Weiwei Song

67 total papers · 419 total citations
40 papers, 265 citations indexed

About

Weiwei Song is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weiwei Song has authored 40 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weiwei Song's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Asthma and respiratory diseases (4 papers). Weiwei Song is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Asthma and respiratory diseases (4 papers). Weiwei Song collaborates with scholars based in China, Japan and United States. Weiwei Song's co-authors include Huan Lu, Zhigang Zhang, Guangdong Yang, Rong Zhang, Jun Li, Xiaomei Yang, Linyan Zhu, Cancan Zhang, Xiaoping Lin and Guenther Boden and has published in prestigious journals such as Cancer Letters, International Journal of Biological Macromolecules and Medicine.

In The Last Decade

Weiwei Song

34 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Weiwei Song	103	40	36	35	30	40	265
Jing Zhu	91 0.9×	32 0.8×	22 0.6×	34 1.0×	14 0.5×	32	276
Agnieszka Malińska	83 0.8×	40 1.0×	43 1.2×	22 0.6×	42 1.4×	45	331
Wen Ji	120 1.2×	30 0.8×	11 0.3×	38 1.1×	37 1.2×	48	332
Yong Chen	81 0.8×	31 0.8×	11 0.3×	33 0.9×	16 0.5×	36	269
Tong Wang	83 0.8×	70 1.8×	15 0.4×	59 1.7×	32 1.1×	34	329
Li Ding	115 1.1×	32 0.8×	12 0.3×	23 0.7×	34 1.1×	38	250
Xi Wang	72 0.7×	87 2.2×	12 0.3×	21 0.6×	63 2.1×	33	263
Edith Gaton	45 0.4×	5 0.1×	29 0.8×	51 1.5×	12 0.4×	28	318
Kai Kang	122 1.2×	18 0.5×	17 0.5×	52 1.5×	35 1.2×	32	321
Mirela Gherghe	26 0.3×	82 2.0×	7 0.2×	15 0.4×	36 1.2×	38	253

Countries citing papers authored by Weiwei Song

Since Specialization

Citations

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

Fields of papers citing papers by Weiwei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Song

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