Mingjun Yang

764 citations
32 papers · 633 · h-index 13

Impact in

    • Polysaccharides Composition and Applications
  • Pharmacology top 10%
    • Cholinesterase and Neurodegenerative Diseases
    • Fungal Biology and Applications

Papers in

    • Polysaccharides Composition and Applications 7
    • Food Drying and Modeling 2
    • Cholinesterase and Neurodegenerative Diseases 5

Mingjun Yang

30 papers receiving 623 citations

Peers

Mingjun Yang
Comparison fields: 5 of 68
  • Food Science 165
  • Pharmacology 90
  • Complementary and alternative medicine 56
  • Animal Science and Zoology 49
  • Analytical Chemistry 56
Replace Yun Wu with:
Yun Wu China
Zhongping Yin China
Daheng Zheng China
Pullela V. Srinivas India
Yuvadee Wongkrajang Thailand
Hazrulrizawati Abd Hamid Malaysia
Zhonghai Tang China
Ricardo G Woisky Brazil
Ki-Wan Lee South Korea
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Mingjun Yang relative to Yun Wu China Yun Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mingjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 200971
3 201155
4 201139
5 201136
6 201836
7 202036
8 200230
9 202128
10 202027
11 202126
12 202224
13 202016
14 202313
15 202413
16 202312
17 202111
18 202210
19 20229
20 20208

About Mingjun Yang

Mingjun Yang is a scholar working on Food Science, Pharmacology, Rehabilitation, Animal Science and Zoology and Plant Science, having authored 32 papers that have together received 633 indexed citations. Recurring topics across this work include Polysaccharides Composition and Applications (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Plant-Microbe Interactions and Immunity (3 papers), Meat and Animal Product Quality (3 papers), Wound Healing and Treatments (3 papers), Natural Antidiabetic Agents Studies (2 papers), Animal Nutrition and Physiology (2 papers) and Food Drying and Modeling (2 papers). The work is most often cited by research in Food Science (165 citations), Pharmacology (90 citations), Complementary and alternative medicine (56 citations), Animal Science and Zoology (49 citations) and Analytical Chemistry (56 citations). Mingjun Yang has collaborated with scholars based in China, Iran and Nigeria. Frequent co-authors include Zhong‐Duo Yang, Yonggang Wang, Feifan Leng, Jin Ren, Dong-Bo Zhang, Wenguang Fan, Xueqing Ma, Dongzhu Duan, Haiwei Ren and Yuanli Li. Their work appears in journals such as Medicinal Chemistry Research, Biomedical Materials, International Journal of Biological Macromolecules, Journal of Environmental Management and Chromatographia.

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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