Danjun Song

634 total citations
26 papers, 459 citations indexed

About

Danjun Song is a scholar working on Oncology, Hepatology and Molecular Biology. According to data from OpenAlex, Danjun Song has authored 26 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Hepatology and 9 papers in Molecular Biology. Recurrent topics in Danjun Song's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Danjun Song is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Danjun Song collaborates with scholars based in China, United States and Ethiopia. Danjun Song's co-authors include Kai Zhu, Shengxiang Rao, Manning Wang, Jia Fan, Xiaoying Wang, Qiang Gao, Aiming Liu, Manyun Dai, Jiabin Cai and Yining Wang and has published in prestigious journals such as British Journal of Pharmacology, Advanced Science and Neurocomputing.

In The Last Decade

Danjun Song

26 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danjun Song China 11 134 130 127 116 95 26 459
Xiuzhong Yao China 14 166 1.2× 231 1.8× 175 1.4× 144 1.2× 113 1.2× 27 956
Miao Shan Lim Singapore 4 369 2.8× 127 1.0× 87 0.7× 65 0.6× 147 1.5× 8 542
Xuequn Zhang China 11 38 0.3× 68 0.5× 118 0.9× 101 0.9× 85 0.9× 19 526
Alexander Kirichenko United States 12 151 1.1× 139 1.1× 72 0.6× 120 1.0× 106 1.1× 36 508
Feng Shi China 16 277 2.1× 56 0.4× 121 1.0× 219 1.9× 174 1.8× 54 673
Li Liang China 11 55 0.4× 41 0.3× 80 0.6× 45 0.4× 38 0.4× 23 367
M Pirrelli Italy 12 51 0.4× 33 0.3× 173 1.4× 106 0.9× 75 0.8× 34 445

Countries citing papers authored by Danjun Song

Since Specialization
Citations

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

Fields of papers citing papers by Danjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danjun Song

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

All Works

20 of 20 papers shown
1.
2.
Wang, Rui, Xiaoshuang Shi, Yidi Chen, et al.. (2024). Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. Information Fusion. 114. 102713–102713. 5 indexed citations
3.
Mu, Tingting, Xinde Zheng, Danjun Song, et al.. (2024). Deep learning based on multiparametric MRI predicts early recurrence in hepatocellular carcinoma patients with solitary tumors ≤5 cm. European Journal of Radiology Open. 13. 100610–100610. 1 indexed citations
4.
Song, Danjun, et al.. (2024). XCR1: A promising prognostic marker that pinpoints targeted and immune-based therapy in hepatocellular carcinoma. Heliyon. 10(11). e31968–e31968. 2 indexed citations
5.
Zheng, Yi-Min, Yining Wang, Lu Zhou, et al.. (2023). PGAM1 Inhibition Promotes HCC Ferroptosis and Synergizes with Anti‐PD‐1 Immunotherapy. Advanced Science. 10(29). e2301928–e2301928. 54 indexed citations
6.
7.
Song, Danjun, Xi Wang, Yining Wang, et al.. (2023). Integrated Analysis of N1-Methyladenosine Methylation Regulators-Related lncRNAs in Hepatocellular Carcinoma. Cancers. 15(6). 1800–1800. 7 indexed citations
8.
Song, Danjun, et al.. (2022). An N6-methyladenosine-associated lncRNA signature for predicting clinical outcome and therapeutic responses in hepatocellular carcinoma. Annals of Translational Medicine. 10(8). 464–464. 4 indexed citations
9.
Song, Danjun, Kai Zhu, Jiabin Cai, et al.. (2022). Perioperative and oncologic outcomes of laparoscopic versus open liver resection for combined hepatocellular-cholangiocarcinoma: a propensity score matching analysis. Surgical Endoscopy. 37(2). 967–976. 9 indexed citations
10.
Lei, Xinyi, et al.. (2022). Knockdown of carboxypeptidase A4 (CPA4) inhibits gastric cancer cell progression via cell cycle arrest and apoptosis. Journal of Gastrointestinal Oncology. 13(6). 2823–2831. 3 indexed citations
11.
Gao, Wenyu, Wentao Wang, Danjun Song, et al.. (2022). A predictive model integrating deep and radiomics features based on gadobenate dimeglumine-enhanced MRI for postoperative early recurrence of hepatocellular carcinoma. La radiologia medica. 127(3). 259–271. 49 indexed citations
12.
Song, Danjun, Yueyue Wang, Wentao Wang, et al.. (2021). Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters. Journal of Cancer Research and Clinical Oncology. 147(12). 3757–3767. 69 indexed citations
13.
Zhu, Kai, Wentao Wang, Rongkui Luo, et al.. (2021). Newly detected liver nodules with a history of colorectal cancer: are they metastatic? Review of 2,632 cases in a single center. Annals of Translational Medicine. 9(13). 1079–1079. 4 indexed citations
14.
Song, Danjun, Yining Wang, Kai Zhu, et al.. (2020). DCK is a promising prognostic biomarker and correlated with immune infiltrates in hepatocellular carcinoma. World Journal of Surgical Oncology. 18(1). 176–176. 18 indexed citations
15.
Tian, Lingyu, Jiaqiang Ma, Lijie Ma, et al.. (2020). PD-1/PD-L1 expression profiles within intrahepatic cholangiocarcinoma predict clinical outcome. World Journal of Surgical Oncology. 18(1). 303–303. 36 indexed citations
16.
Dai, Manyun, Julin Yang, Danjun Song, et al.. (2017). Inhibition of JNK signalling mediates PPARα‐dependent protection against intrahepatic cholestasis by fenofibrate. British Journal of Pharmacology. 174(18). 3000–3017. 41 indexed citations
17.
Yang, Julin, et al.. (2017). Peroxisome Proliferator‐Activated Receptor α Activation Suppresses Cytochrome P450 Induction Potential in Mice Treated with Gemfibrozil. Basic & Clinical Pharmacology & Toxicology. 121(3). 169–174. 9 indexed citations
18.
Song, Danjun, Manyun Dai, Shizhong Bu, et al.. (2016). PPARα-dependent increase of mouse urine output by gemfibrozil and fenofibrate. Canadian Journal of Physiology and Pharmacology. 95(2). 199–205. 1 indexed citations
19.
Tan, Zhen, Manyun Dai, Danjun Song, et al.. (2016). Dual action of peroxisome proliferator-activated receptor alpha in perfluorodecanoic acid-induced hepatotoxicity. Archives of Toxicology. 91(2). 897–907. 21 indexed citations
20.
Tan, Zhen, Julin Yang, Yuqing Cheng, et al.. (2016). Chlorogenic acid inhibits cholestatic liver injury induced by α-naphthylisothiocyanate: involvement of STAT3 and NFκB signalling regulation. Journal of Pharmacy and Pharmacology. 68(9). 1203–1213. 34 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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