Lijiang Song

142 total papers · 6.1k total citations
105 papers, 4.5k citations indexed

About

Lijiang Song is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Lijiang Song has authored 105 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 48 papers in Pharmacology and 21 papers in Organic Chemistry. Recurrent topics in Lijiang Song's work include Microbial Natural Products and Biosynthesis (46 papers), Genomics and Phylogenetic Studies (16 papers) and Plant biochemistry and biosynthesis (10 papers). Lijiang Song is often cited by papers focused on Microbial Natural Products and Biosynthesis (46 papers), Genomics and Phylogenetic Studies (16 papers) and Plant biochemistry and biosynthesis (10 papers). Lijiang Song collaborates with scholars based in United Kingdom, China and United States. Lijiang Song's co-authors include Gregory L. Challis, Paul J. Thornalley, Christophe Corre, Bertrand Aigle, Pierre Leblond, Nadia Kadi, Kevin E. Eboigbodin, Darin Dobler, Naila Ahmed and Mervyn J. Bibb and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Lijiang Song

99 papers receiving 4.4k citations

Hit Papers

Dihydroartemisinin–pipera... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lijiang Song 2.3k 1.6k 806 721 599 105 4.5k
Lutz Heide 4.3k 1.9× 3.0k 1.9× 1.0k 1.3× 896 1.2× 412 0.7× 173 6.4k
W. David Nes 3.8k 1.6× 1.1k 0.7× 786 1.0× 951 1.3× 557 0.9× 196 6.3k
Deniz Taşdemir 2.1k 0.9× 1.0k 0.6× 1.2k 1.5× 1.3k 1.7× 670 1.1× 183 5.5k
Roger G. Linington 3.7k 1.6× 2.5k 1.6× 947 1.2× 412 0.6× 212 0.4× 115 6.2k
Mark S. Butler 3.7k 1.6× 2.3k 1.4× 2.1k 2.6× 783 1.1× 210 0.4× 146 8.7k
Hans‐Martin Dahse 1.4k 0.6× 1.4k 0.9× 1.2k 1.5× 638 0.9× 164 0.3× 148 4.3k
José R. Tormo 1.9k 0.8× 959 0.6× 420 0.5× 682 0.9× 188 0.3× 142 5.1k
Pallu Reddanna 2.4k 1.0× 861 0.5× 884 1.1× 600 0.8× 215 0.4× 190 5.9k
Marc Litaudon 3.4k 1.5× 1.3k 0.8× 1.2k 1.5× 1.5k 2.1× 467 0.8× 262 6.3k
MASANOBU KOHSAKA 3.0k 1.3× 1.5k 0.9× 1.6k 2.0× 258 0.4× 286 0.5× 138 5.9k

Countries citing papers authored by Lijiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Lijiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijiang Song

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