Lujia Song

412 total citations
13 papers, 238 citations indexed

About

Lujia Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Lujia Song has authored 13 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Lujia Song's work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Research Studies (4 papers). Lujia Song is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Research Studies (4 papers). Lujia Song collaborates with scholars based in China and Hong Kong. Lujia Song's co-authors include Chengdi Wang, Weimin Li, Jun Shao, Jingwei Li, Zhoufeng Wang, Qiuxiao Yu, Yinyun Ni, Tingting Song, Li Zhang and Ying Yang and has published in prestigious journals such as Nature Communications, Signal Transduction and Targeted Therapy and BMC Cancer.

In The Last Decade

Lujia Song

10 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lujia Song China 7 107 85 71 64 53 13 238
Dajia Lin China 6 92 0.9× 80 0.9× 53 0.7× 68 1.1× 16 0.3× 9 234
Hongru Shen China 8 61 0.6× 29 0.3× 87 1.2× 53 0.8× 24 0.5× 20 199
Cristian Barrera United States 7 92 0.9× 131 1.5× 27 0.4× 83 1.3× 42 0.8× 17 239
Bernadette Redd United States 8 98 0.9× 163 1.9× 38 0.5× 133 2.1× 54 1.0× 24 366
Nicolas Signolle France 9 45 0.4× 136 1.6× 66 0.9× 63 1.0× 42 0.8× 17 239
Anna Couvillon United States 7 141 1.3× 111 1.3× 38 0.5× 50 0.8× 49 0.9× 29 206
Qiufeng Zhao China 7 51 0.5× 50 0.6× 48 0.7× 138 2.2× 19 0.4× 22 301
Malay Singh Singapore 5 120 1.1× 35 0.4× 106 1.5× 43 0.7× 25 0.5× 8 212
Suji Lee South Korea 9 61 0.6× 44 0.5× 104 1.5× 48 0.8× 21 0.4× 38 263
Jian Zhong China 9 104 1.0× 114 1.3× 63 0.9× 75 1.2× 52 1.0× 23 256

Countries citing papers authored by Lujia Song

Since Specialization
Citations

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

Fields of papers citing papers by Lujia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lujia Song

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

All Works

13 of 13 papers shown
1.
Wang, Chengdi, Jingwei Li, Jingyao Chen, et al.. (2025). Multi-omics analyses reveal biological and clinical insights in recurrent stage I non-small cell lung cancer. Nature Communications. 16(1). 1477–1477. 13 indexed citations
2.
Zhou, Jian, et al.. (2024). A multi-level investigation of the genetic relationship between gastroesophageal reflux disease and lung cancer. Translational Lung Cancer Research. 13(9). 2373–2387.
4.
Wang, Chengdi, Jun Shao, Lujia Song, et al.. (2023). Persistent increase and improved survival of stage I lung cancer based on a large-scale real-world sample of 26,226 cases. Chinese Medical Journal. 136(16). 1937–1948. 11 indexed citations
5.
Li, Jianbo, Xiang‐Jun Zha, Kang Yan, et al.. (2022). Oxygen-carrying sequential preservation mitigates liver grafts ischemia-reperfusion injury. iScience. 26(1). 105858–105858.
6.
Wang, Chengdi, Jiechao Ma, Shu Zhang, et al.. (2022). Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. npj Digital Medicine. 5(1). 124–124. 23 indexed citations
7.
Wang, Chengdi, Qiuxiao Yu, Tingting Song, et al.. (2022). The heterogeneous immune landscape between lung adenocarcinoma and squamous carcinoma revealed by single-cell RNA sequencing. Signal Transduction and Targeted Therapy. 7(1). 289–289. 118 indexed citations
8.
Wang, Chengdi, Jingwei Li, Qiran Zhang, et al.. (2021). The landscape of immune checkpoint inhibitor therapy in advanced lung cancer. BMC Cancer. 21(1). 968–968. 16 indexed citations
9.
Shao, Jun, Jingwei Li, Lujia Song, et al.. (2021). The number of brain metastases predicts the survival of non‐small cell lung cancer patients with EGFR mutation status. Cancer Reports. 5(9). e1550–e1550. 6 indexed citations
10.
Shao, Jun, Chengdi Wang, Jingwei Li, et al.. (2020). A comprehensive algorithm to distinguish between MPLC and IPM in multiple lung tumors patients. Annals of Translational Medicine. 8(18). 1137–1137. 11 indexed citations
11.
Xu, Xiuyuan, Lujia Song, Chengdi Wang, et al.. (2020). The application of artificial intelligence and radiomics in lung cancer. Precision Clinical Medicine. 3(3). 214–227. 33 indexed citations
12.
Song, Lujia, et al.. (2014). Building a Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning. Journal of Software. 9(6). 4 indexed citations
13.
Song, Lujia, et al.. (2013). Least squares support tensor machine. 146–151. 3 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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