Xiaosong Rao

725 total citations
14 papers, 489 citations indexed

About

Xiaosong Rao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Xiaosong Rao has authored 14 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Xiaosong Rao's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). Xiaosong Rao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). Xiaosong Rao collaborates with scholars based in China, United States and Germany. Xiaosong Rao's co-authors include Rui Yan, Fa Zhang, Fei Ren, Chun-Hou Zheng, Zihao Wang, Yudong Liu, Tong Zhang, Lihua Wang, Jun Liang and Jie Lan and has published in prestigious journals such as Sensors, Molecular Cancer and Methods.

In The Last Decade

Xiaosong Rao

14 papers receiving 476 citations

Peers

Xiaosong Rao

RNMI

CVPR

PRM

Pooya Mobadersany United States

Chengkuan Chen United States

Mane Williams United States

José E. Velázquez Vega United States

Maha Shady United States

Zeyan Xu China

Zixiao Lu China

Guillaume Jaume United States

Neha Bhooshan United States

Benoît Schmauch France

Pooya Mobadersany United States

Xiaosong Rao

432 ×1.4

420 ×1.8

RNMI

94 ×0.8

CVPR

114 ×1.0

84 ×0.8

PRM

Citations per year, relative to Xiaosong Rao Xiaosong Rao (= 1×) peers Pooya Mobadersany

Countries citing papers authored by Xiaosong Rao

Since Specialization

Citations

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

Fields of papers citing papers by Xiaosong Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosong Rao

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

All Works

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14 of 14 papers shown

Zhao, Yu, Da Qin, Xiangji Li, et al.. (2024). Identification of NINJ1 as a novel prognostic predictor for retroperitoneal liposarcoma. Discover Oncology. 15(1). 155–155. 2 indexed citations

Xing, Tao, Li Li, Xiaosong Rao, et al.. (2024). ARID1A deficiency promotes progression and potentiates therapeutic antitumour immunity in hepatitis B virus-related hepatocellular carcinoma. BMC Gastroenterology. 24(1). 11–11. 3 indexed citations

Xiao, Mengmeng, Xiaobing Chen, Weida Chen, et al.. (2023). Overexpression of ASPH protein predicts poor outcomes in retroperitoneal liposarcoma patients. Chinese Medical Journal. 136(17). 2113–2115. 1 indexed citations

Li, Li, Jie Lan, Yang Cui, et al.. (2022). CRISPR screens uncover protective effect of PSTK as a regulator of chemotherapy-induced ferroptosis in hepatocellular carcinoma. Molecular Cancer. 21(1). 11–11. 89 indexed citations

Zhang, Lingling, William W. Tseng, Xiaosong Rao, et al.. (2022). A better overall survival (OS) for total (ipsilateral) retroperitoneal lipectomy than standard complete resection in patients with retroperitoneal liposarcoma: a comparative multi-institutional study. Annals of Translational Medicine. 10(14). 785–785. 7 indexed citations

Yan, Rui, Fei Ren, Jintao Li, et al.. (2022). Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images. Sensors. 22(11). 4061–4061. 16 indexed citations

Yan, Rui, Fa Zhang, Xiaosong Rao, et al.. (2021). Richer fusion network for breast cancer classification based on multimodal data. BMC Medical Informatics and Decision Making. 21(S1). 134–134. 50 indexed citations

Zhao, Jing, Weiran Xu, Yu Zhang, et al.. (2021). Decreased Expression of Arid1A Invasively Downregulates the Expression of Ribosomal Proteins in Hepatocellular Carcinoma. Biomarkers in Medicine. 15(7). 497–508. 1 indexed citations

Tseng, William W., Jun Chen, Dakshesh B. Patel, et al.. (2020). Multidisciplinary sarcoma tumor board: retroperitoneal liposarcoma. Chinese Clinical Oncology. 9(2). 20–20. 8 indexed citations

10.

Yan, Rui, Jintao Li, Xiaosong Rao, et al.. (2020). NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. 865–870. 11 indexed citations

11.

Li, Li, Xiaosong Rao, Xiangyi Wang, et al.. (2020). Implications of driver genes associated with a high tumor mutation burden identified using next‑generation sequencing on immunotherapy in hepatocellular carcinoma. Oncology Letters. 19(4). 2739–2748. 28 indexed citations

12.

Yan, Rui, Fei Ren, Zihao Wang, et al.. (2019). Breast cancer histopathological image classification using a hybrid deep neural network. Methods. 173. 52–60. 242 indexed citations

13.

Zhang, Hong, Fei Ren, Zhong-Lie Wang, et al.. (2019). Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. 920–925. 11 indexed citations

14.

Yan, Rui, Fei Ren, Zihao Wang, et al.. (2018). A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification. 957–962. 20 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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