Yunlong Song

57 total papers · 1.5k total citations
43 papers, 1.2k citations indexed

About

Yunlong Song is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Yunlong Song has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Pharmacology and 8 papers in Organic Chemistry. Recurrent topics in Yunlong Song's work include Microbial Natural Products and Biosynthesis (8 papers), Synthesis and biological activity (6 papers) and Analytical Chemistry and Chromatography (6 papers). Yunlong Song is often cited by papers focused on Microbial Natural Products and Biosynthesis (8 papers), Synthesis and biological activity (6 papers) and Analytical Chemistry and Chromatography (6 papers). Yunlong Song collaborates with scholars based in China, United States and Hong Kong. Yunlong Song's co-authors include Youjun Zhou, Wannian Zhang, Haitao Ji, Jü Zhu, Jiaguo Lü, Jie Zhu, Min Zhang, Chunquan Sheng, Tailong Lei and Dan Li and has published in prestigious journals such as The Journal of Physical Chemistry B, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yunlong Song

42 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Yunlong Song 467 466 237 173 160 43 1.2k
Anna Ramunno 369 0.8× 540 1.2× 161 0.7× 111 0.6× 86 0.5× 41 1.3k
Bernhard Ellinger 295 0.6× 770 1.7× 92 0.4× 165 1.0× 68 0.4× 39 1.4k
Jawahar Lal 397 0.9× 398 0.9× 98 0.4× 140 0.8× 80 0.5× 83 1.5k
Rajesh B. Patil 253 0.5× 434 0.9× 151 0.6× 91 0.5× 258 1.6× 89 1.2k
Prashant Joshi 367 0.8× 620 1.3× 95 0.4× 309 1.8× 91 0.6× 61 1.4k
Shabana I. Khan 507 1.1× 267 0.6× 150 0.6× 127 0.7× 127 0.8× 29 1.0k
Iris L. K. Wong 276 0.6× 509 1.1× 184 0.8× 101 0.6× 48 0.3× 48 1.3k
Marco Persico 522 1.1× 586 1.3× 82 0.3× 243 1.4× 183 1.1× 59 1.4k
Nicolas Willand 409 0.9× 605 1.3× 411 1.7× 119 0.7× 134 0.8× 57 1.2k
Tulika Bhardwaj 322 0.7× 645 1.4× 75 0.3× 85 0.5× 118 0.7× 74 1.3k

Countries citing papers authored by Yunlong Song

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Song

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