Daniel Tang

2.1k citations
71 papers · 1.3k · h-index 18

Impact in

Papers in

    • Mechanical Circulatory Support Devices 44
    • Cardiac Structural Anomalies and Repair 29
    • Transplantation: Methods and Outcomes 13

Daniel Tang

64 papers receiving 1.2k citations

Peers

Daniel Tang
Comparison fields: 5 of 99
  • Emergency Medicine 156
  • Cardiology and Cardiovascular Medicine 319
  • Surgery 511
  • Biomedical Engineering 411
  • Transplantation 22
Replace Chitaru Kurihara with:
Chitaru Kurihara United States
Thorsten Wittwer Germany
Marc E. Richmond United States
Gerhard Poelzl Austria
Paulo Manuel Pêgo‐Fernandes Brazil
Katsuhide Maeda United States
Elizabeth A. Frazier United States
Michiel E. Erasmus Netherlands
David W. Markham United States
Sandra Eifert Germany
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Citations per field
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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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999348
2 201897
3 200470
4 201465
5 201758
6 202156
7 200948
8 202147
9 201545
10 201528
11 200627
12 201127
13 201325
14 201224
15 202423
16 201621
17 202318
18 202118
19 201115
20
A porcine beating heart model for robotic coronary artery surgery.
200315

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 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (44 papers), Cardiac Structural Anomalies and Repair (29 papers), Transplantation: Methods and Outcomes (13 papers), Cardiac pacing and defibrillation studies (10 papers), Cardiac Arrest and Resuscitation (10 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 (156 citations), Cardiology and Cardiovascular Medicine (319 citations), Surgery (511 citations), Biomedical Engineering (411 citations) and Transplantation (22 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, John L. Cameron, Jeffrey S. Bender, Toby A. Gordon, Keith D. Lillemoe, Michael A. Choti, Howard S. Kaufman and John W. Harmon. 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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