Yanming Di
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Horticultural and Viticultural Research
- Mycorrhizal Fungi and Plant Interactions
-
- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
Papers in
-
- Gene expression and cancer classification 9
- Molecular Biology Techniques and Applications 7
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- Genetics 9
- Genetic Associations and Epidemiology 6
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Jason S. Cumbie (5 shared papers)Jeff H. Chang (6 shared papers)Daniel W. Schafer (4 shared papers)Justin Elser (2 shared papers)Joseph W. Spatafora (2 shared papers)Pankaj Jaiswal (2 shared papers)Gu Mi (4 shared papers)Mariko Nonogaki (1 shared paper)
- Journals
- PLoS ONE (4 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)Genes (2 papers)PeerJ (1 paper)Annals of Human Genetics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Yanming Di
25 papers receiving 547 citations
Peers
Comparison fields: 5 of 89
- Plant Science 189
- Pharmacology 77
- Molecular Biology 308
- Insect Science 42
- Cancer Research 42
Countries citing papers authored by Yanming Di
This map shows the geographic impact of Yanming Di'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 Yanming Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanming Di more than expected).
Fields of papers citing papers by Yanming Di
This network shows the impact of papers produced by Yanming Di. 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 Yanming Di. The network helps show where Yanming Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanming Di, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 134 | |
| 2 | 2013 | 130 | |
| 3 | 2013 | 49 | |
| 4 | 2014 | 48 | |
| 5 | 2011 | 48 | |
| 6 | 2012 | 24 | |
| 7 | 2016 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2007 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2011 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2008 | 5 | |
| 16 | 2011 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2020 | 4 |
About Yanming Di
Yanming Di is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Insect Science, having authored 26 papers that have together received 560 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (7 papers), Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genomics and Phylogenetic Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). The work is most often cited by research in Plant Science (189 citations), Pharmacology (77 citations), Molecular Biology (308 citations), Insect Science (42 citations) and Cancer Research (42 citations). Yanming Di has collaborated with scholars based in United States and Canada. Frequent co-authors include Jason S. Cumbie, Jeff H. Chang, Daniel W. Schafer, Justin Elser, Joseph W. Spatafora, Pankaj Jaiswal, Gu Mi, Mariko Nonogaki, Brian J. Knaus and Daniel Miller. Their work appears in journals such as PLoS ONE, Statistical Applications in Genetics and Molecular Biology, Genes, PeerJ and Annals of Human 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.