Fang Song

866 total citations
81 papers, 625 citations indexed

About

Fang Song is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Fang Song has authored 81 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 31 papers in Genetics and 15 papers in Surgery. Recurrent topics in Fang Song's work include Neurogenetic and Muscular Disorders Research (30 papers), RNA modifications and cancer (28 papers) and RNA Research and Splicing (13 papers). Fang Song is often cited by papers focused on Neurogenetic and Muscular Disorders Research (30 papers), RNA modifications and cancer (28 papers) and RNA Research and Splicing (13 papers). Fang Song collaborates with scholars based in China, United States and Japan. Fang Song's co-authors include Yu-jin Qu, Yuwei Jin, Jin-li Bai, Hong Wang, Hong Wang, Ting Zhang, Zhijun Niu, Xiaoying Zheng, Wenqiang Yang and Wenhui Zhang and has published in prestigious journals such as Chemical Engineering Journal, Small and Human Molecular Genetics.

In The Last Decade

Fang Song

77 papers receiving 622 citations

Peers

Countries citing papers authored by Fang Song

Since Specialization

Citations

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

Fields of papers citing papers by Fang Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Song. A scholar is included among the top collaborators of Fang 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 Fang Song. Fang 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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20 of 20 papers shown

#	Work	Indexed citations
1	Schottky Junction and D–A ₁ –A ₂ System Dual Regulation of Graphite‐Phase Carbon Nitride for Piezo‐Photocatalytic H ₂ O ₂ Production 2025 ·Small ·Di Li, (unknown), (unknown), Yuan Zhang, Huimin Zhu, Jiaoe Dang, Fang Song, Jun Zhou	2
2	Unraveling the transition of ZIF-67-on-ZIF-8 core–shell structured dodecahedron formed by an oriented attachment mechanism from type II to step-scheme for enhanced photocatalytic degradation of oxytetracycline hydrochloride 2024 ·Chemical Engineering Science ·Di Li, Chunyan Gao, Yuan Zhang, (unknown), Fang Song, Jun Zhou	7
3	Taste sensor for detecting non-charged bitter substances: Xanthine derivatives of pharmaceutical applications 2024 ·Microchemical Journal ·(unknown), Fang Song, (unknown), Takeshi Onodera, Takahiro Uchida, Kiyoshi Toko	3
4	Synergistic effect of lightning rod and piezo-photocatalysis in sea urchin-shape Zn-MOF-74@g-C3N4 step-scheme heterojunction for H2O2 production under visible light irradiation 2024 ·Chemical Engineering Journal ·Di Li, (unknown), (unknown), Yuan Zhang, Jun Zhou, Shaomin Liu, Fang Song, (unknown)	28
5	From early Paleozoic subduction to end-Carboniferous post-orogenic collapse: New constraints on the tectonic evolution of the Central and South Tianshan (NW China) 2024 ·Gondwana Research ·Fang Song, Bo Wang, (unknown), Mohamed Abu Anbar, Yan Chen, Michel Faure, Dominique Cluzel, Charles Gumiaux, T. Cao, (unknown), Yuxin Sun, Hongsheng Liu	4
6	A high-fidelity long-read sequencing-based approach enables accurate and effective genetic diagnosis of spinal muscular atrophy 2023 ·Clinica Chimica Acta ·Jin-li Bai, Yu-jin Qu, Wen‐Chen Huang, (unknown), (unknown), (unknown), (unknown), Yuwei Jin, Aiping Mao, Fang Song	6
7	Yuexiconcha nov. gen. – A resilifer-bearing palaeotaxodont (Bivalvia, Protobranchia) from the Ordovician of Guangdong, South China 2023 ·Geobios ·Zhijun Niu, Renjie Zhang, Paul Johnston, Chuan Li, Zhihong Wang, (unknown), Fang Song, (unknown), (unknown), (unknown), Wenqiang Yang	2
