Alan S. Go

175.1k total citations · 15 hit papers
483 papers, 47.4k citations indexed

About

Alan S. Go is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Epidemiology. According to data from OpenAlex, Alan S. Go has authored 483 papers receiving a total of 47.4k indexed citations (citations by other indexed papers that have themselves been cited), including 292 papers in Cardiology and Cardiovascular Medicine, 126 papers in Nephrology and 69 papers in Epidemiology. Recurrent topics in Alan S. Go's work include Atrial Fibrillation Management and Outcomes (124 papers), Chronic Kidney Disease and Diabetes (82 papers) and Dialysis and Renal Disease Management (76 papers). Alan S. Go is often cited by papers focused on Atrial Fibrillation Management and Outcomes (124 papers), Chronic Kidney Disease and Diabetes (82 papers) and Dialysis and Renal Disease Management (76 papers). Alan S. Go collaborates with scholars based in United States, United Kingdom and Canada. Alan S. Go's co-authors include Chi‐yuan Hsu, Charles E. McCulloch, Glenn M. Chertow, Dongjie Fan, Daniel E. Singer, Yuchiao Chang, Elaine M. Hylek, Joe V. Selby, Lori Henault and Kathleen A. Phillips and has published in prestigious journals such as New England Journal of Medicine, Cell and JAMA.

In The Last Decade

Alan S. Go

467 papers receiving 45.9k citations

Hit Papers

Chronic Kidney Disease and the Risks of Death, Cardio... 1990 2026 2002 2014 2004 2001 1990 2006 2003 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan S. Go United States 93 25.3k 11.9k 6.5k 5.6k 5.0k 483 47.4k
Bruce M. Psaty United States 110 20.6k 0.8× 2.8k 0.2× 6.4k 1.0× 6.6k 1.2× 4.4k 0.9× 642 46.3k
Mary Cushman United States 102 22.2k 0.9× 2.7k 0.2× 13.1k 2.0× 10.6k 1.9× 5.9k 1.2× 765 56.9k
Peter A. McCullough United States 95 17.6k 0.7× 13.3k 1.1× 3.2k 0.5× 6.7k 1.2× 6.7k 1.3× 612 37.0k
Aldo P. Maggioni Italy 107 35.8k 1.4× 2.8k 0.2× 3.7k 0.6× 8.0k 1.4× 5.4k 1.1× 873 49.2k
Harold I. Feldman United States 74 8.9k 0.4× 18.2k 1.5× 5.5k 0.8× 6.3k 1.1× 7.0k 1.4× 325 42.3k
Michael G. Shlipak United States 93 10.7k 0.4× 15.2k 1.3× 3.7k 0.6× 4.2k 0.7× 4.7k 0.9× 544 33.0k
John W. Kusek United States 93 13.0k 0.5× 27.7k 2.3× 8.1k 1.2× 9.2k 1.6× 9.6k 1.9× 368 60.3k
Lesley A. Stevens United States 45 9.8k 0.4× 19.7k 1.7× 5.2k 0.8× 5.0k 0.9× 6.2k 1.2× 70 39.8k
Clyde W. Yancy United States 93 48.4k 1.9× 1.3k 0.1× 5.3k 0.8× 7.4k 1.3× 5.6k 1.1× 603 60.3k
Adrian F. Hernandez United States 99 26.2k 1.0× 1.2k 0.1× 7.8k 1.2× 6.3k 1.1× 5.4k 1.1× 899 42.2k

Countries citing papers authored by Alan S. Go

Since Specialization
Citations

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

Fields of papers citing papers by Alan S. Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan S. Go. 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 Alan S. Go. The network helps show where Alan S. Go may publish in the future.

