Ming Li Wang

4.1k total citations · 1 hit paper
77 papers, 3.0k citations indexed

About

Ming Li Wang is a scholar working on Plant Science, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Ming Li Wang has authored 77 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 28 papers in Molecular Biology and 15 papers in Inorganic Chemistry. Recurrent topics in Ming Li Wang's work include Peanut Plant Research Studies (27 papers), Agricultural pest management studies (23 papers) and Coconut Research and Applications (15 papers). Ming Li Wang is often cited by papers focused on Peanut Plant Research Studies (27 papers), Agricultural pest management studies (23 papers) and Coconut Research and Applications (15 papers). Ming Li Wang collaborates with scholars based in United States, China and India. Ming Li Wang's co-authors include Howard M. Goodman, Noelle A. Barkley, Ruth Finkelstein, Tim J. Lynch, Brandon Tonnis, G. A. Pederson, Roy N. Pittman, Jiming Jiang, Zhanguo Xin and Gloria Burow and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Plant Cell.

In The Last Decade

Ming Li Wang

76 papers receiving 2.9k citations

Hit Papers

The Arabidopsis Abscisic Acid Response Locus ABI4 Encodes... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Li Wang United States 28 2.4k 1.1k 419 377 244 77 3.0k
W. Friedt Germany 37 2.9k 1.2× 1.9k 1.7× 64 0.2× 937 2.5× 312 1.3× 135 4.3k
Fengming Song China 43 4.4k 1.8× 2.5k 2.3× 21 0.1× 176 0.5× 201 0.8× 134 5.4k
Jiahao Li China 25 659 0.3× 372 0.3× 312 0.7× 57 0.2× 188 0.8× 87 1.8k
Rakesh Singh India 26 2.0k 0.8× 657 0.6× 23 0.1× 693 1.8× 60 0.2× 176 2.8k
Jingguo Wang China 20 718 0.3× 366 0.3× 36 0.1× 109 0.3× 278 1.1× 57 1.5k
Jiyu Zhang China 25 1.1k 0.4× 722 0.7× 33 0.1× 124 0.3× 31 0.1× 120 1.7k
Xiansheng Zhang China 31 2.2k 0.9× 1.8k 1.7× 11 0.0× 216 0.6× 95 0.4× 70 3.0k
Suwen Zhu China 26 1.7k 0.7× 1.3k 1.2× 9 0.0× 103 0.3× 162 0.7× 57 2.3k
Xue‐Rong Zhou Australia 33 1.2k 0.5× 1.9k 1.7× 29 0.1× 265 0.7× 372 1.5× 108 3.3k
Daniel Cullen United States 31 1.7k 0.7× 630 0.6× 76 0.2× 39 0.1× 553 2.3× 64 2.4k

