Song Dong

786 total citations
11 papers, 519 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 519 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 Poland. Song Dong's co-authors include Zhan Gao, Kingman P. Strohl, Emmanuel Mignot, Pei An, Long Zhao, Yan Han, Ling Lin, Fang Han, Jing Li and Juliette Faraco and has published in prestigious journals such as Annals of Neurology, Clinical Cancer Research and European Respiratory Journal.

In The Last Decade

Song Dong

10 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Song Dong China	8	393	308	221	71	58	11	519
Long Zhao China	9	399 1.0×	318 1.0×	202 0.9×	75 1.1×	65 1.1×	25	564
Fang Han China	7	326 0.8×	257 0.8×	173 0.8×	70 1.0×	52 0.9×	12	434
Tiina Wallden Finland	5	183 0.5×	141 0.5×	99 0.4×	102 1.4×	88 1.5×	7	449
Freek W. C. Roelandse Netherlands	7	204 0.5×	148 0.5×	159 0.7×	62 0.9×	54 0.9×	9	486
Ismo Ilveskoski Finland	7	191 0.5×	141 0.5×	97 0.4×	86 1.2×	37 0.6×	9	381
Pekka Nokelainen Finland	8	201 0.5×	149 0.5×	105 0.5×	82 1.2×	219 3.8×	15	584
Stefania Costa Italy	10	291 0.7×	135 0.4×	68 0.3×	67 0.9×	21 0.4×	19	465
Mihoko Shimada Japan	12	175 0.4×	147 0.5×	93 0.4×	25 0.4×	128 2.2×	27	386
Ziyi Peng China	14	180 0.5×	128 0.4×	29 0.1×	72 1.0×	142 2.4×	58	522
Masayuki Shimohira Japan	12	144 0.4×	54 0.2×	82 0.4×	35 0.5×	91 1.6×	49	410

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Zhang, Jia‐Tao, Si‐Yang Liu, Xuan Gao, et al.. (2025). Follow-up Analysis Enhances Understanding of Molecular Residual Disease in Localized Non–Small Cell Lung Cancer. Clinical Cancer Research. 31(7). 1305–1314. 1 indexed citations

2.

Hong, Hao, Yingqian Zhang, Mengmeng Song, et al.. (2025). Lung Cancer with Isolated Pleural Dissemination as a Potential ctDNA Non-Shedding Tumor Type. Cancers. 17(15). 2525–2525.

3.

Dong, Song, et al.. (2017). Genetic polymorphisms of NAT2 and risk of acute myeloid leukemia. Medicine. 96(42). e7499–e7499. 10 indexed citations

4.

Wang, Jing Yu, Fang Han, Song Dong, et al.. (2016). Cerebrospinal Fluid Orexin A Levels and Autonomic Function in Kleine-Levin Syndrome. SLEEP. 39(4). 855–860. 27 indexed citations

5.

Dong, Song, et al.. (2014). MTHFR gene polymorphism and risk of myeloid leukemia: a meta-analysis. Tumor Biology. 35(9). 8913–8919. 10 indexed citations

6.

Han, Fang, Liang‐In Lin, Song Dong, et al.. (2012). HLA‐DQ association and allele competition in Chinese narcolepsy. Tissue Antigens. 80(4). 328–335. 34 indexed citations

7.

Han, Fang, Ling Lin, Jing Li, et al.. (2011). Presentations of Primary Hypersomnia in Chinese Children. SLEEP. 34(5). 627–632. 37 indexed citations

8.

Han, Fang, Ling Lin, Simon C. Warby, et al.. (2011). Narcolepsy onset is seasonal and increased following the 2009 H1N1 pandemic in china. Annals of Neurology. 70(3). 410–417. 329 indexed citations

9.

Han, Fang, Ling Lin, Jing Li, et al.. (2011). TCRA, P2RY11, and CPT1B/CHKB associations in Chinese narcolepsy. Sleep Medicine. 13(3). 269–272. 37 indexed citations

10.

Han, Fang, Emmanuel Mignot, Yantao Wei, et al.. (2010). Ventilatory chemoresponsiveness, narcolepsy–cataplexy and human leukocyte antigen DQB1*0602 status. European Respiratory Journal. 36(3). 577–583. 32 indexed citations

11.

Dong, Song, et al.. (2008). [A clinical pathological study of thyroid nodules detected by physical examinations].. PubMed. 47(3). 189–92. 2 indexed citations

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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