Ya Gao

31 total papers · 466 total citations
29 papers, 359 citations indexed

About

Ya Gao is a scholar working on Water Science and Technology, Environmental Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ya Gao has authored 29 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 7 papers in Environmental Chemistry and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ya Gao's work include Adsorption and biosorption for pollutant removal (9 papers), Geological formations and processes (6 papers) and Geological and Geophysical Studies (5 papers). Ya Gao is often cited by papers focused on Adsorption and biosorption for pollutant removal (9 papers), Geological formations and processes (6 papers) and Geological and Geophysical Studies (5 papers). Ya Gao collaborates with scholars based in China, United Kingdom and Canada. Ya Gao's co-authors include Chuanping Feng, Miao Li, Nan Chen, Zhenya Zhang, Norío Sugiura, Jianzhuo Yan, Yuqi Zhang, Yi Qu, Le Wang and Yaping Zhang and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Ya Gao

25 papers receiving 353 citations

Author Peers

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

Author Last Decade Papers Cites
Ya Gao 175 90 85 59 35 29 359
Jiahao Chen 122 0.7× 29 0.3× 45 0.5× 30 0.5× 37 1.1× 24 319
Peicong Li 65 0.4× 129 1.4× 41 0.5× 39 0.7× 11 0.3× 12 347
Ziyu Li 215 1.2× 48 0.5× 67 0.8× 13 0.2× 42 1.2× 17 392
A. Parker 73 0.4× 41 0.5× 32 0.4× 17 0.3× 7 0.2× 14 392
Zhilin Zhang 196 1.1× 55 0.6× 49 0.6× 43 0.7× 5 0.1× 28 329
Thomas F. Bates 42 0.2× 36 0.4× 72 0.8× 47 0.8× 16 0.5× 23 386
Rabelani Mudzielwana 223 1.3× 51 0.6× 35 0.4× 27 0.5× 16 0.5× 35 402
Shichao Ji 107 0.6× 24 0.3× 72 0.8× 114 1.9× 17 0.5× 17 326
Lúcia Helena Gomes Coelho 101 0.6× 76 0.8× 32 0.4× 35 0.6× 32 0.9× 34 393
Xiaoyin Niu 165 0.9× 70 0.8× 35 0.4× 21 0.4× 21 0.6× 21 331

Countries citing papers authored by Ya Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ya Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Gao

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