Ming Li Wang
- Plant Science top 0.5%
- Peanut Plant Research Studies 27
- Agricultural pest management studies 23
- Chromosomal and Genetic Variations 7
- Plant Disease Resistance and Genetics 6
- Inorganic Chemistry top 5%
- Coconut Research and Applications 15
- Agronomy and Crop Science top 5%
- Bioenergy crop production and management 8
- Molecular Biology top 10%
- Nitrogen and Sulfur Effects on Brassica 15
- Biochemistry top 5%
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- Genetic Mapping and Diversity in Plants and Animals 7
- Co-authors
- Howard M. GoodmanNoelle A. BarkleyTim J. LynchRuth FinkelsteinBrandon TonnisG. A. PedersonRoy N. PittmanJiming Jiang
- Journals
- Journal of Agricultural and Food Chemistry (7 papers)Industrial Crops and Products (5 papers)Plant Molecular Biology Reporter (3 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Ming Li Wang
76 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Plant Science 2.4k
- Inorganic Chemistry 419
- Agronomy and Crop Science 173
- Molecular Biology 1.1k
- Biochemistry 109
Countries citing papers authored by Ming Li Wang
This map shows the geographic impact of Ming Li Wang'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 Li Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li Wang more than expected).
Fields of papers citing papers by Ming Li Wang
This network shows the impact of papers produced by Ming Li Wang. 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 Li Wang. The network helps show where Ming Li Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Li Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 79 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 48 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 49 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 70 | |
| 10 | 2014 | 91 | |
| 11 | 2012 | 51 | |
| 12 | 2011 | 27 | |
| 13 | 2011 | 85 | |
| 14 | 2011 | 75 | |
| 15 | Genetic Diversity of Warm-Season Turfgrass: Seashore Paspalum, Bermudagrass, and Zoysiagrass Revealed by AFLPs | 2009 | 18 |
| 16 | 2008 | 195 | |
| 17 | 1999 | 12 | |
| 18 | 1998 | 123 | |
| 19 | 1997 | 13 | |
| 20 | 1993 | 27 |
About Ming Li Wang
Ming Li Wang is a scholar working on Plant Science, Inorganic Chemistry and Agronomy and Crop Science, having authored 77 papers that have together received 3.0k indexed citations. Recurring topics across this work include Peanut Plant Research Studies (27 papers), Agricultural pest management studies (23 papers), Coconut Research and Applications (15 papers), Nitrogen and Sulfur Effects on Brassica (15 papers), Bioenergy crop production and management (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Chromosomal and Genetic Variations (7 papers) and Plant Disease Resistance and Genetics (6 papers). The work is most often cited by research in Plant Science (2.4k citations), Inorganic Chemistry (419 citations) and Agronomy and Crop Science (173 citations). Ming Li Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Howard M. Goodman, Noelle A. Barkley, Tim J. Lynch, Ruth Finkelstein, Brandon Tonnis, G. A. Pederson, Roy N. Pittman, Jiming Jiang, Zhanguo Xin and John Burke. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Industrial Crops and Products, Plant Molecular Biology Reporter, Molecular Breeding and Theoretical and Applied 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.