored by Mingyu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 2018102
3 202145
4 202127
5 202319
6 202418
7 202317
8 202415
9 202411
10 201611
11 20229
12 20248
13 20248
14 20188
15 20247
16 20177
17 20257
18 20246
19 20176
20 20246

About Mingyu Jin

Mingyu Jin is a scholar working on Food Science, Plant Science, Artificial Intelligence, Nutrition and Dietetics and Surgery, having authored 49 papers that have together received 489 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (9 papers), Polysaccharides Composition and Applications (7 papers), Microbial Metabolites in Food Biotechnology (5 papers), Proteins in Food Systems (4 papers), Topic Modeling (4 papers), Morinda citrifolia extract uses (3 papers), Natural Language Processing Techniques (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Food Science (124 citations), Toxicology (18 citations), Complementary and alternative medicine (43 citations), Health Informatics (7 citations) and Nutrition and Dietetics (76 citations). Mingyu Jin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaoyong Wu, Zhenlin Xu, Yuanming Sun, Riming Huang, Meiying Li, Yuxiao Wang, Xiaobing Yang, Hui Yin, Shaoping Nie and Yiming Yuan. Their work appears in journals such as Food Chemistry, Food Hydrocolloids, International Journal of Biological Macromolecules, Journal of Agricultural and Food Chemistry and Comprehensive Reviews in Food Science and Food Safety.

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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