Bang‐De Xiang

6.5k citations
163 papers · 3.4k indexed · 1 hit paper · h-index 30
Topics
Hepatocellular Carcinoma Treatment and Prognosis (98 papers)Liver Disease Diagnosis and Treatment (55 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (44 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaUnited StatesJapan

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...20182026202020232018100200300

Peers

Bang‐De Xiang
Comparison fields: 5 of 107
  • Hepatology 2.1k
  • Epidemiology 1.3k
  • Oncology 842
  • Cancer Research 842
  • Surgery 743
Replace Kazuhiro Nouso with:
Kazuhiro Nouso Japan
Tohru Utsunomiya Japan
Hirohisa Okabe Japan
Boheng Zhang China
Kenichi Matsuo Japan
Takaaki Higashi Japan
Andrea Casadei‐Gardini Italy
Thomas Decaens France
Alex S. Befeler United States
Bang‐De Xiang relative to Kazuhiro Nouso Japan Kazuhiro Nouso's profile →
Citations per field
00.5×
Kazuhiro Nouso · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 3
3 0
4 0
5 0
6 4
7 1
8 4
9 3
10 15
11 2
12 1
13 2
14
Paraneoplastic Syndrome May be a Favorable Prognostic Factor in Patients with Hepatocellular Carcinoma Following Hepatectomy
2
15 0
16 226
17
Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resectionbreakdown →
349
18 27
19 42
20 2

About Bang‐De Xiang

Bang‐De Xiang is a scholar working on Hepatology, Cancer Research and Oncology, having authored 163 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (98 papers), Liver Disease Diagnosis and Treatment (55 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (44 papers). The work is most often cited by research in Hepatology (2.1k citations), Cancer Research (842 citations) and Epidemiology (1.3k citations). Bang‐De Xiang has collaborated with scholars based in China, United States and Japan. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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