Dahai Gao

60 total papers · 804 total citations
40 papers, 626 citations indexed

About

Dahai Gao is a scholar working on Molecular Biology, Oceanography and Plant Science. According to data from OpenAlex, Dahai Gao has authored 40 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Oceanography and 8 papers in Plant Science. Recurrent topics in Dahai Gao's work include Marine and coastal plant biology (12 papers), Aquaculture disease management and microbiota (4 papers) and Plant Molecular Biology Research (4 papers). Dahai Gao is often cited by papers focused on Marine and coastal plant biology (12 papers), Aquaculture disease management and microbiota (4 papers) and Plant Molecular Biology Research (4 papers). Dahai Gao collaborates with scholars based in China, Germany and Hong Kong. Dahai Gao's co-authors include Zhanhui Hou, Lingling Wang, Glenn Thorlby, Sarah G. Mugford, Marc R. Knight, Heather Knight, Bekir Ülker, Qiang Gao, Yun Shen and Bao‐Cai Tan and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and The Plant Journal.

In The Last Decade

Dahai Gao

36 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Dahai Gao 278 250 81 71 61 40 626
Jun Ding 281 1.0× 321 1.3× 117 1.4× 86 1.2× 54 0.9× 42 763
Ghislaine Magdelenat 222 0.8× 354 1.4× 37 0.5× 66 0.9× 71 1.2× 19 622
Yue Lin 223 0.8× 272 1.1× 37 0.5× 107 1.5× 58 1.0× 44 608
Yoshitake Orikasa 518 1.9× 122 0.5× 44 0.5× 40 0.6× 105 1.7× 33 786
Xiangzhi Lin 452 1.6× 75 0.3× 76 0.9× 52 0.7× 84 1.4× 39 750
Gabriele Amore 383 1.4× 154 0.6× 101 1.2× 25 0.4× 43 0.7× 21 641
Koushirou Suga 220 0.8× 89 0.4× 42 0.5× 68 1.0× 144 2.4× 37 558
Zhanru Shao 283 1.0× 133 0.5× 171 2.1× 73 1.0× 204 3.3× 36 764
Choong‐Gon Kim 251 0.9× 95 0.4× 83 1.0× 42 0.6× 110 1.8× 50 672
Yang Liu 214 0.8× 265 1.1× 53 0.7× 78 1.1× 111 1.8× 38 631

Countries citing papers authored by Dahai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Dahai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahai Gao

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