Countries citing papers authored by Ming Li Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ming Li Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Li Wang. A scholar is included among the top collaborators of Ming Li Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Li Wang. Ming Li Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Hui, Lisa L. Dean, Ming Li Wang, et al.. (2023). GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits. Frontiers in Plant Science. 14. 1204415–1204415. 8 indexed citations
2.
Wang, Ming Li, et al.. (2023). Generation of Sesame Mutant Population by Mutagenesis and Identification of High Oleate Mutants by GC Analysis. Plants. 12(6). 1294–1294. 1 indexed citations
3.
Wang, Ming Li, Hui Wang, Chuanzhi Zhao, et al.. (2021). Identification of QTLs for Seed Dormancy in Cultivated Peanut Using a Recombinant Inbred Line Mapping Population. Plant Molecular Biology Reporter. 40(1). 208–217. 12 indexed citations
4.
Wu, Yuye, Tingting Guo, Qi Mu, et al.. (2019). Allelochemicals targeted to balance competing selections in African agroecosystems. Nature Plants. 5(12). 1229–1236. 48 indexed citations
6.
Wang, Ming Li, et al.. (2018). Dragonfly wing decorated by gold nanoislands as flexible and stable substrates for surface-enhanced Raman scattering (SERS). Scientific Reports. 8(1). 6916–6916. 49 indexed citations
7.
Wang, Ming Li, et al.. (2015). Newly identified natural high-oleate mutant from Arachis hypogaea L. subsp. hypogaea. Molecular Breeding. 35(9). 19 indexed citations
8.
Chen, Honglin, Liping Liu, Lixia Wang, et al.. (2015). Development of SSR markers and assessment of genetic diversity of adzuki bean in the Chinese germplasm collection. Molecular Breeding. 35(10). 18 indexed citations
9.
Wang, Ming Li, Pawan Khera, Manish K. Pandey, et al.. (2015). Genetic Mapping of QTLs Controlling Fatty Acids Provided Insights into the Genetic Control of Fatty Acid Synthesis Pathway in Peanut (Arachis hypogaea L.). PLoS ONE. 10(4). e0119454–e0119454. 70 indexed citations
10.
Wang, Ming Li, Charles Y. Chen, Brandon Tonnis, et al.. (2013). Oil, Fatty Acid, Flavonoid, and Resveratrol Content Variability and FAD2A Functional SNP Genotypes in the U.S. Peanut Mini-Core Collection. Journal of Agricultural and Food Chemistry. 61(11). 2875–2882. 62 indexed citations
11.
Liu, Jiayang, Ming Li Wang, Brandon Tonnis, et al.. (2012). Fungal pretreatment of switchgrass for improved saccharification and simultaneous enzyme production. Bioresource Technology. 135. 39–45. 51 indexed citations
12.
Wang, Ming Li, Noelle A. Barkley, Zhenbang Chen, & Roy N. Pittman. (2011). FAD2 Gene Mutations Significantly Alter Fatty Acid Profiles in Cultivated Peanuts (Arachis hypogaea). Biochemical Genetics. 49(11-12). 748–759. 27 indexed citations
13.
Qin, Hongde, Suping Feng, Charles Chen, et al.. (2011). An integrated genetic linkage map of cultivated peanut (Arachis hypogaea L.) constructed from two RIL populations. Theoretical and Applied Genetics. 124(4). 653–664. 85 indexed citations
14.
Chen, Zhenbang, et al.. (2009). Genetic Diversity of Warm-Season Turfgrass: Seashore Paspalum, Bermudagrass, and Zoysiagrass Revealed by AFLPs. 18 indexed citations
15.
Xin, Zhanguo, Ming Li Wang, Noelle A. Barkley, et al.. (2008). Applying genotyping (TILLING) and phenotyping analyses to elucidate gene function in a chemically induced sorghum mutant population. BMC Plant Biology. 8(1). 103–103. 195 indexed citations
16.
Wang, Ming Li, R. Dean, John E. Erpelding, & G. A. Pederson. (2006). Molecular genetic evaluation of sorghum germplasm differing in response to fungal diseases: Rust (Puccinia purpurea) and anthracnose (Collectotrichum graminicola). Euphytica. 148(3). 319–330. 22 indexed citations
17.
Wang, Ming Li, et al.. (1999). A Cluster of ABA-Regulated Genes onArabidopsis thalianaBAC T07M07. Genome Research. 9(4). 325–333. 12 indexed citations
18.
Jackson, Scott A., Ming Li Wang, Howard M. Goodman, & Jiming Jiang. (1998). Application of fiber-FISH in physical mapping of Arabidopsis thaliana. Genome. 41(4). 566–572. 123 indexed citations
19.
Wang, Ming Li, Lu Huang, Eve Ann Zachgo, et al.. (1997). Construction of an ∼2 Mb contig in the region around 80 cM of Arabidopsis thaliana chromosome 2. The Plant Journal. 12(3). 711–730. 13 indexed citations
20.
Leitch, Andrew R., Trude Schwarzacher, Ming Li Wang, et al.. (1993). Molecular cytogenetic analysis of repeated sequences in a long term wheat suspension culture. Plant Cell Tissue and Organ Culture (PCTOC). 33(3). 287–296. 27 indexed citations

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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