Min Du
Impact in
- Animal Science and Zoology top 0.05%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Physiology top 0.2%
- Adipose Tissue and Metabolism
Papers in
-
- Muscle Physiology and Disorders 54
- Metabolism, Diabetes, and Cancer 43
- Gut microbiota and health 27
- Physiology 135
- Adipose Tissue and Metabolism 115
- Co-authors
- Mei‐Jun Zhu (124 shared papers)Stephen P. Ford (31 shared papers)Dong Uk Ahn (32 shared papers)Mei Zhu (25 shared papers)Peter W. Nathanielsz (22 shared papers)Xueying Mao (34 shared papers)Junxing Zhao (22 shared papers)Xu Yan (18 shared papers)
- Journals
- Journal of Animal Science (27 papers)Meat Science (24 papers)The FASEB Journal (22 papers)The Journal of Nutritional Biochemistry (15 papers)Nutrients (11 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Du
402 papers receiving 15.7k citations
Peers
Comparison fields: 5 of 161
- Animal Science and Zoology 2.7k
- Physiology 4.2k
- Obstetrics and Gynecology 999
- Pediatrics, Perinatology and Child Health 2.1k
- Geriatrics and Gerontology 367
Countries citing papers authored by Min Du
This map shows the geographic impact of Min Du'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 Min Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Du more than expected).
Fields of papers citing papers by Min Du
This network shows the impact of papers produced by Min Du. 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 Min Du. The network helps show where Min Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 416 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 415 | |
| 2 | 2006 | 298 | |
| 3 | 2015 | 251 | |
| 4 | 2004 | 207 | |
| 5 | 2016 | 202 | |
| 6 | 2017 | 195 | |
| 7 | 2012 | 194 | |
| 8 | 2021 | 168 | |
| 9 | 2014 | 166 | |
| 10 | 2009 | 164 | |
| 11 | 2003 | 164 | |
| 12 | 2010 | 163 | |
| 13 | 2005 | 150 | |
| 14 | 2009 | 150 | |
| 15 | 2021 | 150 | |
| 16 | 2006 | 145 | |
| 17 | 2000 | 141 | |
| 18 | 2016 | 138 | |
| 19 | 2008 | 137 | |
| 20 | 2015 | 132 |
About Min Du
Min Du is a scholar working on Molecular Biology, Physiology, Animal Science and Zoology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 416 papers that have together received 16.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (115 papers), Muscle Physiology and Disorders (54 papers), Meat and Animal Product Quality (44 papers), Metabolism, Diabetes, and Cancer (43 papers), Birth, Development, and Health (41 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers), Gut microbiota and health (27 papers) and Muscle metabolism and nutrition (20 papers). The work is most often cited by research in Animal Science and Zoology (2.7k citations), Physiology (4.2k citations), Obstetrics and Gynecology (999 citations), Pediatrics, Perinatology and Child Health (2.1k citations) and Geriatrics and Gerontology (367 citations) Min Du has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mei‐Jun Zhu, Stephen P. Ford, Dong Uk Ahn, Mei Zhu, Peter W. Nathanielsz, Xueying Mao, Junxing Zhao, Xu Yan, Ki‐Chang Nam and Michael V. Dodson. Their work appears in journals such as Journal of Animal Science, Meat Science, The FASEB Journal, The Journal of Nutritional Biochemistry and Nutrients.
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.