Xiaowei Song

1.2k citations
30 papers · 873 indexed · h-index 16
Topics
Bat Biology and Ecology Studies (4 papers)Genomics and Phylogenetic Studies (3 papers)Physiological and biochemical adaptations (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEFood Chemistry

In The Last Decade

Xiaowei Song

27 papers receiving 848 citations

Peers

Xiaowei Song
Comparison fields: 5 of 110
  • Ecology, Evolution, Behavior and Systematics 193
  • Geophysics 180
  • Ecology 156
  • Artificial Intelligence 148
  • Pathology and Forensic Medicine 144
Replace Anna Sadowska with:
Anna Sadowska Poland
Miaomiao Wang China
Andrew L. Thomas United States
Takumi Sato Japan
Shinichi KUME Japan
Ya Li China
Shiv M. Singh India
Michael G. Prior Canada
Azhar Abbas Khan Pakistan
Xiaowei Song relative to Anna Sadowska Poland Anna Sadowska's profile →
Citations per field
00.5×4.1×
Anna Sadowska · 1×
Citations per year

Countries citing papers authored by Xiaowei Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Song. A scholar is included among the top collaborators of Xiaowei 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 Xiaowei Song. Xiaowei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 3
6 36
7 8
8 149
9 44
10
Coevolution of Male and Female Response Preferences to Sexual Signals in Music Frogs
1
11 15
12 15
13 16
14 3
15 17
16 107
17 26
18 26
19 52
20 11

About Xiaowei Song

Xiaowei Song is a scholar working on Developmental Biology, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 873 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (4 papers), Genomics and Phylogenetic Studies (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Geophysics (180 citations), Biochemistry (66 citations) and Developmental Biology (22 citations). Xiaowei Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fritz Geiser, Gerhard Körtner, Yufeng Deng, Dejiang Ni, B.‐M. Wilke, Yu Song, Yu Wang, Panpan Liu, Pengcheng Zheng and Changjun Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

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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