Dongling Gao

584 total citations
22 papers, 401 citations indexed

About

Dongling Gao is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Dongling Gao has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Genetics. Recurrent topics in Dongling Gao's work include Virus-based gene therapy research (7 papers), Cancer Research and Treatments (5 papers) and CAR-T cell therapy research (4 papers). Dongling Gao is often cited by papers focused on Virus-based gene therapy research (7 papers), Cancer Research and Treatments (5 papers) and CAR-T cell therapy research (4 papers). Dongling Gao collaborates with scholars based in China, United Kingdom and United States. Dongling Gao's co-authors include Yaohe Wang, Nicholas R. Lemoine, Louisa S. Chard, Shengdian Wang, Xiaozhu Li, Zhongxian Zhang, Haoze Li, Pengju Wang, Yuenan Li and Yongchao Chu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dongling Gao

21 papers receiving 398 citations

Peers

Dongling Gao

ONCOL

GENET

IMMUN

BIOTE

Joshua D. Freedman United Kingdom

Petri Nokisalmi Finland

Sarah Knocke Germany

Emma J. West United Kingdom

Min Liang China

Michael Nemunaitis United States

Hajime Kurosaki Japan

Ibrahim Ragab Eissa Japan

Simona Bramante Finland

Shohei Miyamoto Japan

Joshua D. Freedman United Kingdom

Dongling Gao

314 ×1.2

ONCOL

249 ×1.1

GENET

167 ×1.1

114 ×1.0

IMMUN

66 ×0.8

BIOTE

Citations per year, relative to Dongling Gao Dongling Gao (= 1×) peers Joshua D. Freedman

Countries citing papers authored by Dongling Gao

Since Specialization

Citations

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

Fields of papers citing papers by Dongling Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongling Gao

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

All Works

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20 of 20 papers shown

Wang, Yaohe, Zhongde Wang, Jinxin Miao, et al.. (2021). Cancer spectrum in TP53-deficient golden Syrian hamsters: A new model for li-fraumeni syndrome. Journal of Carcinogenesis. 20(1). 18–18. 6 indexed citations

Miao, Jinxin, Jianyao Wang, Haoze Li, et al.. (2020). Promising xenograft animal model recapitulating the features of human pancreatic cancer. World Journal of Gastroenterology. 26(32). 4802–4816. 19 indexed citations

Gao, Dongling, Yuchen Han, Zhihua Zhao, et al.. (2020). Abstract 741: Molecular and clinicopathological characteristics of Chinese non-small cell lung cancers with ROS1 gene fusions identified by next-generation sequencing. Cancer Research. 80(16_Supplement). 741–741.

Ahmed, Jahangir, Louisa S. Chard, Ming Yuan, et al.. (2020). A new oncolytic V accinia virus augments antitumor immune responses to prevent tumor recurrence and metastasis after surgery. Journal for ImmunoTherapy of Cancer. 8(1). e000415–e000415. 45 indexed citations

Wang, Pengju, Xiaozhu Li, Jiwei Wang, et al.. (2017). Re-designing Interleukin-12 to enhance its safety and potential as an anti-tumor immunotherapeutic agent. Nature Communications. 8(1). 1395–1395. 141 indexed citations

Chard, Louisa S., Eleni Maniati, Pengju Wang, et al.. (2014). A Vaccinia Virus Armed with Interleukin-10 Is a Promising Therapeutic Agent for Treatment of Murine Pancreatic Cancer. Clinical Cancer Research. 21(2). 405–416. 60 indexed citations

Tysome, James R., Xiaozhu Li, Shengdian Wang, et al.. (2012). A Novel Therapeutic Regimen to Eradicate Established Solid Tumors with an Effective Induction of Tumor-Specific Immunity. Clinical Cancer Research. 18(24). 6679–6689. 56 indexed citations

Cao, Hua, Kun Xu, Pengju Wang, et al.. (2012). [Antitumour efficacy of a novel oncolytic adenovirus Ad-TD-RFP for human nasopharyngeal carcinoma].. PubMed. 47(8). 672–6. 1 indexed citations

Zhang, Hongxin, Lan Zhang, Xiangyu Zheng, et al.. (2011). The effects of vascular endothelial growth factor C knockdown in esophageal squamous cell carcinoma. Journal of Cancer Research and Clinical Oncology. 138(1). 133–139. 7 indexed citations

10.

Zhang, Hongxin, et al.. (2010). Quantitative detection of screening for cervical lesions with ThinPrep Cytology Test. SHILAP Revista de lepidopterología. 7(5). 299–302. 3 indexed citations

11.

Lu, Taiying, Wenbin Li, Liuxing Wang, et al.. (2010). [Mechanism of apoptosis of esophageal cancer EC9706 in nude mice induced by all-trans retinoic acid].. PubMed. 32(12). 892–6. 4 indexed citations

12.

Lu, Taiying, Xin Li, Wenbin Li, et al.. (2010). [Promoting effect of all-trans retinoic acid on the chemosensitivity of esophageal cancer EC9706 cells].. PubMed. 32(9). 663–6. 2 indexed citations

13.

Wang, Yaohe, Rathi Gangeswaran, Pengju Wang, et al.. (2009). CEACAM6 attenuates adenovirus infection by antagonizing viral trafficking in cancer cells. Journal of Clinical Investigation. 119(6). 1604–1615. 26 indexed citations

14.

Liu, Hong‐Chun, Yuhan Liu, Dongling Gao, et al.. (2009). Expression of TPX2 and Aurora A in esophageal squamous carcinoma and their significance in clinical pathology.. Zhongliu fangzhi yanjiu. 36(11). 932–935. 2 indexed citations

15.

Li, Wencai, et al.. (2009). [Mutation and protein expression of PTEN gene in cervical adenocarcinoma and glandular intraepithelial neoplasia].. PubMed. 38(6). 397–401. 2 indexed citations

16.

Li, Shenglei, et al.. (2008). [Expression of nucleostemin mRNA and protein in the esophageal squamous cell carcinoma].. PubMed. 30(2). 125–8. 3 indexed citations

17.

Pei, Yingxin, et al.. (2007). [Effects and mechanism of lutein on apoptosis of esophageal carcinoma EC9706 cells].. PubMed. 32(4). 332–4, 354. 4 indexed citations

18.

Liu, Zongwen, Zhihua Zhao, Shenglei Li, et al.. (2007). Change and significance of mitochondrial DNA copy number in esophageal squamous cell carcinoma. Chinese Journal of Clinical Oncology. 4(1). 29–32. 1 indexed citations

19.

Zhang, Huijuan, Daoming Li, Dongling Gao, et al.. (2005). [The relationship between intrathyroidal dendritic cells and humoral immune disorder in Graves' disease].. PubMed. 44(2). 122–4. 2 indexed citations

20.

Zhang, Yunhan, et al.. (1999). Expression of GST-π gene in human esophageal carcinogenesis. Chinese Journal of Cancer Research. 11(4). 264–266. 2 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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