Gaodao Liang

22 total papers · 832 total citations
20 papers, 707 citations indexed

About

Gaodao Liang is a scholar working on Oceanography, Environmental Chemistry and Ecology. According to data from OpenAlex, Gaodao Liang has authored 20 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oceanography, 14 papers in Environmental Chemistry and 4 papers in Ecology. Recurrent topics in Gaodao Liang's work include Marine and coastal ecosystems (14 papers), Aquatic Ecosystems and Phytoplankton Dynamics (13 papers) and Marine Toxins and Detection Methods (7 papers). Gaodao Liang is often cited by papers focused on Marine and coastal ecosystems (14 papers), Aquatic Ecosystems and Phytoplankton Dynamics (13 papers) and Marine Toxins and Detection Methods (7 papers). Gaodao Liang collaborates with scholars based in China, United States and Czechia. Gaodao Liang's co-authors include Ping Xie, Jun Chen, Qing Wang, Jun Chen, Ming Dai, Dawen Zhang, Xuwei Deng, Hehua Lei, Ping Xie and Min Qi and has published in prestigious journals such as Environmental Science & Technology, Chemosphere and Journal of Chromatography A.

In The Last Decade

Gaodao Liang

19 papers receiving 694 citations

Author Peers

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

Author Last Decade Papers Cites
Gaodao Liang 477 299 140 130 118 20 707
Milena Bruno 581 1.2× 376 1.3× 217 1.6× 112 0.9× 105 0.9× 28 752
Zhimei Ma 473 1.0× 317 1.1× 220 1.6× 92 0.7× 86 0.7× 12 665
George Izaguirre 554 1.2× 199 0.7× 153 1.1× 181 1.4× 178 1.5× 16 910
S. L. Kenefick 534 1.1× 282 0.9× 159 1.1× 145 1.1× 123 1.0× 14 713
Cintia Flores 572 1.2× 183 0.6× 77 0.6× 245 1.9× 60 0.5× 33 873
Christian Moldaenke 336 0.7× 441 1.5× 231 1.6× 72 0.6× 71 0.6× 21 832
Min Tao 404 0.8× 286 1.0× 258 1.8× 68 0.5× 79 0.7× 29 651
Laiyan Wu 308 0.6× 178 0.6× 92 0.7× 80 0.6× 96 0.8× 24 667
Peter Backlund 288 0.6× 255 0.9× 131 0.9× 248 1.9× 78 0.7× 19 765
Tina Eleršek 277 0.6× 136 0.5× 79 0.6× 128 1.0× 127 1.1× 32 656

Countries citing papers authored by Gaodao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Gaodao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaodao Liang

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