Yanlong Song

41 total papers · 684 total citations
37 papers, 507 citations indexed

About

Yanlong Song is a scholar working on Genetics, Physiology and Aquatic Science. According to data from OpenAlex, Yanlong Song has authored 37 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 15 papers in Physiology and 8 papers in Aquatic Science. Recurrent topics in Yanlong Song's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers), Reproductive biology and impacts on aquatic species (15 papers) and Animal Genetics and Reproduction (12 papers). Yanlong Song is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers), Reproductive biology and impacts on aquatic species (15 papers) and Animal Genetics and Reproduction (12 papers). Yanlong Song collaborates with scholars based in China, Macao and United States. Yanlong Song's co-authors include Wei Hu, Zuoyan Zhu, Pin Nie, Binbin Tao, Bo Sun, Hongguo Xie, Yongming Li, Ji Chen, Yaping Wang and Weichao Yao and has published in prestigious journals such as Cancer Research, Endocrinology and Neuropsychologia.

In The Last Decade

Yanlong Song

30 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Yanlong Song 200 133 131 118 106 37 507
Huixian Zhang 94 0.5× 73 0.5× 160 1.2× 58 0.5× 265 2.5× 47 556
Haifa Zhang 290 1.4× 158 1.2× 83 0.6× 223 1.9× 208 2.0× 40 602
Giovanni Chieffi 126 0.6× 40 0.3× 75 0.6× 200 1.7× 67 0.6× 36 583
Takashi Suyemitsu 64 0.3× 58 0.4× 234 1.8× 36 0.3× 182 1.7× 39 591
Jane C. Kaltenbach 44 0.2× 53 0.4× 139 1.1× 40 0.3× 38 0.4× 34 488
Chun Peng 52 0.3× 128 1.0× 183 1.4× 100 0.8× 86 0.8× 28 611
Yung-Sen Huang 112 0.6× 82 0.6× 51 0.4× 280 2.4× 228 2.2× 35 600
Angélique Vétillard 268 1.3× 32 0.2× 73 0.6× 120 1.0× 52 0.5× 26 558
Bruno Louro 257 1.3× 138 1.0× 135 1.0× 43 0.4× 191 1.8× 30 501
Sylvia V.H. Grommen 133 0.7× 42 0.3× 115 0.9× 42 0.4× 61 0.6× 31 501

Countries citing papers authored by Yanlong Song

Since Specialization
Citations

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

Fields of papers citing papers by Yanlong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlong Song. A scholar is included among the top collaborators of Yanlong 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 Yanlong Song. Yanlong 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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2026