Xiuling Song

1.8k citations
63 papers · 1.5k · h-index 25

Impact in

Papers in

Xiuling Song

59 papers receiving 1.5k citations

Peers

Xiuling Song
Comparison fields: 5 of 105
  • Endocrinology 109
  • Biomedical Engineering 903
  • Molecular Biology 871
  • Small Animals 72
  • Infectious Diseases 172
Replace Yushen Liu with:
Yushen Liu China
Nadezhda A. Byzova Russia
Sylvain Orenga France
Ian J. MacDonald United States
Stephen Hearty Ireland
Seung Won Shin South Korea
Wenchao Dou China
Daofeng Liu China
Leina Dou China
Feng Shi China
Xiuling Song relative to Yushen Liu China Yushen Liu's profile →
Citations per field
00.5×3.2×
Yushen Liu · 1×
Citations per year

Countries citing papers authored by Xiuling Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiuling Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiuling Song Line = papers co-authored together Xiuling Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 201975
3 202064
4 201862
5 201862
6 201853
7 202148
8 201845
9 201741
10 201741
11 201940
12 201740
13 202038
14 201637
15 202034
16 201232
17 201731
18 201729
19 202028
20 201927

About Xiuling Song

Xiuling Song is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Endocrinology and Epidemiology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (29 papers), Advanced biosensing and bioanalysis techniques (14 papers), Advanced Nanomaterials in Catalysis (10 papers), Vibrio bacteria research studies (9 papers), Brucella: diagnosis, epidemiology, treatment (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Aquaculture disease management and microbiota (6 papers) and Burkholderia infections and melioidosis (4 papers). The work is most often cited by research in Endocrinology (109 citations), Biomedical Engineering (903 citations), Molecular Biology (871 citations), Small Animals (72 citations) and Infectious Diseases (172 citations). Xiuling Song has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Kun Xu, Chao Zhao, Juan Wang, Bo Pang, Juan Li, Yushen Liu, Kaiyue Fu, Li Li, Shuo Yao and Dandan Song. Their work appears in journals such as Microchimica Acta, Analytical Biochemistry, Analytica Chimica Acta, Microchemical Journal and Molecular Neurobiology.

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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