Yingli Song

34 total papers · 567 total citations
25 papers, 480 citations indexed

About

Yingli Song is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Yingli Song has authored 25 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 7 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Yingli Song's work include Streptococcal Infections and Treatments (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Neonatal and Maternal Infections (6 papers). Yingli Song is often cited by papers focused on Streptococcal Infections and Treatments (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Neonatal and Maternal Infections (6 papers). Yingli Song collaborates with scholars based in China, United States and Canada. Yingli Song's co-authors include Shuhua Xi, Hongbo Jin, Hui Zhu, Yurong Li, Guifan Sun, Yongchun Zhang, Shengnan Liu, Shengnan Liu, Xiaolan Zhang and Changgui Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Nature Protocols and Infection and Immunity.

In The Last Decade

Yingli Song

25 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Yingli Song 167 87 70 62 61 25 480
Walter L. Gabler 121 0.7× 31 0.4× 41 0.6× 132 2.1× 13 0.2× 34 526
Wenyuan Li 210 1.3× 107 1.2× 42 0.6× 54 0.9× 20 0.3× 43 483
Xiaolin Tian 251 1.5× 33 0.4× 31 0.4× 35 0.6× 25 0.4× 27 544
Pan Su 213 1.3× 33 0.4× 70 1.0× 32 0.5× 28 0.5× 27 405
Lakshmanan Jagannathan 239 1.4× 58 0.7× 65 0.9× 42 0.7× 33 0.5× 18 539
Mansi Srivastava 167 1.0× 46 0.5× 49 0.7× 122 2.0× 43 0.7× 26 426
Harinda Rajapaksha 240 1.4× 150 1.7× 39 0.6× 78 1.3× 65 1.1× 25 534
Sha Chen 189 1.1× 97 1.1× 78 1.1× 98 1.6× 6 0.1× 14 455
Meijuan Meng 186 1.1× 28 0.3× 78 1.1× 33 0.5× 13 0.2× 41 488
Qiulin Xu 166 1.0× 85 1.0× 63 0.9× 37 0.6× 11 0.2× 35 439

Countries citing papers authored by Yingli Song

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Song

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