Sina Zhang

484 total citations
11 papers, 298 citations indexed

About

Sina Zhang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sina Zhang has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sina Zhang's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Sina Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Sina Zhang collaborates with scholars based in China, Sweden and Macao. Sina Zhang's co-authors include Gang Chen, Yi Wang, Zhehao Shi, Baofu Zhang, Wenming Bao, Zhengping Yu, Tan Zhang, Jungang Zhao, Ziyan Chen and Xiangtao Zheng and has published in prestigious journals such as Cell Death and Disease, Frontiers in Cellular and Infection Microbiology and Frontiers in Genetics.

In The Last Decade

Sina Zhang

11 papers receiving 293 citations

Peers

Sina Zhang

MB

CR

PRM

SURGE

ONCOL

Fenglin Cai China

Chengkai Jiang China

Youxiang Chen China

Jing Wen China

Laura Succony United Kingdom

Rongjie Zhao China

Huanqiu Chen China

Masataka Shimonosono Japan

Wene Wei China

Chuanfan Zhong China

Fenglin Cai China

Sina Zhang

159 ×0.8

MB

101 ×0.6

CR

81 ×0.5

PRM

27 ×0.4

SURGE

57 ×1.1

ONCOL

Citations per year, relative to Sina Zhang Sina Zhang (= 1×) peers Fenglin Cai

Countries citing papers authored by Sina Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Sina Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Zhang

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

All Works

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11 of 11 papers shown

1.

Shi, Zhehao, Zhiming Li, Wen Ye, et al.. (2023). Loss of LncRNA DUXAP8 synergistically enhanced sorafenib induced ferroptosis in hepatocellular carcinoma via SLC7A11 de‐palmitoylation. Clinical and Translational Medicine. 13(6). e1300–e1300. 64 indexed citations

2.

Deng, Liming, Wenming Bao, Baofu Zhang, et al.. (2023). AZGP1 activation by lenvatinib suppresses intrahepatic cholangiocarcinoma epithelial-mesenchymal transition through the TGF-β1/Smad3 pathway. Cell Death and Disease. 14(9). 590–590. 8 indexed citations

3.

Zhang, Baofu, Wenming Bao, Sina Zhang, et al.. (2022). LncRNA HEPFAL accelerates ferroptosis in hepatocellular carcinoma by regulating SLC7A11 ubiquitination. Cell Death and Disease. 13(8). 734–734. 107 indexed citations

4.

Wang, Mingxun, Sina Zhang, Zhehao Shi, et al.. (2022). Exploration and validation of a novel ferroptosis-related gene signature predicting the prognosis of intrahepatic cholangiocarcinoma. Acta Biochimica et Biophysica Sinica. 54(9). 1376–1385. 10 indexed citations

5.

Zhang, Tan, Sina Zhang, Jin Chen, et al.. (2021). A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma. Frontiers in Cellular and Infection Microbiology. 11. 751795–751795. 44 indexed citations

6.

Xu, Min, et al.. (2021). A seven-lncRNA signature for predicting prognosis in breast carcinoma. Translational Cancer Research. 10(9). 4033–4046. 8 indexed citations

7.

Chen, Ziyan, Haitao Yu, Lijun Wu, et al.. (2021). Identification and Validation of Hub Genes Predicting Prognosis of Hepatocellular Carcinoma. Digestive Surgery. 39(1). 24–31. 1 indexed citations

8.

Xie, Xiaozai, Yi Wang, Sina Zhang, et al.. (2021). A novel five-lncRNA signature panel improves high-risk survival prediction in patients with cholangiocarcinoma. Aging. 13(2). 2959–2981. 15 indexed citations

9.

Wang, Yi, Sina Zhang, Xiaozai Xie, et al.. (2020). Association of TNFRSF12A Methylation With Prognosis in Hepatocellular Carcinoma With History of Alcohol Consumption. Frontiers in Genetics. 10. 1299–1299. 15 indexed citations

10.

Deng, Liming, Yi Wang, Jungang Zhao, et al.. (2020). The prognostic value of sarcopenia combined with hepatolithiasis in intrahepatic cholangiocarcinoma patients after surgery: A prospective cohort study. European Journal of Surgical Oncology. 47(3). 603–612. 20 indexed citations

11.

Zhang, Sina. (2011). Inter-cell Interference Coordination in Indoor LTE Systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6 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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