T. Song

1.7k citations
122 papers · 1.0k · h-index 19

Impact in

Papers in

    • Mechanical Circulatory Support Devices 59
    • Cardiac Structural Anomalies and Repair 44
    • Transplantation: Methods and Outcomes 13

T. Song

104 papers receiving 980 citations

Peers

T. Song
Comparison fields: 5 of 114
  • Emergency Medicine 255
  • Marketing 118
  • Biomedical Engineering 548
  • Surgery 476
  • Business and International Management 17
Replace Massimo Bonacchi with:
Massimo Bonacchi Italy
Steven M. Bragg United States
Vincent Mak United Kingdom
John H. Stevens United States
Richa Agarwal United States
Sangjin Lee United States
Luigi Pugliese Italy
Frank Willem Jansen Netherlands
John Brady United States
Friedrich Kaufmann Germany
T. Song relative to Massimo Bonacchi Italy Massimo Bonacchi's profile →
Citations per field
00.5×4.3×
Massimo Bonacchi · 1×
Citations per year

Countries citing papers authored by T. Song

Since Specialization
Citations

This map shows the geographic impact of T. Song'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 T. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Song more than expected).

Fields of papers citing papers by T. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2 201853
3 201553
4 201842
5 201742
6 200337
7 200029
8 201628
9 201828
10 202026
11 201826
12 201725
13 202125
14 199823
15 202022
16 201719
17 202019
18 199719
19 201918
20 202018

About T. Song

T. Song is a scholar working on Biomedical Engineering, Surgery, Emergency Medicine, Cardiology and Cardiovascular Medicine and Marketing, having authored 122 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (59 papers), Cardiac Structural Anomalies and Repair (44 papers), Cardiac Arrest and Resuscitation (27 papers), Transplantation: Methods and Outcomes (13 papers), Customer Service Quality and Loyalty (11 papers), Consumer Behavior in Brand Consumption and Identification (9 papers), Digital Marketing and Social Media (8 papers) and Heart Failure Treatment and Management (8 papers). The work is most often cited by research in Emergency Medicine (255 citations), Marketing (118 citations), Biomedical Engineering (548 citations), Surgery (476 citations) and Business and International Management (17 citations). T. Song has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Valluvan Jeevanandam, Gene Kim, Takeyoshi Ota, Nir Uriel, Shijin Yoo, G. Sayer, J. Raikhelkar, Teruhiko Imamura, D. Rodgers and C. Juricek. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The Annals of Thoracic Surgery, Journal of Cardiac Failure, ASAIO Journal and International Journal of Heat and Mass Transfer.

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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