Song He

2.7k total citations
93 papers, 2.1k citations indexed

About

Song He is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Song He has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 32 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Song He's work include Ubiquitin and proteasome pathways (16 papers), RNA modifications and cancer (16 papers) and Cancer-related Molecular Pathways (14 papers). Song He is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), RNA modifications and cancer (16 papers) and Cancer-related Molecular Pathways (14 papers). Song He collaborates with scholars based in China, Norway and United States. Song He's co-authors include Chun Cheng, Aiguo Shen, Fulin Qiang, Jianbing Zhang, Yansu Chen, Jianwei Zhou, Yuchan Wang, Aiping Li, Runzhou Ni and Cuihua Lu and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Advanced Drug Delivery Reviews.

In The Last Decade

Song He

88 papers receiving 2.1k citations

Peers

Song He

ONCOL

IMMUN

EPIDE

Yuezhen Deng China

Joan Montero Spain

Judy Wai Ping Yam Hong Kong

Lo‐Kong Chan Hong Kong

Jiong Bi China

Antonella Papa United States

Zhen Zhao United States

Lisha Qi China

Bingbing Dai United States

Rudolf Nenutil Czechia

Yuezhen Deng China

Song He

1.1k ×0.7

646 ×1.1

421 ×0.7

ONCOL

330 ×1.3

IMMUN

189 ×0.8

EPIDE

Citations per year, relative to Song He Song He (= 1×) peers Yuezhen Deng

Countries citing papers authored by Song He

Since Specialization

Citations

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

Fields of papers citing papers by Song He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song He

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Cong, Wenjing Zhou, Jianqi Hao, et al.. (2025). Natural Killer Cell‐Mediated Antitumor Immunity: Molecular Mechanisms and Clinical Applications. MedComm. 6(9). e70387–e70387.

Zhang, Yan, et al.. (2024). Deubiquitinase USP18 inhibits hepatic stellate cells activation and alleviates liver fibrosis via regulation of TAK1 activity. Experimental Cell Research. 442(2). 114235–114235. 2 indexed citations

He, Wei, et al.. (2023). Beneficial effect of GABA-rich fermented milk whey on nervous system and intestinal microenvironment of aging mice induced by D-galactose. Microbiological Research. 278. 127547–127547. 14 indexed citations

Shao, Jingjing, et al.. (2023). Glycolytic Genes Predict Immune Status and Prognosis Non‐Small‐Cell Lung Cancer Patients with Radiotherapy and Chemotherapy. BioMed Research International. 2023(1). 4019091–4019091. 2 indexed citations

Huang, Yuejiao, Xianting Huang, Chun Cheng, et al.. (2019). Elucidating the expression and function of Numbl during cell adhesion-mediated drug resistance (CAM-DR) in multiple myeloma (MM). BMC Cancer. 19(1). 1269–1269. 7 indexed citations

Lei, Jing, et al.. (2019). NAMPT and NAPRT, Key Enzymes in NAD Salvage Synthesis Pathway, Are of Negative Prognostic Value in Colorectal Cancer. Frontiers in Oncology. 9. 736–736. 37 indexed citations

Wan, Chunhua, Gong Chen, Hua Lu, et al.. (2016). β2-adrenergic receptor signaling promotes pancreatic ductal adenocarcinoma (PDAC) progression through facilitating PCBP2-dependent c-myc expression. Cancer Letters. 373(1). 67–76. 33 indexed citations

Chen, Yansu, Yefei Huang, Liwen Zhu, et al.. (2016). SOX2 inhibits metastasis in gastric cancer. Journal of Cancer Research and Clinical Oncology. 142(6). 1221–1230. 31 indexed citations

Wang, Yingying, Juan Wang, Jianxin Zhong, et al.. (2014). Ubiquitin-specific protease 14 (USP14) regulates cellular proliferation and apoptosis in epithelial ovarian cancer. Medical Oncology. 32(1). 379–379. 61 indexed citations

10.

Ni, Wenkai, Buyou Chen, Cuihua Lu, et al.. (2013). Overexpressed nuclear BAG‐1 in human hepatocellular carcinoma is associated with poor prognosis and resistance to doxorubicin. Journal of Cellular Biochemistry. 114(9). 2120–2130. 19 indexed citations

11.

Wan, Chunhua, Shiqiang Hou, Runzhou Ni, et al.. (2013). MIF4G domain containing protein regulates cell cycle and hepatic carcinogenesis by antagonizing CDK2-dependent p27 stability. Oncogene. 34(2). 237–245. 52 indexed citations

12.

Chen, Yansu, Xiaowei Xia, Shouyu Wang, et al.. (2013). High FAK combined with low JWA expression: clinical prognostic and predictive role for adjuvant fluorouracil–leucovorin–oxaliplatin treatment in resectable gastric cancer patients. Journal of Gastroenterology. 48(9). 1034–1044. 11 indexed citations

13.

Zhou, Jiaming, Li Chen, Yixin Zhang, et al.. (2013). Synergistic effect of EMS1-shRNA and sorafenib on proliferation, migration, invasion and endocytosis of SMMC-7721. Journal of Molecular Histology. 45(2). 205–216. 4 indexed citations

14.

Lu, Cuihua, Jing Zhang, Song He, et al.. (2013). Increased α-Tubulin1b Expression Indicates Poor Prognosis and Resistance to Chemotherapy in Hepatocellular Carcinoma. Digestive Diseases and Sciences. 58(9). 2713–2720. 53 indexed citations

15.

Chen, Yansu, Yefei Huang, Yulin Huang, et al.. (2013). JWA suppresses tumor angiogenesis via Sp1-activated matrix metalloproteinase-2 and its prognostic significance in human gastric cancer. Carcinogenesis. 35(2). 442–451. 50 indexed citations

16.

Yang, Ye, Xuan Li, Jing‐Jing Yang, et al.. (2013). MDM2 is a useful prognostic biomarker for resectable gastric cancer. Cancer Science. 104(5). 590–598. 23 indexed citations

17.

Wang, Shouyu, Xuming Wu, Yansu Chen, et al.. (2012). Prognostic and Predictive Role of JWA and XRCC1 Expressions in Gastric Cancer. Clinical Cancer Research. 18(10). 2987–2996. 102 indexed citations

18.

Luo, Li, Shu Chen, Qian Gong, et al.. (2012). Hepatitis B virus X protein modulates remodelling of minichromosomes related to hepatitis B virus replication in HepG2 cells. International Journal of Molecular Medicine. 31(1). 197–204. 11 indexed citations

19.

Gong, Qian, Shu Chen, Jinjun Guo, et al.. (2011). Chromosome Remodeling Related to Hepatitis B Virus Replication in HepG2 Cells. DNA and Cell Biology. 30(6). 347–354. 15 indexed citations

20.

He, Song, et al.. (2005). Application of median-effect in quantitative analysis of antitumor drugs in vitro. Chinese Journal of Cancer Research. 17(2). 140–144. 1 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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