S Chaithiraphan

2.5k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

S Chaithiraphan is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, S Chaithiraphan has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in S Chaithiraphan's work include Coronary Artery Anomalies (6 papers), Aortic Disease and Treatment Approaches (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). S Chaithiraphan is often cited by papers focused on Coronary Artery Anomalies (6 papers), Aortic Disease and Treatment Approaches (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). S Chaithiraphan collaborates with scholars based in Thailand, United States and China. S Chaithiraphan's co-authors include Salim Yusuf, Koon Teo, Matthew McQueen, Leopoldo Soares Piegas, Xingyu Wang, Kaj Metsärinne, Johannes F.E. Mann, Kenneth Dickstein, Alexander Parkhomenko and Janice Pogue and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

S Chaithiraphan

31 papers receiving 1.6k citations

Hit Papers

Renal outcomes with telmisartan, ramipril, or both, in pe... 2008 2026 2014 2020 2008 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Renal outcomes with telmisartan, ramipril, or both, in people at high vascular risk (the ONTARGET study): a multicentre, randomised, double-blind, controlled trial
    2008 1.0k citations Johannes F.E. Mann, Roland E. Schmieder et al. The Lancet profile →

Peers

S Chaithiraphan
M Motolese Italy
Patrick Brunel Switzerland
José L. Cangiano Puerto Rico
Steve Snapinn United States
Jackson T. Wright United States
J Yudkin United Kingdom
Krister Kristianson United States
Maura Ravera Italy
H. Mulec Sweden
María Ganeva Bulgaria
M Motolese Italy
S Chaithiraphan
Citations per year, relative to S Chaithiraphan S Chaithiraphan (= 1×) peers M Motolese

Countries citing papers authored by S Chaithiraphan

Since Specialization
Citations

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

Fields of papers citing papers by S Chaithiraphan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Chaithiraphan

This figure shows the co-authorship network connecting the top 25 collaborators of S Chaithiraphan. A scholar is included among the top collaborators of S Chaithiraphan 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 S Chaithiraphan. S Chaithiraphan 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.
Dans, Antonio L., Koon Teo, Peggy Gao, et al.. (2010). In a Subgroup of High-Risk Asians, Telmisartan Was Non-Inferior to Ramipril and Better Tolerated in the Prevention of Cardiovascular Events. PLoS ONE. 5(12). e13694–e13694. 12 indexed citations
2.
3.
Mann, Johannes F.E., Roland E. Schmieder, Matthew McQueen, et al.. (2008). Renal outcomes with telmisartan, ramipril, or both, in people at high vascular risk (the ONTARGET study): a multicentre, randomised, double-blind, controlled trial. The Lancet. 372(9638). 547–553. 1044 indexed citations breakdown →
4.
Krittayaphong, Rungroj, et al.. (2003). Accuracy of magnetic resonance imaging in the diagnosis of coronary artery disease.. PubMed. 86 Suppl 1. S59–66. 4 indexed citations
5.
Krittayaphong, Rungroj, Kiertijai Bhuripanyo, Kesaree Punlee, Charuwan Kangkagate, & S Chaithiraphan. (2002). Effect of atenolol on symptomatic ventricular arrhythmia without structural heart disease: A randomized placebo-controlled study. American Heart Journal. 144(6). 1–5. 81 indexed citations
6.
Suh, Il, et al.. (2000). Hypertension and stroke in Asia: prevalence, control and strategies in developing countries for prevention. Journal of Human Hypertension. 14(10-11). 749–763. 221 indexed citations
7.
Chaithiraphan, S, et al.. (1995). Multivariate analysis in the prediction of left atrial thrombi in patients with mitral stenosis. Journal of the American Society of Echocardiography. 8(5). 742–746. 2 indexed citations
8.
Mahanonda, Nithi, et al.. (1995). Randomized double-blind, placebo-controlled trial of oral atenolol in patients with unexplained syncope and positive upright tilt table test results. American Heart Journal. 130(6). 1250–1253. 120 indexed citations
9.
Chaithiraphan, S, et al.. (1990). Multivariate analysis in the prediction of death in hospital after acute myocardial infarction.. Heart. 64(3). 182–185. 20 indexed citations
10.
11.
Chaithiraphan, S, et al.. (1989). Short and long term mortality after acute myocardial infarction as predicted by two-dimensional echocardiography.. PubMed. 72(6). 325–30. 1 indexed citations
12.
Chaithiraphan, S, et al.. (1988). Incidence and significance of pericardial effusion in acute myocardial infarction as determined by two-dimensional echocardiography.. PubMed. 71(12). 680–4. 1 indexed citations
13.
Chaithiraphan, S, et al.. (1988). Role of two-dimensional echocardiography in the prediction of in-hospital mortality after acute myocardial infarction.. PubMed. 71(6). 314–8. 1 indexed citations
14.
Chaithiraphan, S, et al.. (1986). Ruptured aneurysm of the sinus of Valsalva. Report of twenty-eight cases.. PubMed. 69(6). 294–300. 6 indexed citations
15.
Chaithiraphan, S, et al.. (1986). Accuracy of clinical criteria and angiocardiographic findings in diagnosis of ruptured of aortic sinus of Valsalva.. PubMed. 69(8). 422–7. 1 indexed citations
16.
Chaithiraphan, S, et al.. (1984). Aortic aneurysm masquerading as acquired pulmonic stenosis.. PubMed. 67(2). 118–23. 1 indexed citations
17.
Chaithiraphan, S, et al.. (1977). Electrocardiographic changes of hyperkalemia simulating acute myocardial infarction. A report of two cases.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 60(8). 389–95. 5 indexed citations
18.
Chaithiraphan, S, et al.. (1977). Mitral regurgitation associated with secundum atrial septal defect.. PubMed. 60(8). 383–8. 4 indexed citations
19.
Goldberg, Emanuel, M.J.G. O’Reilly, & S Chaithiraphan. (1972). PREVENTION OF POST-BRACHIAL-ARTERIOTOMY THROMBOSIS. The Lancet. 299(7754). 789–789. 11 indexed citations
20.
Cheng, Tsung O., et al.. (1971). Suppression by a Prominent T-Wave: An Unusual Cause of Malfunction of a Transvenous Demand Pacemaker. CHEST Journal. 60(5). 502–504. 10 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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