Jun‐Rong Song

42 total papers · 479 total citations
32 papers, 371 citations indexed

About

Jun‐Rong Song is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Jun‐Rong Song has authored 32 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 8 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Jun‐Rong Song's work include Catalytic C–H Functionalization Methods (15 papers), Oxidative Organic Chemistry Reactions (10 papers) and Radical Photochemical Reactions (6 papers). Jun‐Rong Song is often cited by papers focused on Catalytic C–H Functionalization Methods (15 papers), Oxidative Organic Chemistry Reactions (10 papers) and Radical Photochemical Reactions (6 papers). Jun‐Rong Song collaborates with scholars based in China, United States and Poland. Jun‐Rong Song's co-authors include Weidong Pan, Hai Ren, R. P. Joshi, Karl H. Schoenbach, Jun Shi, Zhiyao Li, Wei Wu, Yaacov Ben‐David, Chao Chen and Xueyi Zeng and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Agricultural and Food Chemistry and ACS Catalysis.

In The Last Decade

Jun‐Rong Song

27 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Jun‐Rong Song 195 89 63 57 44 32 371
Chi Ming Lee 154 0.8× 127 1.4× 11 0.2× 50 0.9× 28 0.6× 21 357
Lothar Kopanski 145 0.7× 99 1.1× 46 0.7× 85 1.5× 32 0.7× 19 410
Darı́o A. Bianchi 207 1.1× 173 1.9× 28 0.4× 42 0.7× 39 0.9× 25 381
C. H. Kuo 175 0.9× 121 1.4× 26 0.4× 63 1.1× 86 2.0× 24 412
Chiara Cassiano 63 0.3× 188 2.1× 45 0.7× 69 1.2× 22 0.5× 32 422
Atef G. Hanna 106 0.5× 171 1.9× 60 1.0× 78 1.4× 13 0.3× 37 426
Max M. Marsh 138 0.7× 185 2.1× 24 0.4× 76 1.3× 17 0.4× 26 434
Paratchata Batsomboon 293 1.5× 151 1.7× 19 0.3× 30 0.5× 8 0.2× 28 433
Tikam C. Jain 132 0.7× 226 2.5× 21 0.3× 43 0.8× 73 1.7× 31 441
Nihar Kinarivala 128 0.7× 186 2.1× 8 0.1× 36 0.6× 37 0.8× 18 423

Countries citing papers authored by Jun‐Rong Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Rong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Rong Song

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