Song Dong

43 total papers · 781 total citations
11 papers, 517 citations indexed

About

Song Dong is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Song Dong has authored 11 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Molecular Biology. Recurrent topics in Song Dong's work include Sleep and Wakefulness Research (6 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (3 papers). Song Dong is often cited by papers focused on Sleep and Wakefulness Research (6 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (3 papers). Song Dong collaborates with scholars based in China, United States and Russia. Song Dong's co-authors include Kingman P. Strohl, Zhan Gao, Emmanuel Mignot, Pei An, Long Zhao, Yan Han, Fang Han, Jing Li, Ling Lin and Simon C. Warby and has published in prestigious journals such as Annals of Neurology, Clinical Cancer Research and European Respiratory Journal.

In The Last Decade

Song Dong

9 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Song Dong 392 306 221 71 58 11 517
Long Zhao 397 1.0× 315 1.0× 201 0.9× 75 1.1× 64 1.1× 25 561
Tiina Wallden 182 0.5× 140 0.5× 98 0.4× 102 1.4× 88 1.5× 7 448
Freek W. C. Roelandse 202 0.5× 147 0.5× 158 0.7× 62 0.9× 54 0.9× 9 484
James M. Clinton 320 0.8× 217 0.7× 229 1.0× 16 0.2× 81 1.4× 11 575
Pekka Nokelainen 200 0.5× 148 0.5× 104 0.5× 82 1.2× 219 3.8× 15 583
Stefania Costa 291 0.7× 136 0.4× 68 0.3× 67 0.9× 21 0.4× 19 463
Kathryn A. Jewett 280 0.7× 188 0.6× 186 0.8× 35 0.5× 131 2.3× 13 599
Micah Romer 289 0.7× 167 0.5× 296 1.3× 23 0.3× 63 1.1× 10 605
Hélène De Leersnyder 203 0.5× 148 0.5× 159 0.7× 19 0.3× 108 1.9× 22 581
Karen A. Kelly 154 0.4× 189 0.6× 305 1.4× 20 0.3× 26 0.4× 9 492

Countries citing papers authored by Song Dong

Since Specialization
Citations

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

Fields of papers citing papers by Song Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Dong

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