Xiaoling Song

408 total citations
8 papers, 334 citations indexed

About

Xiaoling Song is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Xiaoling Song has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Xiaoling Song's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer-related gene regulation (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). Xiaoling Song is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer-related gene regulation (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). Xiaoling Song collaborates with scholars based in China. Xiaoling Song's co-authors include Dongmiao Wang, Hongbing Jiang, Xiaoyun Jiang, Laikui Liu, Xiangxiang Zhou, Hongbing Jiang, Lei Ding, Jie Cheng, Duo Shang and Yunong Wu and has published in prestigious journals such as Frontiers in Immunology, BMC Medicine and Modern Pathology.

In The Last Decade

Xiaoling Song

7 papers receiving 327 citations

Peers

Xiaoling Song
Max Partridge United Kingdom
Xiaoling Song
Citations per year, relative to Xiaoling Song Xiaoling Song (= 1×) peers Max Partridge

Countries citing papers authored by Xiaoling Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Song. A scholar is included among the top collaborators of Xiaoling 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 Xiaoling Song. Xiaoling Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
3.
Zhong, Yi, et al.. (2017). The screening and electron microscopy observation of mammary analogue secretory carcinoma in Chinese. Journal of Cranio-Maxillofacial Surgery. 46(6). 893–897. 7 indexed citations
4.
Wang, Ran, Jing Shan, Yunong Wu, et al.. (2014). Brush biopsy with DNA-image cytometry: a useful and noninvasive method for monitoring malignant transformation of potentially malignant oral disorders. European Archives of Oto-Rhino-Laryngology. 271(12). 3291–3295. 24 indexed citations
6.
Zhu, Rui, Xiaoyun Jiang, Xiaoling Song, et al.. (2010). [Expression of E-cadherin and beta-catenin in oral squamous cell carcinomas of tongue: correlation with the clinicopathologic features and patient prognosis].. PubMed. 45(5). 295–8. 2 indexed citations
7.
8.
Yuan, Fan, et al.. (2004). [The expression of apoptosis-associated proteins Bcl-2, Bax in oral leukoplakia and lichen planus].. PubMed. 13(6). 497–501. 7 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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