Rubing Liang

59 total papers · 979 total citations
47 papers, 767 citations indexed

About

Rubing Liang is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, Rubing Liang has authored 47 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Pollution and 9 papers in Ecology. Recurrent topics in Rubing Liang's work include Microbial bioremediation and biosurfactants (12 papers), Steroid Chemistry and Biochemistry (10 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Rubing Liang is often cited by papers focused on Microbial bioremediation and biosurfactants (12 papers), Steroid Chemistry and Biochemistry (10 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Rubing Liang collaborates with scholars based in China, United States and Poland. Rubing Liang's co-authors include Jianhua Liu, Xinze Wang, Shengbo Zhang, Jian Shen, Xiaojuan He, Jian–Hua Liu, Huan Liu, Zixin Deng, Shuangjun Lin and Jing Xu and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Rubing Liang

40 papers receiving 763 citations

Author Peers

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

Author						Papers	Cites
Rubing Liang	429	336	179	121	120	47	767
Long Zhang	450 1.0×	177 0.5×	104 0.6×	96 0.8×	23 0.2×	30	799
Katalin Perei	364 0.8×	210 0.6×	150 0.8×	78 0.6×	100 0.8×	30	801
Chi-Kyung Kim	306 0.7×	343 1.0×	116 0.6×	84 0.7×	17 0.1×	73	696
V. Brenner	469 1.1×	239 0.7×	177 1.0×	125 1.0×	21 0.2×	20	661
Madeline E. Rasche	279 0.7×	396 1.2×	93 0.5×	98 0.8×	49 0.4×	34	889
Zunji Shi	132 0.3×	302 0.9×	140 0.8×	161 1.3×	20 0.2×	46	872
S. Łabużek	495 1.2×	197 0.6×	92 0.5×	150 1.2×	33 0.3×	41	734
Tongwang Huang	526 1.2×	251 0.7×	199 1.1×	260 2.1×	14 0.1×	29	807
Ana Bielen	315 0.7×	212 0.6×	232 1.3×	150 1.2×	34 0.3×	42	898
Guannan Mao	422 1.0×	213 0.6×	291 1.6×	176 1.5×	49 0.4×	31	777

Countries citing papers authored by Rubing Liang

Since Specialization

Citations

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

Fields of papers citing papers by Rubing Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubing Liang

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