Ming Jun Yang
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
Papers in
-
- Cancer-related molecular mechanisms research 9
- Epidemiology 25
- Liver Disease Diagnosis and Treatment 24
- Co-authors
- Chunye Zhang (44 shared papers)Aaron C. Ericsson (5 shared papers)Zhenfang Wu (18 shared papers)Jie Yang (17 shared papers)Eric T. Kimchi (12 shared papers)Kevin F. Staveley-O’Carroll (12 shared papers)Guangfu Li (12 shared papers)Gengyuan Cai (13 shared papers)
- Journals
- PLoS ONE (6 papers)World Journal of Gastroenterology (5 papers)BMC Microbiology (5 papers)Scientific Reports (5 papers)Frontiers in Genetics (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ming Jun Yang
125 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 139
- Microbiology 301
- Animal Science and Zoology 313
- Hepatology 189
- Cancer Research 287
- Physiology 90
Countries citing papers authored by Ming Jun Yang
This map shows the geographic impact of Ming Jun 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 Ming Jun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jun Yang more than expected).
Fields of papers citing papers by Ming Jun Yang
This network shows the impact of papers produced by Ming Jun 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 Ming Jun Yang. The network helps show where Ming Jun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Jun Yang, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2021 | 134 | |
| 3 | 2018 | 132 | |
| 4 | 2022 | 113 | |
| 5 | 2022 | 112 | |
| 6 | 2023 | 87 | |
| 7 | 2020 | 85 | |
| 8 | 2018 | 81 | |
| 9 | 2018 | 78 | |
| 10 | 2021 | 77 | |
| 11 | 2019 | 74 | |
| 12 | 2007 | 71 | |
| 13 | 2016 | 68 | |
| 14 | 2013 | 66 | |
| 15 | 2019 | 64 | |
| 16 | 2023 | 61 | |
| 17 | 2019 | 58 | |
| 18 | The role of liver sinusoidal endothelial cells in cancer liver metastasis. | 2021 | 52 |
| 19 | 2012 | 50 | |
| 20 | 2012 | 50 |
About Ming Jun Yang
Ming Jun Yang is a scholar working on Cancer Research, Epidemiology, Microbiology, Genetics and Immunology, having authored 132 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (24 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Genetic and phenotypic traits in livestock (15 papers), Gut microbiota and health (10 papers), Antimicrobial Peptides and Activities (10 papers), Cancer-related molecular mechanisms research (9 papers), Immune cells in cancer (7 papers) and Pancreatic and Hepatic Oncology Research (7 papers). The work is most often cited by research in Microbiology (301 citations), Animal Science and Zoology (313 citations), Hepatology (189 citations), Cancer Research (287 citations) and Physiology (90 citations). Ming Jun Yang has collaborated with scholars based in China, United States and India. Frequent co-authors include Chunye Zhang, Aaron C. Ericsson, Zhenfang Wu, Jie Yang, Eric T. Kimchi, Kevin F. Staveley-O’Carroll, Guangfu Li, Gengyuan Cai, Enqin Zheng and Shuping Zhang. Their work appears in journals such as PLoS ONE, World Journal of Gastroenterology, BMC Microbiology, Scientific Reports 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.