Qing Pang

1.8k total citations
67 papers, 1.3k citations indexed

About

Qing Pang is a scholar working on Hepatology, Oncology and Epidemiology. According to data from OpenAlex, Qing Pang has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hepatology, 23 papers in Oncology and 19 papers in Epidemiology. Recurrent topics in Qing Pang's work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Liver Disease Diagnosis and Treatment (18 papers) and Inflammatory Biomarkers in Disease Prognosis (15 papers). Qing Pang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Liver Disease Diagnosis and Treatment (18 papers) and Inflammatory Biomarkers in Disease Prognosis (15 papers). Qing Pang collaborates with scholars based in China, United States and Denmark. Qing Pang's co-authors include Jingyao Zhang, Sushun Liu, Huichun Liu, Runchen Miao, Hao Jin, Kai Qu, Sidong Song, Kai Qu, Yanyan Zhou and Qifei Wu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and The Plant Journal.

In The Last Decade

Qing Pang

65 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Pang China 22 407 373 365 314 297 67 1.3k
Terumi Takahara Japan 22 409 1.0× 178 0.5× 402 1.1× 395 1.3× 302 1.0× 65 1.4k
Takemi Akahane Japan 24 766 1.9× 260 0.7× 529 1.4× 565 1.8× 280 0.9× 108 1.8k
Haibo Zhang China 13 644 1.6× 184 0.5× 240 0.7× 350 1.1× 143 0.5× 30 1.4k
Jana C. Mossanen Germany 13 662 1.6× 205 0.5× 557 1.5× 304 1.0× 183 0.6× 22 1.5k
Wei An China 27 612 1.5× 530 1.4× 336 0.9× 773 2.5× 629 2.1× 96 2.1k
Fausto Andreola United Kingdom 25 649 1.6× 263 0.7× 521 1.4× 861 2.7× 312 1.1× 55 1.9k
Qinghui Zhang China 21 325 0.8× 188 0.5× 181 0.5× 635 2.0× 141 0.5× 42 1.3k
Kyle J. Thompson United States 19 294 0.7× 156 0.4× 150 0.4× 266 0.8× 323 1.1× 60 998
Keizo Kagawa Japan 20 360 0.9× 232 0.6× 331 0.9× 300 1.0× 189 0.6× 70 1.1k
Neung Hwa Park South Korea 27 977 2.4× 241 0.6× 891 2.4× 362 1.2× 231 0.8× 94 2.0k

Countries citing papers authored by Qing Pang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Pang. A scholar is included among the top collaborators of Qing Pang 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 Qing Pang. Qing Pang 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.
Li, Yuanyuan, et al.. (2022). Serum hsa_circ_0000615 is a prognostic biomarker of sorafenib resistance in hepatocellular carcinoma. Journal of Clinical Laboratory Analysis. 36(11). e24741–e24741. 6 indexed citations
3.
Zhou, Shuai, Chao Zhu, Hao Jing, et al.. (2021). 125I Intracavitary Irradiation Combined with 125I Seeds Implantation for Treatment of Locally Advanced Pancreatic Head Cancer: A Retrospective Analysis of 67 Cases. International Journal of General Medicine. Volume 14. 2645–2653. 2 indexed citations
4.
Pang, Qing, Hao Jin, Yong Wang, et al.. (2021). Depletion of serotonin relieves concanavalin A-induced liver fibrosis in mice by inhibiting inflammation, oxidative stress, and TGF-β1/Smads signaling pathway. Toxicology Letters. 340. 123–132. 18 indexed citations
5.
6.
Du, Lijuan, Bing Pang, Yu‐Meng Tan, et al.. (2020). Banxia Xiexin Decoction Ameliorates t-BHP-Induced Apoptosis in Pancreatic Beta Cells by Activating the PI3K/AKT/FOXO1 Signaling Pathway. Journal of Diabetes Research. 2020. 1–11. 17 indexed citations
7.
Wang, Zhaoying, et al.. (2019). Laparoscopic Versus Open Hepatectomy in Short- and Long-Term Outcomes of the Hepatocellular Carcinoma Patients with Cirrhosis: A Systematic Review and Meta-Analysis. Journal of Laparoendoscopic & Advanced Surgical Techniques. 29(5). 643–654. 13 indexed citations
8.
9.
Pang, Qing, et al.. (2017). Predictive Value of uPAR and EGF for Chemoradiation Therapy Response and Survival in Patients with Esophageal Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 99(2). E140–E140. 1 indexed citations
10.
Pang, Qing, Hao Jin, Yong Wang, et al.. (2017). Radical versus conservative surgical treatment of liver hydatid cysts: a meta-analysis. Frontiers of Medicine. 12(3). 350–359. 34 indexed citations
11.
Niu, Wenquan, Qing Pang, Zhixin Wang, et al.. (2016). A Causal Role of Genetically Elevated Circulating Interleukin-10 in the Development of Digestive Cancers. Medicine. 95(7). e2799–e2799. 8 indexed citations
12.
Xu, Xinsen, Kai Qu, Qing Pang, et al.. (2016). Association between telomere length and survival in cancer patients: a meta-analysis and review of literature. Frontiers of Medicine. 10(2). 191–203. 18 indexed citations
13.
Xu, Xinsen, Yanyan Zhou, Runchen Miao, et al.. (2016). Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis. Frontiers of Medicine. 10(2). 183–190. 18 indexed citations
14.
Liu, Sushun, Qing Pang, Jingyao Zhang, et al.. (2016). Machine perfusion versus cold storage of livers: a meta-analysis. Frontiers of Medicine. 10(4). 451–464. 9 indexed citations
15.
Zhang, Lingqiang, Runchen Miao, Wei Chen, et al.. (2015). Exploring the diagnosis markers for gallbladder cancer based on clinical data. Frontiers of Medicine. 9(3). 350–355. 11 indexed citations
16.
Pang, Qing. (2015). Significance of platelet count and platelet-based models for hepatocellular carcinoma recurrence. World Journal of Gastroenterology. 21(18). 5607–5607. 26 indexed citations
17.
Xu, Xinsen, Runchen Miao, Lingqiang Zhang, et al.. (2015). Model Based on Alkaline Phosphatase and Gamma-Glutamyltransferase for Gallbladder Cancer Prognosis. Asian Pacific Journal of Cancer Prevention. 16(15). 6255–6259. 18 indexed citations
18.
Zhang, Jingyao, Sidong Song, Qing Pang, et al.. (2015). Serotonin Deficiency Exacerbates Acetaminophen-Induced Liver Toxicity In Mice. Scientific Reports. 5(1). 8098–8098. 29 indexed citations
19.
Tai, Ming‐Hui, Jingyao Zhang, Sidong Song, et al.. (2015). Protective effects of luteolin against acetaminophen-induced acute liver failure in mouse. International Immunopharmacology. 27(1). 164–170. 77 indexed citations
20.
Pang, Qing, Kai Qu, Jingyao Zhang, et al.. (2015). The Prognostic Value of Platelet Count in Patients With Hepatocellular Carcinoma. Medicine. 94(37). e1431–e1431. 77 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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