Son V. Pham

1.1k total citations
21 papers, 771 citations indexed

About

Son V. Pham is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Son V. Pham has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Son V. Pham's work include Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Son V. Pham is often cited by papers focused on Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Son V. Pham collaborates with scholars based in United States, China and Portugal. Son V. Pham's co-authors include Jeffrey M. Miller, Phuong‐Chi T. Pham, Phuong-Thu Pham, Phuong M. Pham, Phuong‐Chi Pham, Phuong Anh Pham, Robert Ćhilton, Phuong Thu Thi Pham, Norimoto Yanagawa and Tarek A. Hammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Medicine.

In The Last Decade

Son V. Pham

18 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Son V. Pham United States 11 484 260 135 113 108 21 771
G. Pizza Italy 10 281 0.6× 138 0.5× 33 0.2× 137 1.2× 79 0.7× 14 605
Sylvia Berman Israel 16 151 0.3× 191 0.7× 70 0.5× 106 0.9× 29 0.3× 56 676
A.I. Macdougall United Kingdom 12 124 0.3× 76 0.3× 66 0.5× 53 0.5× 123 1.1× 20 512
S M Channon United Kingdom 9 120 0.2× 417 1.6× 93 0.7× 34 0.3× 36 0.3× 14 659
S Biasioli Italy 18 80 0.2× 376 1.4× 92 0.7× 77 0.7× 67 0.6× 55 748
Ahmet Güven Türkiye 20 134 0.3× 42 0.2× 147 1.1× 34 0.3× 27 0.3× 64 1.0k
Beverley Huet United States 9 235 0.5× 24 0.1× 113 0.8× 61 0.5× 12 0.1× 14 686
Toru Sanai Japan 15 106 0.2× 250 1.0× 124 0.9× 66 0.6× 40 0.4× 49 651
M Taccone-Gallucci Italy 16 236 0.5× 300 1.2× 50 0.4× 32 0.3× 13 0.1× 45 672
N.D. Vaziri United States 10 114 0.2× 102 0.4× 45 0.3× 91 0.8× 14 0.1× 11 521

Countries citing papers authored by Son V. Pham

Since Specialization
Citations

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

Fields of papers citing papers by Son V. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Son V. Pham. 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 Son V. Pham. The network helps show where Son V. Pham may publish in the future.

Co-authorship network of co-authors of Son V. Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Son V. Pham. A scholar is included among the top collaborators of Son V. Pham 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 Son V. Pham. Son V. Pham 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.
Pham, Son V., et al.. (2024). COMBINED SYSTEMIC THROMBOLYSIS AND CATHETER-DIRECTED THROMBECTOMY FOR A MASSIVE PROVOKED PULMONARY EMBOLISM WITH CLOT-IN-TRANSIT. Journal of the American College of Cardiology. 83(13). 3794–3794.
3.
Silva‐Cardoso, José, et al.. (2019). Cardiorenal protection with SGLT2: Lessons from the cardiovascular outcome trials. Journal of Diabetes. 12(4). 279–293. 8 indexed citations
4.
Ćhilton, Robert, et al.. (2018). The Evolving Role of the Cardiologist in the Management of Type 2 Diabetes. Current Diabetes Reports. 18(12). 144–144. 9 indexed citations
5.
Pham, Son V. & Robert Ćhilton. (2017). EMPA-REG OUTCOME: The Cardiologist's Point of View. The American Journal of Medicine. 130(6). S57–S62. 13 indexed citations
6.
Pham, Son V. & Robert Ćhilton. (2017). EMPA-REG OUTCOME: The Cardiologist's Point of View. The American Journal of Cardiology. 120(1). S53–S58. 16 indexed citations
7.
Sanon, Saurabh, et al.. (2017). Differential cardiovascular profiles of sodium-glucose cotransporter 2 inhibitors: critical evaluation of empagliflozin. Therapeutics and Clinical Risk Management. Volume 13. 603–611. 5 indexed citations
8.
Pham, Phuong‐Chi, Phuong M. Pham, Jeffrey M. Miller, et al.. (2017). 2017 update on pain management in patients with chronic kidney disease. Clinical Kidney Journal. 10(5). 688–697. 84 indexed citations
9.
Oliveros, Rene, Son V. Pham, Steven R. Bailey, & Robert Ćhilton. (2014). Glucose Control and Cardiovascular Outcomes in Clinical Trials of Sodium Glucose Co-transporter 2 Inhibitor Treatments in Type 2 Diabetes. touchREVIEWS in Endocrinology. 10(2). 117–117. 4 indexed citations
10.
Pham, Phuong M., et al.. (2014). Correction of hyponatremia and osmotic demyelinating syndrome: have we neglected to think intracellularly?. Clinical and Experimental Nephrology. 19(3). 489–495. 16 indexed citations
11.
Oliveros, Rene, Son V. Pham, Steven R. Bailey, & Robert Ćhilton. (2014). Glucose Control and Cardiovascular Outcomes in Clinical Trials of Sodium Glucose Co-transporter 2 Inhibitor Treatments in Type 2 Diabetes. US Endocrinology. 10(1). 8–8. 2 indexed citations
12.
Pham, Phuong‐Chi, et al.. (2014). Hypomagnesemia: a clinical perspective. International Journal of Nephrology and Renovascular Disease. 7. 219–219. 121 indexed citations
13.
Patel, Tejas, Faisal A. Arain, Claude Jourdan Le Saux, et al.. (2014). Does dipeptidyl peptidase IV inhibitor increase the risk of heart failure? A cardiologist’s paradox. 3(4). 111–116.
14.
Sanon, Saurabh, et al.. (2014). Play of Chance Versus Concerns Regarding Dipeptidyl Peptidase-4 Inhibitors: Heart Failure and Diabetes. Clinical Diabetes. 32(3). 121–126. 7 indexed citations
15.
Pham, Son V., et al.. (2013). Glycemic Control in Type 2 Diabetes: The Tighter the Better?. Clinical Diabetes. 31(1). 25–27.
16.
Sanon, Saurabh, et al.. (2012). Acute Coronary Syndrome in Patients with Diabetes Mellitus: Perspectives of an Interventional Cardiologist. The American Journal of Cardiology. 110(9). 13B–23B. 12 indexed citations
17.
Pham, Son V., et al.. (2010). Antithrombotic strategies in patients undergoing percutaneous coronary intervention for acute coronary syndrome. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Pham, Phuong‐Chi, et al.. (2009). The link between lower serum magnesium and kidney function in patients with diabetes mellitus Type 2 deserves a closer look. Clinical Nephrology. 71(4). 375–379. 21 indexed citations
19.
Pham, Phuong‐Chi T., et al.. (2007). Hypomagnesemia in Patients with Type 2 Diabetes. Clinical Journal of the American Society of Nephrology. 2(2). 366–373. 309 indexed citations
20.
Pham, Phuong‐Chi, Phuong M. Pham, Phuong Anh Pham, et al.. (2005). Lower serum magnesium levels are associated with more rapid decline of renal function in patients with diabetes mellitus type 2. Clinical Nephrology. 63(6). 429–436. 90 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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