Ming Deng

860 citations
57 papers · 624 · h-index 15

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 13
    • Reproductive Physiology in Livestock 10
    • Cancer-related molecular mechanisms research 18
    • MicroRNA in disease regulation 8

Ming Deng

57 papers receiving 621 citations

Peers

Ming Deng
Comparison fields: 5 of 97
  • Agronomy and Crop Science 184
  • Animal Science and Zoology 139
  • Cancer Research 112
  • Small Animals 51
  • Nutrition and Dietetics 63
Replace Henry A. Paz with:
Henry A. Paz United States
Yiguang Zhao China
Yaokun Li China
Changjin Ao China
Yalei Cui China
Mengzhi Wang China
Yinghua Shi China
H. Atashi Iran
Iosif Bizelis Greece
Olimpia Barbato Italy
Ming Deng relative to Henry A. Paz United States Henry A. Paz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 202140
3 201938
4 202036
5 202223
6 202223
7 202023
8 201923
9 202121
10 202019
11 202118
12 202116
13 202016
14 201914
15 202014
16 202013
17 202013
18 202312
19 202012
20 202412

About Ming Deng

Ming Deng is a scholar working on Agronomy and Crop Science, Cancer Research, Molecular Biology, Genetics and Animal Science and Zoology, having authored 57 papers that have together received 624 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), Ruminant Nutrition and Digestive Physiology (13 papers), Genetic and phenotypic traits in livestock (12 papers), Reproductive Physiology in Livestock (10 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (8 papers), Moringa oleifera research and applications (5 papers) and Animal Nutrition and Physiology (4 papers). The work is most often cited by research in Agronomy and Crop Science (184 citations), Animal Science and Zoology (139 citations), Cancer Research (112 citations), Small Animals (51 citations) and Nutrition and Dietetics (63 citations). Ming Deng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Baoli Sun, Yongqing Guo, Dewu Liu, Yaokun Li, Guangbin Liu, Yulong Yin, Chengquan Tan, Xian Zou, Yao Liang and Jinping Deng. Their work appears in journals such as Animals, International Journal of Molecular Sciences, Frontiers in Microbiology, Genes and Frontiers in Genetics.

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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