Boheng Zhang

6.3k total citations · 1 hit paper
83 papers, 4.1k citations indexed

About

Boheng Zhang is a scholar working on Hepatology, Surgery and Cancer Research. According to data from OpenAlex, Boheng Zhang has authored 83 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hepatology, 27 papers in Surgery and 23 papers in Cancer Research. Recurrent topics in Boheng Zhang's work include Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers) and Liver Disease Diagnosis and Treatment (17 papers). Boheng Zhang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers) and Liver Disease Diagnosis and Treatment (17 papers). Boheng Zhang collaborates with scholars based in China, Ethiopia and United States. Boheng Zhang's co-authors include Zhao–You Tang, Bing‐Hui Yang, Xin Yin, Zhenggang Ren, Shuang–Jian Qiu, Jia Fan, Lan Zhang, Su-Su Zheng, Sheng‐Long Ye and Xiaoying Xie and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Boheng Zhang

81 papers receiving 4.1k citations

Hit Papers

Randomized controlled trial of screening for hepatocellul... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boheng Zhang China 33 2.2k 1.6k 1.1k 1.0k 982 83 4.1k
Jian‐Hong Zhong China 33 2.5k 1.2× 1.5k 0.9× 987 0.9× 943 0.9× 706 0.7× 178 4.3k
Thomas Decaens France 31 2.3k 1.0× 1.3k 0.8× 720 0.7× 591 0.6× 1.1k 1.2× 141 3.9k
Baogang Peng China 32 1.7k 0.8× 880 0.6× 1.2k 1.1× 875 0.8× 1.0k 1.0× 103 3.6k
Arndt Vogel Germany 8 2.5k 1.1× 1.3k 0.8× 831 0.8× 799 0.8× 730 0.7× 19 3.8k
Tohru Utsunomiya Japan 37 1.3k 0.6× 880 0.6× 1.7k 1.6× 839 0.8× 1.5k 1.5× 166 4.3k
Min-Shan Chen China 32 3.3k 1.5× 1.9k 1.2× 1.4k 1.3× 896 0.9× 720 0.7× 58 5.3k
Minshan Chen China 35 3.1k 1.4× 1.4k 0.9× 1.3k 1.2× 1.0k 1.0× 889 0.9× 190 5.1k
Sadahisa Ogasawara Japan 26 3.0k 1.4× 1.4k 0.9× 1.3k 1.2× 547 0.5× 500 0.5× 137 4.1k
Su Pin Choo Singapore 34 2.3k 1.1× 820 0.5× 1.7k 1.6× 751 0.7× 893 0.9× 135 4.4k
Max W. Sung United States 26 2.2k 1.0× 836 0.5× 1.6k 1.5× 503 0.5× 625 0.6× 82 4.0k