Co-authorship network of co-authors of Alan S. Go

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

All Works

20 of 20 papers shown
1.
Go, Alan S., Jesse Y. Hsu, Xiaoming Zhang, et al.. (2025). Differential Effect of Hospitalization on Cystatin C– and Creatinine-Based Estimated GFR. Journal of the American Society of Nephrology. 36(8). 1585–1591. 1 indexed citations
2.
Parikh, Rishi, Claudia Nau, Thida C. Tan, et al.. (2024). Rationale and design of the KP ENRICH trial: A food is medicine intervention in low-income high-risk adults with diabetes within Kaiser Permanente. Contemporary Clinical Trials. 143. 107601–107601. 2 indexed citations
3.
Lópes, Renato D., Steven J. Atlas, Alan S. Go, et al.. (2024). Effect of Screening for Undiagnosed Atrial Fibrillation on Stroke Prevention. Journal of the American College of Cardiology. 84(21). 2073–2084. 17 indexed citations
4.
Parikh, Rishi, Andrew P. Ambrosy, Thida C. Tan, et al.. (2023). Association Between Participation in a Heart Failure Telemonitoring Program and Health Care Utilization and Death Within an Integrated Health Care Delivery System. Journal of Cardiac Failure. 29(12). 1642–1654. 3 indexed citations
5.
Fitzpatrick, Jesse K., Rishi Parikh, Andrew P. Ambrosy, et al.. (2023). The association between changes in echocardiography and risk of heart failure hospitalizations and death in adults with chronic kidney disease. Scientific Reports. 13(1). 8863–8863. 3 indexed citations
6.
Wen, Yumeng, Leyuan Xu, Heather Thiessen‐Philbrook, et al.. (2023). Longitudinal biomarkers and kidney disease progression after acute kidney injury. JCI Insight. 8(9). 29 indexed citations
7.
Solomon, Matthew D., Grace H. Tabada, Sue Hee Sung, et al.. (2023). Physician assessment of aortic stenosis severity, quantitative parameters, and long-term outcomes: Results from the KP-VALVE project. American Heart Journal. 266. 32–47. 1 indexed citations
8.
Choquet, Hélène, Khanh K. Thai, J Chen, et al.. (2020). Meta-Analysis of 26 638 Individuals Identifies Two Genetic Loci Associated With Left Ventricular Ejection Fraction. Circulation Genomic and Precision Medicine. 13(4). e002804–e002804. 14 indexed citations
9.
Bundy, Joshua D., Xuan Cai, Rupal Mehta, et al.. (2019). Serum Calcification Propensity and Clinical Events in CKD. Clinical Journal of the American Society of Nephrology. 14(11). 1562–1571. 41 indexed citations
10.
Schmitt, Susan, Mintu P. Turakhia, Ciaran S. Phibbs, et al.. (2015). Anticoagulation in atrial fibrillation: impact of mental illness.. PubMed. 21(11). e609–17. 15 indexed citations
11.
Tsai, Thomas T., Thomas F. Rehring, R. Kevin Rogers, et al.. (2015). The Contemporary Safety and Effectiveness of Lower Extremity Bypass Surgery and Peripheral Endovascular Interventions in the Treatment of Symptomatic Peripheral Arterial Disease. Circulation. 132(21). 1999–2011. 43 indexed citations
12.
Bansal, Nisha, Charles E. McCulloch, Mahboob Rahman, et al.. (2014). Blood Pressure and Risk of All-Cause Mortality in Advanced Chronic Kidney Disease and Hemodialysis. Hypertension. 65(1). 93–100. 92 indexed citations
13.
Neugebauer, Romain, Malini Chandra, Antonio Paredes, et al.. (2013). A Marginal Structural Modeling Approach with Super Learning for a Study on Oral Bisphosphonate Therapy and Atrial Fibrillation. SHILAP Revista de lepidopterología. 1(1). 21–50. 7 indexed citations
14.
Freeman, James V., Jingrong Yang, Sue Hee Sung, Mark A. Hlatky, & Alan S. Go. (2013). Effectiveness and Safety of Digoxin Among Contemporary Adults With Incident Systolic Heart Failure. Circulation Cardiovascular Quality and Outcomes. 6(5). 525–533. 60 indexed citations
15.
Piccini, Jonathan P., Susanna R. Stevens, Yuchiao Chang, et al.. (2012). Renal Dysfunction as a Predictor of Stroke and Systemic Embolism in Patients With Nonvalvular Atrial Fibrillation. Circulation. 127(2). 224–232. 375 indexed citations
16.
Brooks, Jordan, Mark J. van der Laan, & Alan S. Go. (2012). Targeted Maximum Likelihood Estimation for Prediction Calibration. The International Journal of Biostatistics. 8(1). 30–30. 4 indexed citations
17.
Piccini, Jonathan P., DaJuanicia N. Holmes, Elizabeth Fraulo, et al.. (2011). Abstract 16415: Patterns of Atrial Fibrillation and Treatment Strategies Vary According to Provider Specialty Across Community Practice Settings: Findings From the ORBIT-AF Registry. Circulation. 124. 53–5. 2 indexed citations
18.
Go, Alan S., Margaret C. Fang, Natalia Udaltsova, et al.. (2009). Impact of Proteinuria and Glomerular Filtration Rate on Risk of Thromboembolism in Atrial Fibrillation. Circulation. 119(10). 1363–1369. 319 indexed citations
19.
Hlatky, Mark A., Philip Greenland, Donna K. Arnett, et al.. (2009). Criteria for Evaluation of Novel Markers of Cardiovascular Risk. Circulation. 119(17). 2408–2416. 806 indexed citations breakdown →
20.
Asgari, Maryam M., Jean Y. Tang, Ervin H. Epstein, et al.. (2009). Statin use and risk of basal cell carcinoma. Journal of the American Academy of Dermatology. 61(1). 66–72. 11 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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