Ji-Hai Yu

601 total citations
19 papers, 483 citations indexed

About

Ji-Hai Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ji-Hai Yu has authored 19 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ji-Hai Yu's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer Mechanisms and Therapy (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Ji-Hai Yu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer Mechanisms and Therapy (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Ji-Hai Yu collaborates with scholars based in China. Ji-Hai Yu's co-authors include Ge‐Liang Xu, Weidong Jia, Jinliang Ma, Yongsheng Ge, Weihua Ren, Jiansheng Li, Wenbin Liu, Qikai Sun, Wenbin Liu and Zhihua Wang and has published in prestigious journals such as Breast Cancer Research and Treatment, Digestive Diseases and Sciences and Journal of Surgical Research.

In The Last Decade

Ji-Hai Yu

18 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji-Hai Yu China 12 276 143 140 71 68 19 483
Masako Kamiyama Japan 13 243 0.9× 165 1.2× 178 1.3× 36 0.5× 55 0.8× 15 511
Michaela Bissinger Germany 11 387 1.4× 172 1.2× 101 0.7× 53 0.7× 45 0.7× 16 549
Gaelle del Castillo Spain 11 356 1.3× 98 0.7× 259 1.9× 45 0.6× 172 2.5× 14 611
Zhi Dai China 11 347 1.3× 214 1.5× 246 1.8× 59 0.8× 71 1.0× 16 744
Peng-Chan Lin Taiwan 15 204 0.7× 130 0.9× 245 1.8× 64 0.9× 69 1.0× 30 540
Verena Proell Austria 9 272 1.0× 76 0.5× 237 1.7× 72 1.0× 145 2.1× 9 510
Guangyan Zhangyuan China 13 349 1.3× 219 1.5× 113 0.8× 87 1.2× 54 0.8× 16 549
Hongzhi Zou United States 6 489 1.8× 146 1.0× 101 0.7× 66 0.9× 110 1.6× 8 700
Donald P. Lesslie United States 8 397 1.4× 125 0.9× 353 2.5× 20 0.3× 60 0.9× 11 687

Countries citing papers authored by Ji-Hai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Hai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Hai Yu. 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 Ji-Hai Yu. The network helps show where Ji-Hai Yu may publish in the future.

Co-authorship network of co-authors of Ji-Hai Yu

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

All Works

19 of 19 papers shown
1.
Jia, Weidong, et al.. (2015). Clinical pathway of enhanced recovery after surgery in patients undergoing hepatectomy for primary liver cancer. Zhonghua putong waike zazhi. 30(11). 862–865. 2 indexed citations
2.
Liu, Guoyan, Wei Wang, Weidong Jia, et al.. (2014). Protective effect of S-adenosylmethionine on hepatic ischemia-reperfusion injury during hepatectomy in HCC patients with chronic HBV infection. World Journal of Surgical Oncology. 12(1). 27–27. 9 indexed citations
3.
Ge, Yongsheng, Dong Liu, Weidong Jia, et al.. (2014). Kindlin-2: A novel prognostic biomarker for patients with hepatocellular carcinoma. Pathology - Research and Practice. 211(3). 198–202. 18 indexed citations
4.
Pan, Tingting, Weidong Jia, Qikai Sun, et al.. (2014). Overexpression of HOXA13 as a Potential Marker for Diagnosis and Poor Prognosis of Hepatocellular Carcinoma. The Tohoku Journal of Experimental Medicine. 234(3). 209–219. 21 indexed citations
6.
Pan, Jingjing, Yongsheng Ge, Ge‐Liang Xu, et al.. (2013). The expression of YKL-40 in hepatocellular carcinoma and its clinical significance. Zhonghua gan-dan waike zazhi. 19(6). 433–437.
7.
Sun, Qikai, Jianyu Zhu, Wei Wang, et al.. (2013). Diagnostic and prognostic significance of peroxiredoxin 1 expression in human hepatocellular carcinoma. Medical Oncology. 31(1). 786–786. 53 indexed citations
8.
Lv, Yang, Weidong Jia, Qikai Sun, et al.. (2012). High-level expression of periostin is closely related to metastatic potential and poor prognosis of hepatocellular carcinoma. Medical Oncology. 30(1). 385–385. 42 indexed citations
9.
Huang, Qiang, et al.. (2011). Association between CTLA-4 Exon-1 +49A>G Polymorphism and Primary Biliary Cirrhosis Risk: A Meta-analysis. Archives of Medical Research. 42(3). 235–238. 7 indexed citations
10.
Huang, Qiang, et al.. (2011). IL-8-251A>T polymorphism is associated with breast cancer risk: a meta-analysis. Journal of Cancer Research and Clinical Oncology. 137(7). 1147–1150. 15 indexed citations
11.
Huang, Qiang, et al.. (2011). The association between IGF1 CA repeat polymorphisms and breast cancer risk: a meta-analysis. Breast Cancer Research and Treatment. 129(1). 191–194. 5 indexed citations
12.
Liu, Wenbin, Ge‐Liang Xu, Weidong Jia, et al.. (2010). Prognostic significance and mechanisms of patterned matrix vasculogenic mimicry in hepatocellular carcinoma. Medical Oncology. 28(S1). 228–238. 71 indexed citations
13.
Chen, Hao, Weidong Jia, Jiansheng Li, et al.. (2010). Extracellular matrix protein 1, a novel prognostic factor, is associated with metastatic potential of hepatocellular carcinoma. Medical Oncology. 28(S1). 318–325. 33 indexed citations
14.
Zhang, Chuanhai, Ge‐Liang Xu, Weidong Jia, et al.. (2010). Activation of STAT3 Signal Pathway Correlates with Twist and E-Cadherin Expression in Hepatocellular Carcinoma and Their Clinical Significance. Journal of Surgical Research. 174(1). 120–129. 48 indexed citations
15.
Li, Jiansheng, Ge‐Liang Xu, Weidong Jia, et al.. (2010). [Effects of celecoxib combined with fluvastatin on tumor growth and cell apoptosis in a xenograft model of hepatocellular carcinoma].. PubMed. 18(12). 900–4. 2 indexed citations
16.
Jia, Weidong, Ge‐Liang Xu, Wei Wang, et al.. (2009). A Somatostatin Analogue, Octreotide, Inhibits the Occurrence of Second Primary Tumors and Lung Metastasis after Resection of Hepatocellular Carcinoma in Mice. The Tohoku Journal of Experimental Medicine. 218(2). 155–160. 15 indexed citations
17.
Wang, Wei, Ge‐Liang Xu, Weidong Jia, et al.. (2009). Ligation of TLR2 by Versican: A Link Between Inflammation and Metastasis. Archives of Medical Research. 40(4). 321–323. 61 indexed citations
18.
Wang, Wei, Weidong Jia, Ge‐Liang Xu, et al.. (2008). Antitumoral Activity of Rapamycin Mediated Through Inhibition of HIF-1alpha and VEGF in Hepatocellular Carcinoma. Digestive Diseases and Sciences. 54(10). 2128–2136. 27 indexed citations
19.
Wang, Jian, Qiong Xue, Weidong Jia, et al.. (2003). Octreotide acts as an antitumor angiogenesis compound and suppresses tumor growth in nude mice bearing human hepatocellular carcinoma xenografts. Journal of Cancer Research and Clinical Oncology. 129(6). 327–334. 49 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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