Mingming Lu

29 papers receiving 214 citations

Peers

Mingming Lu
Comparison fields: 5 of 53
  • Pulmonary and Respiratory Medicine 148
  • Cardiology and Cardiovascular Medicine 92
  • Rheumatology 60
  • Neurology 54
  • Psychiatry and Mental health 36
Replace Kaijiang Kang with:
Kaijiang Kang China
Joel Cohn United States
L Irace Italy
Daniel Guisado‐Alonso Spain
Neil Rane United Kingdom
Mikel Terceño Spain
Ka Lung Chan Hong Kong
Kimitoshi Sato Japan
Marco Papa Italy
Cristiano Azzini Italy
Mingming Lu relative to Kaijiang Kang China Kaijiang Kang's profile →
Citations per field
00.5×3.2×
Kaijiang Kang · 1×
Citations per year

Countries citing papers authored by Mingming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingming 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 Mingming Lu Line = papers co-authored together Mingming Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201925
3 201814
4 202213
5 202112
6 202311
7 20228
8 20197
9 20216
10 20236
11 20236
12 20186
13 20255
14 20245
15 20244
16 20194
17 20174
18 20224
19 20233
20 20243

About Mingming Lu

Mingming Lu is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Cardiology and Cardiovascular Medicine, Psychiatry and Mental health and Neurology, having authored 34 papers that have together received 216 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (16 papers), Moyamoya disease diagnosis and treatment (12 papers), Cardiovascular Health and Disease Prevention (9 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Neurological Complications and Syndromes (8 papers), Acute Ischemic Stroke Management (5 papers), Advanced MRI Techniques and Applications (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (148 citations), Cardiology and Cardiovascular Medicine (92 citations), Rheumatology (60 citations), Neurology (54 citations) and Psychiatry and Mental health (36 citations). Mingming Lu has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Jianming Cai, Xihai Zhao, Peng Peng, Yuanyuan Cui, Huiyu Qiao, Dongye Li, Fugeng Sheng, Dongqing Liu, Cong Han and Yao He. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Journal of Atherosclerosis and Thrombosis, Energies and World Neurosurgery.

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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