Bijia Song

30 total papers · 704 total citations
27 papers, 490 citations indexed

About

Bijia Song is a scholar working on Cognitive Neuroscience, Surgery and Anesthesiology and Pain Medicine. According to data from OpenAlex, Bijia Song has authored 27 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Surgery and 8 papers in Anesthesiology and Pain Medicine. Recurrent topics in Bijia Song's work include Sleep and Wakefulness Research (9 papers), Anesthesia and Sedative Agents (8 papers) and Sleep and related disorders (6 papers). Bijia Song is often cited by papers focused on Sleep and Wakefulness Research (9 papers), Anesthesia and Sedative Agents (8 papers) and Sleep and related disorders (6 papers). Bijia Song collaborates with scholars based in China, South Korea and United States. Bijia Song's co-authors include Junchao Zhu, Bon‐Nyeo Koo, So Yeon Kim, Jae Hoon Lee, Jeongmin Kim, Man Luo, Yilin Zhao, Xiuyan Li, Ming Zhou and Yuanyuan Chang and has published in prestigious journals such as Frontiers in Psychology, The Annals of Thoracic Surgery and British Journal of Anaesthesia.

In The Last Decade

Bijia Song

27 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Bijia Song 184 143 119 106 93 27 490
M Kudo 181 1.0× 103 0.7× 68 0.6× 53 0.5× 136 1.5× 46 523
E. Nuotto 135 0.7× 76 0.5× 51 0.4× 58 0.5× 82 0.9× 21 451
Luciana Paula Cadore Stefani 188 1.0× 169 1.2× 62 0.5× 16 0.2× 40 0.4× 43 546
Melissa Patxot 159 0.9× 60 0.4× 222 1.9× 48 0.5× 54 0.6× 11 425
Hiroshi Katagai 118 0.6× 87 0.6× 133 1.1× 19 0.2× 16 0.2× 34 526
Elif Başgül 145 0.8× 162 1.1× 130 1.1× 25 0.2× 20 0.2× 27 428
Vicki J. Foster 154 0.8× 80 0.6× 27 0.2× 98 0.9× 15 0.2× 15 513
Marian Petersen 50 0.3× 55 0.4× 47 0.4× 43 0.4× 56 0.6× 22 426
Kaiming Duan 76 0.4× 62 0.4× 159 1.3× 16 0.2× 20 0.2× 34 548
M. Herbert 49 0.3× 61 0.4× 33 0.3× 37 0.3× 29 0.3× 16 457

Countries citing papers authored by Bijia Song

Since Specialization
Citations

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

Fields of papers citing papers by Bijia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bijia Song

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