Countries citing papers authored by Boheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Boheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Boheng Zhang. A scholar is included among the top collaborators of Boheng 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 Boheng Zhang. Boheng Zhang 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
3.
Chen, Shengquan, Boheng Zhang, Xiaoyang Chen, Zhang Xuegong, & Rui Jiang. (2021). stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics. Bioinformatics. 37(Supplement_1). i299–i307. 66 indexed citations
4.
Zheng, Su-Su, Xiaoying Xie, Yanfang Wu, et al.. (2021). Identification of a Pyroptosis-Related Gene Signature for Predicting Overall Survival and Response to Immunotherapy in Hepatocellular Carcinoma. Frontiers in Genetics. 12. 789296–789296. 18 indexed citations
5.
Jing, Chuyu, Yi‐Peng Fu, Cheng Zhou, et al.. (2021). Hepatic stellate cells promote intrahepatic cholangiocarcinoma progression via NR4A2/osteopontin/Wnt signaling axis. Oncogene. 40(16). 2910–2922. 17 indexed citations
6.
Zhang, Quanbao, Qingan Jia, Yang Bu, et al.. (2015). Herbal Compound Songyou Yin and Moderate Swimming Suppress Growth and Metastasis of Liver Cancer by Enhancing Immune Function. Integrative Cancer Therapies. 15(3). 368–375. 28 indexed citations
7.
Xue, Tong‐Chun, Boheng Zhang, Sheng‐Long Ye, & Zhenggang Ren. (2015). Differentially expressed gene profiles of intrahepatic cholangiocarcinoma, hepatocellular carcinoma, and combined hepatocellular-cholangiocarcinoma by integrated microarray analysis. Tumor Biology. 36(8). 5891–5899. 33 indexed citations
8.
Xue, Tong‐Chun, Fan Le, Rongxin Chen, et al.. (2015). Transarterial chemoembolization for huge hepatocellular carcinoma with diameter over ten centimeters: a large cohort study. Medical Oncology. 32(3). 64–64. 44 indexed citations
9.
10.
Wang, Xiangyu, Hong Jiang, Leilei Cheng, et al.. (2014). Analysis of the scientific research situation of young doctors in a general hospital. 27(2). 191–194. 1 indexed citations
11.
Xue, Tong‐Chun, Lan Zhang, Ningling Ge, et al.. (2014). Prognostic Significance of the Neutrophil-to-Lymphocyte Ratio in Primary Liver Cancer: A Meta-Analysis. PLoS ONE. 9(5). e96072–e96072. 102 indexed citations
12.
Yin, Xin, Yiwei Li, Jianjun Jin, et al.. (2013). The clinical and prognostic implications of pluripotent stem cell gene expression in hepatocellular carcinoma. Oncology Letters. 5(4). 1155–1162. 42 indexed citations
13.
Yin, Xin, Boheng Zhang, Shuang–Jian Qiu, et al.. (2012). Combined Hepatocellular Carcinoma and Cholangiocarcinoma: Clinical Features, Treatment Modalities, and Prognosis. Annals of Surgical Oncology. 19(9). 2869–2876. 173 indexed citations
14.
Yin, Xin, Boheng Zhang, Xiaohong Chen, Zhenggang Ren, & Sheng‐Long Ye. (2011). Clinicopathological features and prognostic study of 115 patients with combined hepatocellular and cholangiocarcinoma. Zhonghua xiaohua zazhi. 31(2). 73–76. 1 indexed citations
15.
Zhang, Boheng. (2011). A survey of content and form of evidence-based nursing education in Shanghai. 1 indexed citations
16.
Yang, Xin‐Rong, Yang Xu, Bin Yu, et al.. (2009). CD24 Is a Novel Predictor for Poor Prognosis of Hepatocellular Carcinoma after Surgery. Clinical Cancer Research. 15(17). 5518–5527. 129 indexed citations
17.
Cai, Ming‐Yan, Yongfeng Xu, Shuang‐Jian Qiu, et al.. (2009). Human Leukocyte Antigen-G Protein Expression Is an Unfavorable Prognostic Predictor of Hepatocellular Carcinoma following Curative Resection. Clinical Cancer Research. 15(14). 4686–4693. 86 indexed citations
18.
Zhang, Hui, Qing‐Hai Ye, Ning Ren, et al.. (2006). The prognostic significance of preoperative plasma levels of osteopontin in patients with hepatocellular carcinoma. Journal of Cancer Research and Clinical Oncology. 132(11). 709–717. 72 indexed citations
19.
Zhang, Boheng, Bing‐Hui Yang, & Zhao–You Tang. (2004). Randomized controlled trial of screening for hepatocellular carcinoma. Journal of Cancer Research and Clinical Oncology. 130(7). 417–22. 1049 indexed citations breakdown →
20.
Zhou, Xin‐Da, Zhao–You Tang, Ye‐Qin Yu, et al.. (1995). Characteristics and prognosis of primary liver cancer in young patients in China. Journal of Gastroenterology. 30(5). 632–635. 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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