Song Daxiang

110 total papers · 1.1k total citations
67 papers, 939 citations indexed

About

Song Daxiang is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Song Daxiang has authored 67 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 32 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Molecular Biology. Recurrent topics in Song Daxiang's work include Spider Taxonomy and Behavior Studies (42 papers), Lepidoptera: Biology and Taxonomy (29 papers) and Orthoptera Research and Taxonomy (11 papers). Song Daxiang is often cited by papers focused on Spider Taxonomy and Behavior Studies (42 papers), Lepidoptera: Biology and Taxonomy (29 papers) and Orthoptera Research and Taxonomy (11 papers). Song Daxiang collaborates with scholars based in China, United States and Taiwan. Song Daxiang's co-authors include Kaiya Zhou, Ming-Sheng Zhu, Hongying Sun, Jun Chen, Ming-Sheng Zhu, Yonghua Gai, Jia‐Yong Zhang, Chang-Fa Zhou, Bo‐Ping Tang and Guang Yang and has published in prestigious journals such as Gene, Molecular Phylogenetics and Evolution and Journal of Molecular Evolution.

In The Last Decade

Song Daxiang

62 papers receiving 868 citations

Author Peers

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

Author						Papers	Cites
Song Daxiang	606	383	287	221	111	67	939
Michael S. Brewer	618 1.0×	311 0.8×	346 1.2×	190 0.9×	85 0.8×	42	1.0k
James Starrett	538 0.9×	321 0.8×	219 0.8×	179 0.8×	79 0.7×	35	895
Carlos E. Santibáñez‐López	658 1.1×	497 1.3×	118 0.4×	83 0.4×	188 1.7×	50	936
Xuming Zhou	261 0.4×	380 1.0×	146 0.5×	257 1.2×	55 0.5×	71	952
Jesús A. Ballesteros	468 0.8×	393 1.0×	185 0.6×	111 0.5×	126 1.1×	22	835
Peter Arensburger	264 0.4×	532 1.4×	249 0.9×	220 1.0×	62 0.6×	30	1.1k
Arong Luo	485 0.8×	408 1.1×	353 1.2×	216 1.0×	84 0.8×	45	1.1k
Matthias Pechmann	445 0.7×	721 1.9×	211 0.7×	62 0.3×	210 1.9×	34	1.1k
Hon‐Tsen Yu	423 0.7×	303 0.8×	231 0.8×	316 1.4×	102 0.9×	52	1.1k
Xiaomao Zeng	450 0.7×	425 1.1×	241 0.8×	173 0.8×	482 4.3×	75	971

Countries citing papers authored by Song Daxiang

Since Specialization

Citations

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

Fields of papers citing papers by Song Daxiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Daxiang

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