Ming Huang

61 total papers · 1.1k total citations
48 papers, 812 citations indexed

About

Ming Huang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ming Huang has authored 48 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 22 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Ming Huang's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Phytoplasmas and Hemiptera pathogens (8 papers) and Rice Cultivation and Yield Improvement (7 papers). Ming Huang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Phytoplasmas and Hemiptera pathogens (8 papers) and Rice Cultivation and Yield Improvement (7 papers). Ming Huang collaborates with scholars based in China, United States and India. Ming Huang's co-authors include Zhiqiang Chen, Xiuxin Deng, Qiang Xu, Frederick G. Gmitter, Qibin Yu, Wuming Xiao, Tao Guo, Yongzhu Liu, Guili Yang and Dongliang Du and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Oncogene.

In The Last Decade

Ming Huang

48 papers receiving 798 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Huang 588 309 147 85 59 48 812
Padma Nimmakayala 778 1.3× 298 1.0× 272 1.9× 77 0.9× 38 0.6× 61 1.0k
Weiwei Zhang 437 0.7× 539 1.7× 84 0.6× 54 0.6× 47 0.8× 44 830
Koeun Han 636 1.1× 259 0.8× 151 1.0× 26 0.3× 49 0.8× 40 809
Nan He 594 1.0× 390 1.3× 323 2.2× 83 1.0× 26 0.4× 46 934
Changchun Yu 624 1.1× 554 1.8× 106 0.7× 22 0.3× 26 0.4× 29 944
Yoshikazu Hoshi 585 1.0× 333 1.1× 236 1.6× 63 0.7× 72 1.2× 78 816
Biao Jiang 581 1.0× 372 1.2× 230 1.6× 91 1.1× 12 0.2× 60 850
James McCarthy 368 0.6× 642 2.1× 70 0.5× 66 0.8× 14 0.2× 32 1.0k
Robert J. Knight 459 0.8× 304 1.0× 33 0.2× 19 0.2× 74 1.3× 53 745
Xiaoming Yang 628 1.1× 473 1.5× 180 1.2× 22 0.3× 40 0.7× 49 855

Countries citing papers authored by Ming Huang

Since Specialization
Citations

This map shows the geographic impact of Ming Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Huang more than expected).

Fields of papers citing papers by Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Huang. 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 Huang. The network helps show where Ming Huang may publish in the future.

Co-authorship network of co-authors of Ming Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Huang. A scholar is included among the top collaborators of Ming Huang 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 Huang. Ming Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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