Yuan Ji

11.6k total citations · 1 hit paper
244 papers, 5.9k citations indexed

About

Yuan Ji is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuan Ji has authored 244 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Oncology, 74 papers in Surgery and 66 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuan Ji's work include Pancreatic and Hepatic Oncology Research (51 papers), Hepatocellular Carcinoma Treatment and Prognosis (46 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (37 papers). Yuan Ji is often cited by papers focused on Pancreatic and Hepatic Oncology Research (51 papers), Hepatocellular Carcinoma Treatment and Prognosis (46 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (37 papers). Yuan Ji collaborates with scholars based in China, United States and Germany. Yuan Ji's co-authors include Jia Fan, Jian Zhou, Lingli Chen, Hui‐Chuan Sun, Shengxiang Rao, Xin‐Rong Yang, Shuang–Jian Qiu, Lijian Hui, Jiang Lin and Yang Xu and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Yuan Ji

236 papers receiving 5.8k citations

Hit Papers

Downstaging and Resection of Initially Unresectable Hepat... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Ji China 41 2.0k 1.6k 1.5k 1.5k 1.4k 244 5.9k
Cheol Keun Park South Korea 40 1.5k 0.7× 1.3k 0.8× 2.0k 1.3× 1.8k 1.2× 1.9k 1.3× 169 6.2k
Yutaka Takeda Japan 38 2.0k 1.0× 1.5k 1.0× 1.3k 0.9× 2.0k 1.4× 1.3k 0.9× 311 5.3k
Zhao‐Chong Zeng China 37 1.5k 0.7× 2.2k 1.4× 1.4k 0.9× 1.1k 0.7× 1.2k 0.8× 198 5.1k
Jun Akiba Japan 40 1.7k 0.9× 1.3k 0.8× 781 0.5× 1.0k 0.7× 963 0.7× 309 5.5k
Luca Di Tommaso Italy 38 1.6k 0.8× 1.2k 0.8× 1.5k 1.0× 916 0.6× 653 0.5× 162 4.7k
Baki Topal Belgium 40 2.5k 1.2× 1.4k 0.9× 843 0.6× 2.3k 1.5× 2.0k 1.4× 100 5.6k
Kenichi Wakasa Japan 40 1.5k 0.7× 1.2k 0.8× 2.2k 1.5× 1.5k 1.0× 872 0.6× 260 6.5k
Sanjay Kakar United States 52 3.0k 1.5× 1.5k 1.0× 1.5k 1.0× 2.3k 1.6× 1.3k 0.9× 165 6.9k
Lorenza Rimassa Italy 42 3.3k 1.6× 1.3k 0.8× 2.7k 1.8× 1.7k 1.2× 1.6k 1.1× 269 6.6k
Baogang Peng China 32 1.2k 0.6× 1.0k 0.6× 1.7k 1.1× 810 0.5× 688 0.5× 103 3.6k

