Bang‐De Xiang

6.5k total citations · 1 hit paper
163 papers, 3.4k citations indexed

About

Bang‐De Xiang is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Bang‐De Xiang has authored 163 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Hepatology, 64 papers in Epidemiology and 55 papers in Surgery. Recurrent topics in Bang‐De Xiang's work include Hepatocellular Carcinoma Treatment and Prognosis (98 papers), Liver Disease Diagnosis and Treatment (55 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (44 papers). Bang‐De Xiang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (98 papers), Liver Disease Diagnosis and Treatment (55 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (44 papers). Bang‐De Xiang collaborates with scholars based in China, United States and Japan. Bang‐De Xiang's co-authors include Jian‐Hong Zhong, Le‐Qun Li, Liang Ma, Wen‐Feng Gong, Xue‐Mei You, Ke Yang, Le‐Qun Li, Feixiang Wu, Jinghang Jiang and Gui‐Sheng Xie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bang‐De Xiang

154 papers receiving 3.4k citations

Hit Papers

Development of pre and post-operative models to predict e... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bang‐De Xiang China 30 2.1k 1.3k 842 842 743 163 3.4k
Thomas Decaens France 31 2.3k 1.1× 1.3k 1.0× 720 0.9× 591 0.7× 889 1.2× 141 3.9k
Boheng Zhang China 33 2.2k 1.0× 1.6k 1.2× 1.1k 1.3× 1.0k 1.2× 785 1.1× 83 4.1k
Gar‐Yang Chau Taiwan 27 1.7k 0.8× 1.2k 0.9× 539 0.6× 970 1.2× 715 1.0× 83 3.4k
Le‐Qun Li China 28 2.2k 1.0× 1.1k 0.9× 480 0.6× 524 0.6× 853 1.1× 104 2.7k
Cheng‐Yuan Hsia Taiwan 31 2.5k 1.2× 1.7k 1.3× 562 0.7× 633 0.8× 1.1k 1.5× 122 3.3k
Kazuhiro Nouso Japan 39 2.5k 1.2× 1.9k 1.5× 1.1k 1.3× 1.1k 1.3× 819 1.1× 221 5.0k
Matthias Pinter Austria 37 2.9k 1.4× 2.1k 1.6× 1.1k 1.3× 646 0.8× 866 1.2× 156 4.7k
Lætitia Fartoux France 24 1.6k 0.8× 1.6k 1.2× 546 0.6× 429 0.5× 427 0.6× 67 3.1k
Wolfgang Sieghart Austria 35 2.6k 1.2× 1.8k 1.4× 999 1.2× 767 0.9× 798 1.1× 87 4.7k

Countries citing papers authored by Bang‐De Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Bang‐De Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bang‐De Xiang. 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 Bang‐De Xiang. The network helps show where Bang‐De Xiang may publish in the future.

Co-authorship network of co-authors of Bang‐De Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Bang‐De Xiang. A scholar is included among the top collaborators of Bang‐De Xiang 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 Bang‐De Xiang. Bang‐De Xiang 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
2.
Wu, Zongze, Nannan Li, Guoliang Xie, et al.. (2025). CK19 protein expression: the best cutoff value on the prognosis and the prognosis model of hepatocellular carcinoma. BMC Cancer. 25(1). 55–55. 3 indexed citations
3.
Fu, Hongyuan, et al.. (2025). Pan-Immune-Inflammation Value as a Prognostic Biomarker for Hepatocellular Carcinoma Patients Undergoing Hepatectomy. Journal of Inflammation Research. Volume 18. 6411–6425.
4.
Yi, Peng, Shuang Shen, Yifei Feng, et al.. (2025). Prognostic analysis and limited efficacy of adjuvant TACE in hepatocellular carcinoma following hepatectomy: a propensity score-matched study. Langenbeck s Archives of Surgery. 410(1). 92–92.
6.
Zhan, Lu, et al.. (2023). High Platelet Count is a Potential Prognostic Factor of the Early Recurrence of Hepatocellular Carcinoma in the Presence of Circulating Tumor Cells. Journal of Hepatocellular Carcinoma. Volume 10. 57–68. 4 indexed citations
7.
Xiang, Bang‐De, et al.. (2023). Is hepatectomy feasible for hepatocellular carcinoma patients with clinically significant portal hypertension and beyond the Milan criteria?. European Journal of Surgical Oncology. 49(11). 107073–107073. 1 indexed citations
9.
Wang, Kun, Tianqiang Song, Maohui Chen, et al.. (2023). 169P Conversion response and prognostic factors in HCC patients with macrovascular invasion treated with atezolizumab plus bevacizumab. Annals of Oncology. 34. S1541–S1541. 3 indexed citations
11.
Zhong, Jian‐Hong, et al.. (2022). Association of CK19 expression with efficacy of adjuvant TACE after hepatic resection in hepatocellular carcinoma patients at high risk of recurrence. Journal of Clinical and Translational Research. 2 indexed citations
12.
Li, Minjun, Rong‐Rui Huo, Xiumei Liang, et al.. (2021). Clinical effect of re-hepatic resection versus radiofrequency ablation in treatment of recurrent hepatocellular carcinoma in Asia: A Meta-analysis. 37(5). 1103–1109. 1 indexed citations
13.
Li, Minjun, Qing Li, Rong‐Rui Huo, et al.. (2020). Serum prealbumin predicts prognosis of hepatectomy in patients with hepatocellular carcinoma. Zhonghua gan-dan waike zazhi. 26(1). 27–31. 2 indexed citations
14.
Zhong, Jian‐Hong, et al.. (2019). Paraneoplastic Syndrome May be a Favorable Prognostic Factor in Patients with Hepatocellular Carcinoma Following Hepatectomy. 2(1). 2 indexed citations
15.
Zhong, Jian‐Hong, Kang Chen, Bhavesh K. Ahir, et al.. (2018). Transarterial embolization for hepatocellular adenomas: Case report and literature review. SHILAP Revista de lepidopterología.
16.
Qi, Lu‐Nan, Bang‐De Xiang, Feixiang Wu, et al.. (2018). Circulating Tumor Cells Undergoing EMT Provide a Metric for Diagnosis and Prognosis of Patients with Hepatocellular Carcinoma. Cancer Research. 78(16). 4731–4744. 226 indexed citations
17.
Chan, Anthony W.H., Jian‐Hong Zhong, Sarah Berhane, et al.. (2018). Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resection. Journal of Hepatology. 69(6). 1284–1293. 349 indexed citations breakdown →
18.
Yuan, Shengxian, Jie Wang, Yuan Yang, et al.. (2016). The Prediction of Clinical Outcome in Hepatocellular Carcinoma Based on a Six-Gene Metastasis Signature. Clinical Cancer Research. 23(1). 289–297. 27 indexed citations
19.
Guo, Zhe, Jinghang Jiang, Haojie Yang, et al.. (2015). COX-2 Promotes Migration and Invasion by the Side Population of Cancer Stem Cell-Like Hepatocellular Carcinoma Cells. Medicine. 94(44). e1806–e1806. 42 indexed citations
20.
Ma, Liang, et al.. (2013). Impact of treatment strategies on patients with hepatocellular carcinoma of less than 10 cm but with portal vein tumor thrombus. Zhonghua gan-dan waike zazhi. 19(3). 165–170. 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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