Ming‐Qing Gao

50 total papers · 1.4k total citations
41 papers, 1.1k citations indexed

About

Ming‐Qing Gao is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Ming‐Qing Gao has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Agronomy and Crop Science and 10 papers in Genetics. Recurrent topics in Ming‐Qing Gao's work include Milk Quality and Mastitis in Dairy Cows (11 papers), Cancer-related molecular mechanisms research (8 papers) and Animal Genetics and Reproduction (8 papers). Ming‐Qing Gao is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (11 papers), Cancer-related molecular mechanisms research (8 papers) and Animal Genetics and Reproduction (8 papers). Ming‐Qing Gao collaborates with scholars based in China, United States and South Korea. Ming‐Qing Gao's co-authors include Yong Zhang, Xueru Li, Xixi Wang, Jiaxin Feng, Yifei Pei, Yuchuan Ding, Chang­hong Ren, Xianwei Zeng, Yong Zhang and Xunming Ji and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Ming‐Qing Gao

41 papers receiving 1.1k 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‐Qing Gao 533 333 164 161 154 41 1.1k
Yan Liu 562 1.1× 216 0.6× 118 0.7× 59 0.4× 134 0.9× 42 1.4k
Ting Xin 588 1.1× 156 0.5× 299 1.8× 198 1.2× 64 0.4× 43 1.3k
Yulin Xu 645 1.2× 176 0.5× 111 0.7× 102 0.6× 99 0.6× 70 1.3k
Chong Li 418 0.8× 205 0.6× 259 1.6× 146 0.9× 54 0.4× 55 997
Qi Ma 681 1.3× 237 0.7× 219 1.3× 33 0.2× 117 0.8× 51 1.4k
E. Duda 617 1.2× 156 0.5× 131 0.8× 44 0.3× 134 0.9× 76 1.4k
Carolina de la Torre 864 1.6× 190 0.6× 103 0.6× 37 0.2× 151 1.0× 54 1.5k
Anne Cornet 268 0.5× 151 0.5× 106 0.6× 70 0.4× 402 2.6× 39 1.2k
Xiao‐Yuan Wu 603 1.1× 156 0.5× 148 0.9× 187 1.2× 290 1.9× 64 1.4k
Yong Ko 505 0.9× 83 0.2× 94 0.6× 104 0.6× 169 1.1× 56 1.3k

Countries citing papers authored by Ming‐Qing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Qing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Qing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Qing Gao. A scholar is included among the top collaborators of Ming‐Qing Gao 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‐Qing Gao. Ming‐Qing Gao 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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