Alexander Tang

1.1k total citations
11 papers, 385 citations indexed

About

Alexander Tang is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alexander Tang has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Epidemiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alexander Tang's work include Cardiac Structural Anomalies and Repair (7 papers), Congenital Heart Disease Studies (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Alexander Tang is often cited by papers focused on Cardiac Structural Anomalies and Repair (7 papers), Congenital Heart Disease Studies (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Alexander Tang collaborates with scholars based in United States and China. Alexander Tang's co-authors include David R. Fulton, Annette Baker, Jane W. Newburger, Adriana H. Tremoulet, Jane C. Burns, Kevin G. Friedman, Kimberly Gauvreau, Erika Berry, Kimberlee Gauvreau and Pedro J. del Nido and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Leukocyte Biology.

In The Last Decade

Alexander Tang

11 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Tang United States 10 288 242 172 73 39 11 385
José Montiel Spain 11 203 0.7× 118 0.5× 297 1.7× 80 1.1× 40 1.0× 28 449
Sanjeet Singh Avtaar Singh United Kingdom 10 136 0.5× 34 0.1× 97 0.6× 80 1.1× 75 1.9× 37 305
G Marggraf Germany 9 161 0.6× 60 0.2× 149 0.9× 40 0.5× 29 0.7× 14 319
Mary K. Porteous United States 15 256 0.9× 204 0.8× 31 0.2× 36 0.5× 102 2.6× 28 621
Ken Yoshimura Japan 12 186 0.6× 166 0.7× 48 0.3× 16 0.2× 38 1.0× 31 368
Noriyuki Takashima Japan 11 249 0.9× 116 0.5× 237 1.4× 35 0.5× 70 1.8× 38 380
Zhipeng Zhou United States 9 111 0.4× 54 0.2× 175 1.0× 45 0.6× 9 0.2× 27 268
Nicole Dekker Netherlands 9 132 0.5× 27 0.1× 103 0.6× 66 0.9× 29 0.7× 17 272
Robert S. Brumberg United States 8 166 0.6× 96 0.4× 44 0.3× 91 1.2× 8 0.2× 11 300
Lyssa Ochoa United States 7 92 0.3× 169 0.7× 72 0.4× 114 1.6× 18 0.5× 11 368

Countries citing papers authored by Alexander Tang

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Tang. A scholar is included among the top collaborators of Alexander Tang 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 Alexander Tang. Alexander Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Liu, Emily, et al.. (2019). Data-Driven Analysis of Antimicrobial Resistance in Foodborne Pathogens from Six States within the US. International Journal of Environmental Research and Public Health. 16(10). 1811–1811. 17 indexed citations
2.
Nido, Pedro J. del, Tal Geva, Chun Yang, et al.. (2018). Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies. International Journal of Cardiology. 276. 93–99. 11 indexed citations
3.
Ferranti, Sarah D. de, Kimberlee Gauvreau, Kevin G. Friedman, et al.. (2018). Association of Initially Normal Coronary Arteries With Normal Findings on Follow-up Echocardiography in Patients With Kawasaki Disease. JAMA Pediatrics. 172(12). e183310–e183310. 17 indexed citations
4.
Son, Mary Beth F., Kimberlee Gauvreau, Susan Kim, et al.. (2017). Predicting Coronary Artery Aneurysms in Kawasaki Disease at a North American Center: An Assessment of Baseline z Scores. Journal of the American Heart Association. 6(6). 60 indexed citations
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Friedman, Kevin G., Kimberly Gauvreau, Alexander Tang, et al.. (2016). Coronary Artery Aneurysms in Kawasaki Disease: Risk Factors for Progressive Disease and Adverse Cardiac Events in the US Population. Journal of the American Heart Association. 5(9). 176 indexed citations
8.
Tang, Dalin, Chun Yang, Pedro J. del Nido, et al.. (2015). Mechanical stress is associated with right ventricular response to pulmonary valve replacement in patients with repaired tetralogy of Fallot. Journal of Thoracic and Cardiovascular Surgery. 151(3). 687–694.e3. 22 indexed citations
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Bala, Shashi, Alexander Tang, Donna Catalano, et al.. (2012). Induction of Bcl-3 by acute binge alcohol results in Toll-like receptor 4/LPS tolerance. Journal of Leukocyte Biology. 92(3). 611–620. 37 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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