Anho Liem
About
Anho Liem is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Anho Liem has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 28 papers in Cardiology and Cardiovascular Medicine and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Anho Liem's work include Lipoproteins and Cardiovascular Health (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Acute Myocardial Infarction Research (9 papers). Anho Liem is often cited by papers focused on Lipoproteins and Cardiovascular Health (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Acute Myocardial Infarction Research (9 papers). Anho Liem collaborates with scholars based in Netherlands, United States and Spain. Anho Liem's co-authors include Eric J.G. Sijbrands, Peter Lansberg, J. Wouter Jukema, John J.P. Kastelein, Dick C.G. Basart, Mojgan Yazdanpanah, Joep C. Defesche, J. C. M. Witteman, Jan Heeringa and J.J.P. Kastelein and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Cochrane Database of Systematic Reviews.
In The Last Decade
Anho Liem
49 papers receiving 2.3k citations
Hit Papers
Peers
Anho Liem
José Luis Zamorano Spain
Mary P. McGowan United States
Jonathan L. Isaacsohn United States
Lixia Jiao United States
Peter Lansberg Netherlands
Eric J. Stanek United States
Brad Bisson United States
Rodrigo Alonso Spain
G. Kees Hovingh Netherlands
Athanasios A. Papageorgiou Greece
Citations per year, relative to Anho Liem Anho Liem (= 1×)
peers
José Luis Zamorano
Countries citing papers authored by Anho Liem
Since
Specialization
Citations
This map shows the geographic impact of Anho Liem'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 Anho Liem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anho Liem more than expected).
Fields of papers citing papers by Anho Liem
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Anho Liem. 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 Anho Liem. The network helps show where Anho Liem may publish in the future.
Co-authorship network of co-authors of Anho Liem
This figure shows the co-authorship network connecting the top 25 collaborators of Anho Liem. A scholar is included among the top collaborators of Anho Liem 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 Anho Liem. Anho Liem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Liem, Anho, et al.. (2025). PENELOPE 1-year follow-up: legacy effect of a short protocol-led LDL-C-lowering strategy in patients after myocardial infarction. Netherlands Heart Journal. 33(4). 120–129.
2.
Liem, Anho, et al.. (2024). Effects of a stepwise, structured LDL-C lowering strategy in patients post-acute coronary syndrome. Netherlands Heart Journal. 32(5). 206–212.
3.
Hoogeveen, Renate M., Nordin M.J. Hanssen, Jorn Brouwer, et al.. (2021). The challenge of choosing in cardiovascular risk management. Netherlands Heart Journal. 30(1). 47–57.
4.
Oemrawsingh, Rohit M., Folkert W. Asselbergs, Anho Liem, et al.. (2019). Temporal Pattern of Growth Differentiation Factor-15 Protein After Acute Coronary Syndrome (From the BIOMArCS Study). The American Journal of Cardiology. 124(1). 8–13.
5.
Zwart, Bastiaan, Jurriën M. ten Berg, Arnoud W.J. van ‘t Hof, et al.. (2019). Indications for an early invasive strategy in NSTE-ACS patients. Netherlands Heart Journal. 28(3). 131–135.
6.
Branković, Miloš, Isabella Kardys, Victor J. van den Berg, et al.. (2019). Evolution of renal function and predictive value of serial renal assessments among patients with acute coronary syndrome: BIOMArCS study. International Journal of Cardiology. 299. 12–19.
7.
Damman, Peter, Hans A. Bosker, Peter W. Danse, et al.. (2019). Treatment patterns of non-ST-elevation acute coronary syndrome patients presenting at non-PCI centres in the Netherlands and possible logistical consequences of adopting same-day transfer to PCI centres: a registry-based evaluation. Netherlands Heart Journal. 27(4). 191–199.
8.
Arslan, Fatih, Lennart G. Bongartz, Jurriën M. ten Berg, et al.. (2018). 2017 ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: comments from the Dutch ACS working group. Netherlands Heart Journal. 26(9). 417–421.
9.
Bos, Sven, Admir Dedic, Lisan A. Neefjes, et al.. (2015). Increased Aortic Valve Calcification in Familial Hypercholesterolemia. Journal of the American College of Cardiology. 66(24). 2687–2695.
10.
Winter, Leandra J M Boonman-de, Frans H. Rutten, Maarten J. Cramer, et al.. (2014). Efficiently Screening Heart Failure in Patients with Type 2 Diabetes. European Journal of Heart Failure. 17(2). 187–195.
11.
Vries, Marijke A. de, Arash Alipour, Boudewijn Klop, et al.. (2014). Glucose-dependent leukocyte activation in patients with type 2 diabetes mellitus, familial combined hyperlipidemia and healthy controls. Metabolism. 64(2). 213–217.
12.
Wassink, Annemarie M.J., Houshang Monajemi, Anho Liem, et al.. (2012). Plasma triglyceride levels increase the risk for recurrent vascular events independent of LDL-cholesterol or nonHDL-cholesterol. International Journal of Cardiology. 167(2). 403–408.
13.
Jørstad, H T, Clemens von Birgelen, Marco Alings, et al.. (2011). IMPROVEMENT OF RISK FACTOR CONTROL AFTER AN ACUTE CORONARY SYNDROME BY A NURSE COORDINATED PREVENTION PROGRAM: RESULTS FROM A RANDOMIZED TRIAL. Journal of the American College of Cardiology. 57(14). E549–E549.
14.
Briel, Matthias, Noah Vale, Gregory G. Schwartz, et al.. (2011). Updated evidence on early statin therapy for acute coronary syndromes: Meta-analysis of 18 randomized trials involving over 14,000 patients. International Journal of Cardiology. 158(1). 93–100.
15.
Karalis, Ioannis, Sandrin C. Bergheanu, Ron Wolterbeek, et al.. (2010). Effect of increasing doses of Rosuvastatin and Atorvastatin on apolipoproteins, enzymes and lipid transfer proteins involved in lipoprotein metabolism and inflammatory parameters. Current Medical Research and Opinion. 26(10). 2301–2313.
16.
Rutten, Frans H., Maarten J. Cramer, Anho Liem, et al.. (2009). Early recognition of heart failure in patients with diabetes type 2 in primary care. A prospective diagnostic efficiency study. (UHFO-DM2). BMC Public Health. 9(1). 479–479.
17.
Versmissen, Jorie, Daniëlla M. Oosterveer, Mojgan Yazdanpanah, et al.. (2008). Efficacy of statins in familial hypercholesterolaemia: a long term cohort study. BMJ. 337(nov11 1). a2423–a2423.
18.
Bergheanu, Sandrin C., Arie van Tol, Geesje M. Dallinga‐Thie, et al.. (2007). Effect of rosuvastatin versus atorvastatin treatment on paraoxonase-1 activity in men with established cardiovascular disease and a low HDL-cholesterol. Current Medical Research and Opinion. 23(9). 2235–2240.
19.
Liem, Anho, et al.. (2004). 825-6 Long-term secondary prevention with folic acid: No effects on clinical outcomes (the GOES extension study). Journal of the American College of Cardiology. 43(5). A496–A496.
20.
Liem, Anho. (2003). Secondary prevention in coronary heart disease patients with low HDL: which options do we have?. International Journal of Cardiology. 90(1). 15–21.
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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