Minggen Hu

1.7k total citations
81 papers, 1.0k citations indexed

About

Minggen Hu is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Minggen Hu has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Surgery, 38 papers in Oncology and 31 papers in Hepatology. Recurrent topics in Minggen Hu's work include Pancreatic and Hepatic Oncology Research (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (29 papers) and Hepatocellular Carcinoma Treatment and Prognosis (29 papers). Minggen Hu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (29 papers) and Hepatocellular Carcinoma Treatment and Prognosis (29 papers). Minggen Hu collaborates with scholars based in China, Hong Kong and Philippines. Minggen Hu's co-authors include Rong Liu, Guodong Zhao, Chenggang Li, Zhiming Zhao, Tan X, Xiuping Zhang, Zhiming Zhao, Ying Luo, Wan Yee Lau and Shuai Xu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Minggen Hu

77 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minggen Hu China 18 503 433 370 326 164 81 1.0k
Satoshi Ogiso Japan 20 706 1.4× 501 1.2× 645 1.7× 269 0.8× 196 1.2× 111 1.3k
Hyo Jeong Kang South Korea 21 372 0.7× 665 1.5× 290 0.8× 270 0.8× 221 1.3× 86 1.4k
Alexander Rehders Germany 15 608 1.2× 570 1.3× 150 0.4× 596 1.8× 97 0.6× 57 1.2k
Daphne Hompes Belgium 19 366 0.7× 302 0.7× 92 0.2× 322 1.0× 55 0.3× 44 836
Noriko Sakaida Japan 17 333 0.7× 455 1.1× 229 0.6× 256 0.8× 255 1.6× 45 1.2k
María Gómez Galdón Belgium 14 225 0.4× 487 1.1× 74 0.2× 156 0.5× 67 0.4× 31 732
John A. Conti United Kingdom 14 619 1.2× 1.1k 2.5× 675 1.8× 305 0.9× 112 0.7× 25 1.6k
Naoko Hayashi Japan 17 273 0.5× 691 1.6× 126 0.3× 317 1.0× 61 0.4× 40 1.1k
J. Göhl Germany 16 481 1.0× 914 2.1× 106 0.3× 261 0.8× 176 1.1× 53 1.1k
Jiachang Chi China 18 261 0.5× 357 0.8× 277 0.7× 227 0.7× 141 0.9× 49 943

Countries citing papers authored by Minggen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Minggen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minggen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Minggen Hu. A scholar is included among the top collaborators of Minggen Hu 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 Minggen Hu. Minggen Hu 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.
Wang, Jing, Zherui Liu, Zhaohai Wang, et al.. (2025). Enhanced Antitumor Immunity Through T Cell Activation with Optimized Tandem Double-OX40L mRNAs. International Journal of Nanomedicine. Volume 20. 3607–3621. 3 indexed citations
2.
Chen, Kuang, Jiarui Chen, Jinfeng Li, et al.. (2024). Deep Neural Network and Radiomics-based Magnetic Resonance Imaging System for Predicting Microvascular Invasion in Hepatocellular Carcinoma. Journal of Cancer. 15(19). 6223–6231.
3.
Zhang, Xiuping, Bozhao Li, Zefang Lu, et al.. (2023). Nanoparticle-based combination of LMWH and doxorubicin for the efficient treatment of hepatocellular carcinoma with portal vein tumor thrombus. Nano Today. 49. 101787–101787. 6 indexed citations
4.
Gao, Yuan-Xing, et al.. (2023). Robotic versus laparoscopic surgery for sporadic benign insulinoma: Short- and long-term outcomes. Hepatobiliary & pancreatic diseases international. 23(4). 399–405. 3 indexed citations
5.
6.
Liu, Rong, Guodong Zhao, Xiuping Zhang, et al.. (2022). Single-port robotic-assisted hepatic caudate lobectomy using the da Vinci SP® system: A case report. SHILAP Revista de lepidopterología. 2. 10–13. 5 indexed citations
7.
Zhang, Xiuping, Yuan-Xing Gao, Shuai Xu, et al.. (2022). A novel online calculator to predict early recurrence and long-term survival of patients with resectable pancreatic ductal adenocarcinoma after pancreaticoduodenectomy: A multicenter study. International Journal of Surgery. 106. 106891–106891. 10 indexed citations
8.
Zhao, Guodong, Xiuping Zhang, Minggen Hu, et al.. (2022). Step-by-step and orderly lowering of the height of inferior vena cava tumor thrombus is the key to robot-assisted thrombectomy for Mayo III/IV tumor thrombus. BMC Cancer. 22(1). 151–151. 6 indexed citations
9.
Hu, Minggen, et al.. (2021). First two-stage robotic ALPPS in HCC patients with hepatic vein invasion: a step-by-step procedure from a clinical case. World Journal of Surgical Oncology. 19(1). 58–58. 9 indexed citations
10.
Zou, Wenbo, Zizheng Wang, Tan X, et al.. (2021). A Novel Nomogram Based on Log Odds of Metastatic Lymph Nodes to Predict Overall Survival in Patients With Perihilar Cholangiocarcinoma After Surgery. Frontiers in Oncology. 11. 649699–649699. 6 indexed citations
11.
Liu, Qu, Tao Zhang, Minggen Hu, et al.. (2020). Comparison of the learning curves for robotic left and right hemihepatectomy: A prospective cohort study. International Journal of Surgery. 81. 19–25. 13 indexed citations
12.
Hu, Minggen, Yanzhe Liu, Chenggang Li, et al.. (2019). Robotic versus laparoscopic liver resection in complex cases of left lateral sectionectomy. International Journal of Surgery. 67. 54–60. 36 indexed citations
13.
Huang, Qingbo, Cheng Peng, Hongzhao Li, et al.. (2019). The experience of robot-assisted thrombectomy in treating renal tumor with Mayo level III to IV inferior vena caval thrombus (report of 5 cases). Zhonghua miniao waike zazhi. 40(2). 81–85.
14.
Hu, Minggen, et al.. (2018). Leukemia-related protein 16 (LRP16) promotes tumor growth and metastasis in pancreatic cancer. OncoTargets and Therapy. Volume 11. 1215–1222. 5 indexed citations
15.
Wang, Haiyi, Zhanbo Wang, Minggen Hu, et al.. (2018). Differentiation between pancreatic metastases from clear cell renal cell carcinoma and pancreatic neuroendocrine tumor using double-echo chemical shift imaging. Abdominal Radiology. 43(10). 2712–2720. 8 indexed citations
16.
Wang, Xuefei, Minggen Hu, Zhiming Zhao, et al.. (2016). An Improved Surgical Technique for Pure Laparoscopic Left Hemihepatectomy: Ten Years Experience in a Tertiary Center. Journal of Laparoendoscopic & Advanced Surgical Techniques. 26(11). 862–869. 2 indexed citations
17.
Wu, Yongjie, et al.. (2015). [Preoperative neutrophil-lymphocyte ratio as an independent prognostic predictor for pancreatic cancer].. PubMed. 95(28). 2291–3. 1 indexed citations
18.
19.
20.
Hu, Minggen, et al.. (2011). Retroperitoneal Laparoscopic Hepatectomy. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 21(5). e245–e248. 8 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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