Ming-Jen Lu

1.2k citations
24 papers · 988 · h-index 13

Impact in

Papers in

Ming-Jen Lu

20 papers receiving 949 citations

Peers

Ming-Jen Lu
Comparison fields: 5 of 59
  • Pharmacology 352
  • Cardiology and Cardiovascular Medicine 376
  • Sensory Systems 18
  • Nutrition and Dietetics 35
  • Pathology and Forensic Medicine 41
Replace Marcel Roos with:
Marcel Roos Germany
Amanda Garza United States
Márcia Martins Silveira Bernik Brazil
S-L Wang China
Machiko Yabana Japan
Jeroen Nijhuis Netherlands
Markus Frey Germany
Zuoguang Wang China
Ming-Jen Lu relative to Marcel Roos Germany Marcel Roos's profile →
Citations per field
00.5×5×11.4×
Marcel Roos · 1×
Citations per year

Countries citing papers authored by Ming-Jen Lu

Since Specialization
Citations

This map shows the geographic impact of Ming-Jen 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-Jen 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-Jen Lu more than expected).

Fields of papers citing papers by Ming-Jen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005408
2 201394
3 200687
4 200086
5 199954
6 201448
7 200545
8 201030
9 201528
10 201221
11 201321
12 200618
13 201615
14 202110
15 20127
16 20155
17 20154
18 20033
19 20053
20 20221

About Ming-Jen Lu

Ming-Jen Lu is a scholar working on Emergency Medical Services, Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 988 indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Cardiac Ischemia and Reperfusion (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Pulmonary Hypertension Research and Treatments (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Pharmacology (352 citations), Cardiology and Cardiovascular Medicine (376 citations), Sensory Systems (18 citations), Nutrition and Dietetics (35 citations) and Pathology and Forensic Medicine (41 citations). Ming-Jen Lu has collaborated with scholars based in Taiwan and China. Frequent co-authors include Chi‐Ren Hung, Ying‐Fu Chen, Chun-Yu Wei, Jin‐Jer Chen, Hsiang‐Yu Yuan, Yuan-Tsong Chen, Jer‐Yuarn Wu, Chien-Hsiun Chen, Min‐Ji Charng and Chia‐Hsun Lin. Their work appears in journals such as The Annals of Thoracic Surgery, Life Sciences, European Journal of Clinical Investigation, Journal of Vascular Surgery and Human Molecular Genetics.

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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