Carlos M. Li

424 total citations
9 papers, 317 citations indexed

About

Carlos M. Li is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Carlos M. Li has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Carlos M. Li's work include Cardiac Structural Anomalies and Repair (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Cardiac pacing and defibrillation studies (2 papers). Carlos M. Li is often cited by papers focused on Cardiac Structural Anomalies and Repair (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Cardiac pacing and defibrillation studies (2 papers). Carlos M. Li collaborates with scholars based in Canada, United States and Iran. Carlos M. Li's co-authors include Ray C.‐J. Chiu, Nader D. Nader, Adel Giaid, Marc Pelletier, Anthony L. Panos, Julia Dorfman, Ray Chu‐Jeng Chiu, Vinay Badhwar, Jin-Qiang Kuang and Victor Chu and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and Clinical Journal of Pain.

In The Last Decade

Carlos M. Li

9 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos M. Li Canada 7 162 145 88 83 59 9 317
Anna Bartunek Austria 9 84 0.5× 90 0.6× 32 0.4× 27 0.3× 42 0.7× 18 286
Jean-Louis Gérard France 12 78 0.5× 94 0.6× 63 0.7× 178 2.1× 31 0.5× 15 319
Ashwinikumar Pawade United Kingdom 11 146 0.9× 165 1.1× 29 0.3× 166 2.0× 99 1.7× 17 447
Patrizio Polisca Italy 12 155 1.0× 349 2.4× 21 0.2× 192 2.3× 20 0.3× 32 555
Lynne M.A. Dorsey United States 14 207 1.3× 215 1.5× 11 0.1× 199 2.4× 82 1.4× 22 479
Yuichi Ohgoshi Japan 13 182 1.1× 268 1.8× 36 0.4× 87 1.0× 116 2.0× 45 425
Michael R. Isley United States 9 135 0.8× 61 0.4× 34 0.4× 45 0.5× 13 0.2× 20 262
Shigeo Ohmura Japan 11 264 1.6× 58 0.4× 237 2.7× 50 0.6× 7 0.1× 20 483
Samuel L. Selinger United States 10 340 2.1× 373 2.6× 217 2.5× 82 1.0× 57 1.0× 13 642
Anne G. Vedel Denmark 10 119 0.7× 231 1.6× 32 0.4× 9 0.1× 20 0.3× 18 352

Countries citing papers authored by Carlos M. Li

Since Specialization
Citations

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

Fields of papers citing papers by Carlos M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos M. Li. 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 Carlos M. Li. The network helps show where Carlos M. Li may publish in the future.

Co-authorship network of co-authors of Carlos M. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos M. Li. A scholar is included among the top collaborators of Carlos M. Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos M. Li. Carlos M. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pourafkari, Leili, et al.. (2019). The predictive value of the epicardial adipose thickness in the rate of expansion of the aortic root. Herz. 46(S1). 48–53. 1 indexed citations
2.
Porhomayon, Jahan, et al.. (2015). Intraoperative administration of vasopressin during coronary artery bypass surgery is associated with acute postoperative kidney injury. Journal of Critical Care. 30(5). 963–968. 13 indexed citations
3.
Nader, Nader D., Carlos M. Li, Hasan H. Dosluoglu, Tracey A. Ignatowski, & Robert N. Spengler. (2009). Adjuvant Therapy With Intrathecal Clonidine Improves Postoperative Pain in Patients Undergoing Coronary Artery Bypass Graft. Clinical Journal of Pain. 25(2). 101–106. 21 indexed citations
4.
Nader, Nader D., et al.. (2004). Anesthetic myocardial protection with sevoflurane. Journal of Cardiothoracic and Vascular Anesthesia. 18(3). 269–274. 79 indexed citations
5.
Chu, Victor, Adel Giaid, Jin-Qiang Kuang, et al.. (1999). Angiogenesis in transmyocardial revascularization: comparison of laser versus mechanical punctures. The Annals of Thoracic Surgery. 68(2). 301–307. 42 indexed citations
6.
Pelletier, Marc, et al.. (1998). Angiogenesis and growth factor expression in a model of transmyocardial revascularization. The Annals of Thoracic Surgery. 66(1). 12–18. 101 indexed citations
7.
Badhwar, Vinay, et al.. (1998). The effects of prosthetic cardiac binding and adynamic cardiomyoplasty in a model of dilated cardiomyopathy. Journal of Thoracic and Cardiovascular Surgery. 116(1). 148–153. 43 indexed citations
8.
Li, Carlos M. & Ray Chu‐Jeng Chiu. (1997). Surgical Ventricular Remodeling: Pathophysiological Basis for the Cardioreduction (Batista) Procedure. Heart Failure Reviews. 2(2). 71–83. 4 indexed citations
9.
Li, Carlos M., et al.. (1990). Implantable rate-responsive counterpulsation assist system. The Annals of Thoracic Surgery. 49(3). 356–362. 13 indexed citations

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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