Bei‐Ge Jiang

833 total citations
27 papers, 650 citations indexed

About

Bei‐Ge Jiang is a scholar working on Surgery, Hepatology and Molecular Biology. According to data from OpenAlex, Bei‐Ge Jiang has authored 27 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Hepatology and 8 papers in Molecular Biology. Recurrent topics in Bei‐Ge Jiang's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Bei‐Ge Jiang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Bei‐Ge Jiang collaborates with scholars based in China, Hong Kong and United States. Bei‐Ge Jiang's co-authors include Liang Sun, Weiping Zhou, Zhimin Liu, Junjie Zou, Yongquan Shi, Ze‐Ya Pan, Limei Li, Jian Huang, Yuan Yang and Fangming Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Clinical Cancer Research.

In The Last Decade

Bei‐Ge Jiang

26 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei‐Ge Jiang China 15 308 219 168 135 111 27 650
Binsheng Fu China 17 414 1.3× 272 1.2× 139 0.8× 254 1.9× 173 1.6× 49 874
Zunqiang Xiao China 13 242 0.8× 205 0.9× 82 0.5× 99 0.7× 59 0.5× 33 512
Daniel Caballero‐Díaz Spain 8 295 1.0× 123 0.6× 93 0.6× 180 1.3× 208 1.9× 9 706
Kanenori Endo Japan 17 369 1.2× 170 0.8× 332 2.0× 365 2.7× 132 1.2× 37 890
Aihua Yao China 14 198 0.6× 90 0.4× 219 1.3× 169 1.3× 169 1.5× 29 679
Xuyu Zhou China 14 228 0.7× 148 0.7× 203 1.2× 177 1.3× 39 0.4× 18 606
Binghai Zhou China 13 207 0.7× 175 0.8× 66 0.4× 129 1.0× 97 0.9× 24 499
Sedat Karademır Türkiye 16 253 0.8× 105 0.5× 246 1.5× 192 1.4× 137 1.2× 43 731
Hisanori Hatano Japan 9 318 1.0× 206 0.9× 128 0.8× 397 2.9× 120 1.1× 30 687
Amanda Mikels‐Vigdal United States 10 254 0.8× 174 0.8× 92 0.5× 206 1.5× 100 0.9× 14 662

Countries citing papers authored by Bei‐Ge Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Bei‐Ge Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei‐Ge Jiang. 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 Bei‐Ge Jiang. The network helps show where Bei‐Ge Jiang may publish in the future.

Co-authorship network of co-authors of Bei‐Ge Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei‐Ge Jiang. A scholar is included among the top collaborators of Bei‐Ge Jiang 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 Bei‐Ge Jiang. Bei‐Ge Jiang 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.
Huang, Jian, Zhenguang Wang, Qi-fei Tao, et al.. (2023). Efficacy and safety of Lenvatinib-based combination therapies for patients with unresectable hepatocellular carcinoma: a single center retrospective study. Frontiers in Immunology. 14. 1198562–1198562. 1 indexed citations
2.
Huang, Jian, Li Li, Fuchen Liu, et al.. (2023). Prognostic Analysis of Single Large Hepatocellular Carcinoma Following Radical Resection: A Single-Center Study. Journal of Hepatocellular Carcinoma. Volume 10. 573–586. 4 indexed citations
3.
Li, Limei, Bei‐Ge Jiang, & Liang Sun. (2022). HNF1A：From Monogenic Diabetes to Type 2 Diabetes and Gestational Diabetes Mellitus. Frontiers in Endocrinology. 13. 829565–829565. 37 indexed citations
4.
5.
6.
Yang, Yun, Meng‐chao Wang, Tian Tao, et al.. (2020). A High Preoperative Platelet-Lymphocyte Ratio Is a Negative Predictor of Survival After Liver Resection for Hepatitis B Virus-Related Hepatocellular Carcinoma: A Retrospective Study. Frontiers in Oncology. 10. 576205–576205. 18 indexed citations
7.
Li, Pengpeng, Mengchao Wang, Yuan Yang, et al.. (2020). Preoperative three-dimensional versus two-dimensional evaluation in assessment of patients undergoing major liver resection for hepatocellular carcinoma: a propensity score matching study. Annals of Translational Medicine. 8(5). 182–182. 8 indexed citations
8.
Jiang, Bei‐Ge. (2018). Early diagnosis and prevention of liver failure after hepatectomy. 7(5). 345–349.
9.
Sun, Liang, Tianjin Liu, Limei Li, et al.. (2017). Transplantation of betatrophin-expressing adipose-derived mesenchymal stem cells induces β-cell proliferation in diabetic mice. International Journal of Molecular Medicine. 39(4). 936–948. 24 indexed citations
10.
Wang, Changzheng, Hongwei Lv, Wen Yang, et al.. (2017). SVCT-2 determines the sensitivity to ascorbate-induced cell death in cholangiocarcinoma cell lines and patient derived xenografts. Cancer Letters. 398. 1–11. 36 indexed citations
11.
Wang, Jian, Zhitao Wu, Guoyu Pan, et al.. (2017). Enhanced doxorubicin delivery to hepatocellular carcinoma cells via CD147 antibody-conjugated immunoliposomes. Nanomedicine Nanotechnology Biology and Medicine. 14(6). 1949–1961. 40 indexed citations
12.
Liu, Tianjin, Liang Sun, Bei‐Ge Jiang, et al.. (2017). Lineage conversion of mouse fibroblasts to pancreatic α-cells. Experimental & Molecular Medicine. 49(6). e350–e350. 1 indexed citations
13.
Huang, Jian, Ze‐Ya Pan, Li Li, et al.. (2016). Hepatocellular carcinoma with inferior vena caval and right atrial tumor thrombi and massive pulmonary artery embolism: A case report. Molecular and Clinical Oncology. 6(1). 111–114. 8 indexed citations
14.
15.
Fang, Zheping, Bei‐Ge Jiang, Fabiao Zhang, et al.. (2014). Rpb3 promotes hepatocellular carcinoma through its N-terminus. Oncotarget. 5(19). 9256–9268. 9 indexed citations
16.
Zhang, Jin, Yun Yang, Tian Yang, et al.. (2014). Double‐negative feedback loop between MicroRNA‐422a and forkhead box (FOX)G1/Q1/E1 regulates hepatocellular carcinoma tumor growth and metastasis. Hepatology. 61(2). 561–573. 65 indexed citations
17.
Tang, Liang, Yexiong Tan, Bei‐Ge Jiang, et al.. (2013). The Prognostic Significance and Therapeutic Potential of Hedgehog Signaling in Intrahepatic Cholangiocellular Carcinoma. Clinical Cancer Research. 19(8). 2014–2024. 51 indexed citations
18.
Jiang, Bei‐Ge, et al.. (2013). P21-activated kinase 5 plays essential roles in the proliferation and tumorigenicity of human hepatocellular carcinoma. Acta Pharmacologica Sinica. 35(1). 82–88. 36 indexed citations
19.
Sun, Liang, et al.. (2010). MicroRNA-15a positively regulates insulin synthesis by inhibiting uncoupling protein-2 expression. Diabetes Research and Clinical Practice. 91(1). 94–100. 137 indexed citations
20.
Jiang, Bei‐Ge, Liangliang Sun, Wenlong Yu, et al.. (2009). Retrospective Analysis of Histopathologic Prognostic Factors After Hepatectomy for Intrahepatic Cholangiocarcinoma. The Cancer Journal. 15(3). 257–261. 21 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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