Ming‐De Lu

7.4k citations
226 papers · 5.6k · h-index 43

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 79
    • Liver Disease and Transplantation 9
    • Cholangiocarcinoma and Gallbladder Cancer Studies 30

Ming‐De Lu

219 papers receiving 5.5k citations

Peers

Ming‐De Lu
Comparison fields: 5 of 126
  • Hepatology 2.5k
  • Health Informatics 60
  • Radiology, Nuclear Medicine and Imaging 877
  • Epidemiology 1.1k
  • Surgery 1.1k
Replace Aya Kamaya with:
Aya Kamaya United States
Seung Soo Lee South Korea
So Yeon Kim South Korea
Vahid Yaghmai United States
Khaled M. Elsayes United States
Rita Golfieri Italy
Ijin Joo South Korea
Yi Dong China
Gianpaolo Carrafiello Italy
Maxime Ronot France
Ming‐De Lu relative to Aya Kamaya United States Aya Kamaya's profile →
Citations per field
00.5×3.4×
Aya Kamaya · 1×
Citations per year

Countries citing papers authored by Ming‐De Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐De Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐De Lu. 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 Ming‐De Lu. The network helps show where Ming‐De Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐De Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐De Lu Line = papers co-authored together Ming‐De Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005190
2 2018156
3 2001149
4
[Surgical resection versus percutaneous thermal ablation for early-stage hepatocellular carcinoma: a randomized clinical trial].
2006149
5 2019143
6 2007141
7 2009130
8 2009125
9 2009107
10 201898
11 200789
12 201087
13 201482
14 201880
15 201578
16 200578
17 200476
18 201469
19 200669
20 201764

About Ming‐De Lu

Ming‐De Lu is a scholar working on Hepatology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 226 papers that have together received 5.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (79 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (30 papers), Liver Disease Diagnosis and Treatment (19 papers), Ultrasound and Hyperthermia Applications (13 papers), Liver Disease and Transplantation (9 papers), Gallbladder and Bile Duct Disorders (8 papers), MRI in cancer diagnosis (7 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (2.5k citations), Health Informatics (60 citations), Radiology, Nuclear Medicine and Imaging (877 citations), Epidemiology (1.1k citations) and Surgery (1.1k citations). Ming‐De Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoyan Xie, Guangjian Liu, Zuo‐Feng Xu, Wei Wang, Hui‐Xiong Xu, Jinyu Liang, Li‐Da Chen, Ming Kuang, Ming Kuang and Yanling Zheng. Their work appears in journals such as European Radiology, Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Radiology and Abdominal Radiology.

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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