Wen Song

32 total papers · 673 total citations
24 papers, 500 citations indexed

About

Wen Song is a scholar working on Molecular Biology, Ecology and Environmental Chemistry. According to data from OpenAlex, Wen Song has authored 24 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Ecology and 13 papers in Environmental Chemistry. Recurrent topics in Wen Song's work include Microbial Community Ecology and Physiology (22 papers), Protist diversity and phylogeny (21 papers) and Methane Hydrates and Related Phenomena (13 papers). Wen Song is often cited by papers focused on Microbial Community Ecology and Physiology (22 papers), Protist diversity and phylogeny (21 papers) and Methane Hydrates and Related Phenomena (13 papers). Wen Song collaborates with scholars based in China, Saudi Arabia and United Kingdom. Wen Song's co-authors include Alan Warren, Jun Gong, Xiaozhong Hu, Khaled A. S. Al‐Rasheid, Jiamei Li, Yang Bai, Lifang Li, Cheng Wang, Jiayin Zhou and Longfei Shu and has published in prestigious journals such as Frontiers in Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Molecular Phylogenetics and Evolution.

In The Last Decade

Wen Song

23 papers receiving 494 citations

Author Peers

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

Author						Papers	Cites
Wen Song	411	331	149	132	36	24	500
Yuri Galachyants	376 0.9×	258 0.8×	153 1.0×	85 0.6×	30 0.8×	32	538
B. C. Cho	411 1.0×	382 1.2×	78 0.5×	113 0.9×	34 0.9×	17	546
Darya P. Petrova	405 1.0×	279 0.8×	172 1.2×	93 0.7×	38 1.1×	40	596
Erika Arcadi	366 0.9×	236 0.7×	171 1.1×	69 0.5×	36 1.0×	21	482
Ty Samo	459 1.1×	187 0.6×	109 0.7×	279 2.1×	34 0.9×	24	600
Martha Hengst	317 0.8×	169 0.5×	74 0.5×	144 1.1×	45 1.3×	26	501
Manuela Hartmann	509 1.2×	278 0.8×	82 0.6×	371 2.8×	37 1.0×	17	617
Ina Severin	433 1.1×	217 0.7×	114 0.8×	233 1.8×	89 2.5×	15	577
I. A. Bryantseva	426 1.0×	365 1.1×	169 1.1×	104 0.8×	44 1.2×	32	579
Chong Kim Wong	406 1.0×	202 0.6×	97 0.7×	162 1.2×	43 1.2×	19	568

Countries citing papers authored by Wen Song

Since Specialization

Citations

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

Fields of papers citing papers by Wen Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Song

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