8	Socio-Demographic Factors Associated with Rural Residents’ Dietary Diversity and Dietary Pattern: A Cross-Sectional Study in Pingnan, China 2023 ·Nutrients ·Lingling Zhang, (unknown), (unknown), Wenqian Ruan, (unknown), Fang Song, (unknown)	3
9	Diagnostic value of contrast-enhanced ultrasound in intravenous leiomyomatosis: a single-center experiences 2022 ·Frontiers in Oncology ·(unknown), Yahong Wang, Ying Wang, Fang Song, Hongyan Wang, Jianchu Li	4
10	Bone mineral density and its influencing factors in Chinese children with spinal muscular atrophy types 2 and 3 2021 ·BMC Musculoskeletal Disorders ·(unknown), Yu-jin Qu, Xiaohui Li, Junting Liu, Xinying Shan, Jia Wang, Fang Song	6
11	Dual Mechanism of a New SMN1 Variant (c.835G>C, p.Gly279Arg) by Interrupting Exon 7 Skipping and YG Oligomerization in Causation of Spinal Muscular Atrophy 2020 ·Journal of Molecular Neuroscience ·Jin-li Bai, Yu-jin Qu, Fang Song, (unknown), (unknown), Jia Wang, Yuwei Jin, (unknown)	1
12	Transmission characteristics of SMN from 227 spinal muscular atrophy core families in China 2020 ·Journal of Human Genetics ·Yanyan Cao, Yu-jin Qu, Jin-li Bai, (unknown), Yuwei Jin, Hong Wang, Fang Song	2
13	U-Pb Age of Detrital Zircon and Its Restriction of Provenance & Paleogeographic Characteristics of Early Nanhua Period in Middle Yangtze 2016 ·Fang Song, Zhijun Niu, (unknown), Wenqiang Yang	5
14	Mutation Spectrum of the Survival of Motor Neuron 1 and Functional Analysis of Variants in Chinese Spinal Muscular Atrophy 2016 ·Journal of Molecular Diagnostics ·Yu-jin Qu, Jin-li Bai, (unknown), Hong Wang, Yuwei Jin, Juan Du, (unknown), Wenhui Zhang, Yan Li, (unknown), Fang Song	42
15	Subtle Mutation Detection of SMN1 Gene in Chinese Spinal Muscular Atrophy Patients: Implication of Molecular Diagnostic Procedure for SMN1 Gene Mutations 2014 ·Genetic Testing and Molecular Biomarkers ·(unknown), Yu-jin Qu, (unknown), (unknown), Liwen Wang, Yan Li, Yanli Zhu, (unknown), (unknown), Hong Wang, Fang Song	14
16	Clinical Value of Cold Knife Conization as Conservative Management in Patients With Microinvasive Cervical Squamous Cell Cancer (Stage IA1) 2014 ·International Journal of Gynecological Cancer ·Yue He, (unknown), (unknown), Tong Wang, Yan Wang, Weimin Kong, Fang Song, Wei Duan, Li Zhu, Weiyuan Zhang	8
17	Fast clinical molecular diagnosis of hyperphenylalaninemia using next-generation sequencing-based on a custom AmpliSeq™ panel and Ion Torrent PGM sequencing 2014 ·Molecular Genetics and Metabolism ·Yanyan Cao, (unknown), Fang Song, Ting Zhang, (unknown), (unknown), Hong Wang	17
18	Correlation of PLS3 expression with disease severity in children with spinal muscular atrophy 2013 ·Journal of Human Genetics ·(unknown), Yu-jin Qu, Jin-li Bai, Yuwei Jin, Hong Wang, Fang Song	33
19	Subtle mutations in the SMN1 gene in Chinese patients with SMA: p.Arg288Met mutation causing SMN1 transcript exclusion of exon7 2012 ·BMC Medical Genetics ·Yu-jin Qu, Juan Du, Erzhen Li, Jin-li Bai, Yuwei Jin, Hong Wang, Fang Song	23
20	Phenylketonuria mutations in Northern China 2005 ·Molecular Genetics and Metabolism ·Fang Song, (unknown), Ting Zhang, Yuwei Jin, Hong Wang, Xiaoying Zheng	55

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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