Benru Song

24 total papers · 941 total citations
21 papers, 758 citations indexed

About

Benru Song is a scholar working on Pollution, Ecology and Environmental Chemistry. According to data from OpenAlex, Benru Song has authored 21 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pollution, 9 papers in Ecology and 7 papers in Environmental Chemistry. Recurrent topics in Benru Song's work include Microbial Community Ecology and Physiology (7 papers), Heavy metals in environment (6 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Benru Song is often cited by papers focused on Microbial Community Ecology and Physiology (7 papers), Heavy metals in environment (6 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Benru Song collaborates with scholars based in China, Canada and Pakistan. Benru Song's co-authors include Jingchun Tang, Meinan Zhen, Honghong Lyu, Xiaomei Liu, Shuai Zhang, Xiaomei Liu, Hanzhi Lin, Xiaoxu Sun, Rui Xu and Pin Gao and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Benru Song

21 papers receiving 749 citations

Author Peers

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

Author						Papers	Cites
Benru Song	313	209	207	153	122	21	758
Somdeep Ghosh	264 0.8×	223 1.1×	137 0.7×	171 1.1×	71 0.6×	27	820
Xiaozhe Zhu	202 0.6×	200 1.0×	162 0.8×	73 0.5×	149 1.2×	22	629
Xiaoxin Hu	388 1.2×	252 1.2×	136 0.7×	76 0.5×	123 1.0×	22	723
Zheng Hao	220 0.7×	168 0.8×	69 0.3×	118 0.8×	111 0.9×	23	650
Maurice L. G. C. Luijten	345 1.1×	174 0.8×	147 0.7×	126 0.8×	181 1.5×	9	817
Xuehui Xie	180 0.6×	256 1.2×	331 1.6×	67 0.4×	154 1.3×	42	839
Yuxiu Zhang	226 0.7×	145 0.7×	94 0.5×	100 0.7×	80 0.7×	46	815
Huakang Liu	427 1.4×	172 0.8×	106 0.5×	126 0.8×	228 1.9×	34	836
Monika Priyadarshanee	352 1.1×	200 1.0×	126 0.6×	101 0.7×	306 2.5×	11	887
Genyi Wu	291 0.9×	114 0.5×	125 0.6×	63 0.4×	100 0.8×	29	826

Countries citing papers authored by Benru Song

Since Specialization

Citations

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

Fields of papers citing papers by Benru Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benru Song

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