Daniel Y. Lu

789 citations
26 papers · 541 · h-index 12

Impact in

Papers in

    • Cardiac Structural Anomalies and Repair 6
    • Coronary Interventions and Diagnostics 2
    • Mechanical Circulatory Support Devices 10

Daniel Y. Lu

22 papers receiving 536 citations

Peers

Daniel Y. Lu
Comparison fields: 5 of 82
  • Aging 45
  • Emergency Medical Services 64
  • Statistics, Probability and Uncertainty 46
  • Hepatology 22
  • Emergency Medicine 23
Replace Jiyong Jing with:
Jiyong Jing China
Shu Qin China
Gina Portella Italy
Amir Bar‐Shai Israel
Himanshu Aggarwal United States
Matthew C. Madison United States
Serdal Kenan Köse Türkiye
Yi-Hung Chou Taiwan
Cosimo Tortorella Italy
Jordi Pérez‐López Spain
Daniel Y. Lu relative to Jiyong Jing China Jiyong Jing's profile →
Citations per field
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Jiyong Jing · 1×
Citations per year

Countries citing papers authored by Daniel Y. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Y. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 200987
3 201474
4 201343
5 202129
6 202420
7 202017
8 201416
9 202015
10 202015
11 201415
12 201412
13 201311
14 20218
15 20185
16 20165
17 20205
18 20235
19 20184
20 20222

About Daniel Y. Lu

Daniel Y. Lu is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 541 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (10 papers), Cardiac Structural Anomalies and Repair (6 papers), Vascular Procedures and Complications (2 papers), Coronary Interventions and Diagnostics (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Cardiac Arrest and Resuscitation (2 papers), Aortic aneurysm repair treatments (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Aging (45 citations), Emergency Medical Services (64 citations), Statistics, Probability and Uncertainty (46 citations), Hepatology (22 citations) and Emergency Medicine (23 citations). Daniel Y. Lu has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Clinton D. Protack, Alan Dardik, Willis T. Williams, Brian Wayda, Karthik Murugiah, Joseph S. Ross, Roland Assi, Nihar R. Desai, Ruijun Chen and Amit Mittal. Their work appears in journals such as The American Journal of Cardiology, Journal of the American Heart Association, The Journal of Heart and Lung Transplantation, Journal of Vascular Surgery and Journal of Surgical Research.

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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