Daniel Tang

2.1k citations
69 papers · 1.2k · h-index 18

Impact in

Papers in

    • Mechanical Circulatory Support Devices 42
    • Cardiac Structural Anomalies and Repair 27
    • Transplantation: Methods and Outcomes 12

Daniel Tang

61 papers receiving 1.2k citations

Peers

Daniel Tang
Comparison fields: 5 of 96
  • Emergency Medicine 144
  • Cardiology and Cardiovascular Medicine 293
  • Surgery 475
  • Biomedical Engineering 380
  • Transplantation 20
Replace Chitaru Kurihara with:
Chitaru Kurihara United States
Thorsten Wittwer Germany
Gerhard Poelzl Austria
Marc E. Richmond United States
Paulo Manuel Pêgo‐Fernandes Brazil
Michiel E. Erasmus Netherlands
Sandra Eifert Germany
David W. Markham United States
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Citations per field
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Chitaru Kurihara · 1×
Citations per year

Countries citing papers authored by Daniel Tang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999338
2 201892
3 201465
4 200464
5 201757
6 202154
7 200947
8 202147
9 201542
10 201528
11 200627
12 201325
13 202423
14 201221
15 201120
16 201619
17 202318
18 202118
19
A porcine beating heart model for robotic coronary artery surgery.
200314
20 201113

About Daniel Tang

Daniel Tang is a scholar working on Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (42 papers), Cardiac Structural Anomalies and Repair (27 papers), Transplantation: Methods and Outcomes (12 papers), Cardiac pacing and defibrillation studies (10 papers), Cardiac Arrest and Resuscitation (9 papers), Cardiac Valve Diseases and Treatments (7 papers), Aortic Disease and Treatment Approaches (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Emergency Medicine (144 citations), Cardiology and Cardiovascular Medicine (293 citations), Surgery (475 citations), Biomedical Engineering (380 citations) and Transplantation (20 citations). Daniel Tang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vigneshwar Kasirajan, Keyur B. Shah, Mark D. Duncan, Howard S. Kaufman, Jeffrey S. Bender, Toby A. Gordon, Michael A. Choti, Keith D. Lillemoe, John L. Cameron and Thomas Magnuson. Their work appears in journals such as The Journal of Heart and Lung Transplantation, ASAIO Journal, Journal of Cardiac Failure, The Annals of Thoracic Surgery and CHEST Journal.

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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