Countries citing papers authored by Yuan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Ji. A scholar is included among the top collaborators of Yuan Ji 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 Yuan Ji. Yuan Ji 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.
He, Yifeng, Xiaowu Huang, Xiaoyong Huang, et al.. (2025). Graft PD-L1 as a predictive marker for rejection in PD-1 inhibitor therapy for recurrent liver tumors after transplant: A prospective pilot trial. Liver Transplantation. 32(2). 135–143.
2.
Liu, Yundan, Zixuan Guo, Yuan Ji, et al.. (2025). Stretchable and self-healing photoelectrochemical photodetectors based on Ti2CTx nanosheets hydrogels. Applied Materials Today. 42. 102577–102577. 5 indexed citations
3.
Xi, Yue, Kun Zheng, Yujun Liu, et al.. (2024). Themis: advancing precision oncology through comprehensive molecular subtyping and optimization. Briefings in Bioinformatics. 25(4). 2 indexed citations
4.
Zhao, Danyang, Yiying Liu, Yuan Ji, et al.. (2024). Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study. BMC Medicine. 22(1). 147–147. 3 indexed citations
5.
Sun, Hui‐Chuan, Xiao‐Dong Zhu, Ziyi Wang, et al.. (2024). Sintilimab plus bevacizumab followed by resection in intermediate-stage hepatocellular carcinoma: a phase Ib clinical trial with biomarker analysis. SHILAP Revista de lepidopterología. 3(1). e000578–e000578. 1 indexed citations
6.
Pan, Yiwen, Guoguo Shang, Yuwen Zhang, et al.. (2023). Case Report: A novel IRF2BP2 mutation in an IEI patient with recurrent infections and autoimmune disorders. Frontiers in Immunology. 14. 967345–967345. 2 indexed citations
7.
Zhang, Lili, Rui Xue, Jie Huang, et al.. (2023). Uterine inflammatory myofibroblastic tumor harboring novel NUDCD3-ROS1 and NRP2-ALK fusions: clinicopathologic features of 4 cases and literature review. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(3). 567–580. 9 indexed citations
8.
Guo, Dajing, Xiaojing He, Xi Liu, et al.. (2023). The MR Imaging of Primary Intrahepatic Lymphoepithelioma-like Cholangiocarcinoma: A Diagnostic Challenge. Diagnostics. 13(18). 2998–2998.
9.
Wang, Wentao, Li Yang, Zhaoxia Yang, et al.. (2019). MR features based on LI-RADS identify cytokeratin 19 status of hepatocellular carcinomas. European Journal of Radiology. 113. 7–14. 19 indexed citations
10.
Liu, Xiaoyu, Lingxiao Liu, Yuan Ji, et al.. (2019). Enrichment of short mutant cell-free DNA fragments enhanced detection of pancreatic cancer. EBioMedicine. 41. 345–356. 58 indexed citations
13.
Ge, Xiaowen, Haiying Zeng, Akesu Sujie, et al.. (2015). Hepatocellular carcinoma with concomitant hepatic angiomyolipoma and cavernous hemangioma in one patient. World Journal of Gastroenterology. 21(11). 3414–3419. 6 indexed citations
14.
Huang, Cheng Zhi, Guangyu Ding, Chengyu Gu, et al.. (2012). Decreased Selenium-Binding Protein 1 Enhances Glutathione Peroxidase 1 Activity and Downregulates HIF-1α to Promote Hepatocellular Carcinoma Invasiveness. Clinical Cancer Research. 18(11). 3042–3053. 83 indexed citations
15.
Cong, Wen‐Ming, Xiqi Hu, Yun-shan Tan, et al.. (2012). Expert consensus on the scheme of pathological diagnosis of primary liver cancer.. PubMed. 1(1). 12–12. 13 indexed citations
16.
Yun, Hong, Mengsu Zeng, He Wang, et al.. (2012). Evaluation of ADC measurements among solid pancreatic masses by respiratory-triggered diffusion-weighted MR imaging with inversion-recovery fat-suppression technique at 3.0T. Magnetic Resonance Imaging. 31(4). 524–528. 23 indexed citations
17.
Xu, Pengju, Fuhua Yan, Jianhua Wang, et al.. (2010). Contribution of Diffusion-Weighted Magnetic Resonance Imaging in the Characterization of Hepatocellular Carcinomas and Dysplastic Nodules in Cirrhotic Liver. Journal of Computer Assisted Tomography. 34(4). 506–512. 85 indexed citations
18.
Ji, Yuan, et al.. (2009). G-CSF Administration in a Small-for-Size Liver Model. Journal of Investigative Surgery. 22(3). 167–177. 20 indexed citations
19.
Zhou, Jianjun, et al.. (2008). Analysis of radiological features relative to pathology in pelvic chondrosarcoma. Zhonghua fangshexian yixue zazhi. 42(6). 632–635. 1 indexed citations
20.
Ji, Yuan, et al.. (2006). Imaging diagnosis of solid psedopapillary tumor of pancreas. Zhonghua fangshexian yixue zazhi. 40(8). 846–849. 1 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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