L A Luong

1.1k total citations
7 papers, 895 citations indexed

About

L A Luong is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, L A Luong has authored 7 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in L A Luong's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Renin-Angiotensin System Studies (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). L A Luong is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Renin-Angiotensin System Studies (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). L A Luong collaborates with scholars based in United Kingdom, Italy and France. L A Luong's co-authors include Steve E. Humphries, Hugh Montgomery, David Brull, Ann Rumley, Julie Sanders, Gordon Lowe, S Dhamrait, A. Richey Sharrett, Alice M. Arnold and Lewis H. Kuller and has published in prestigious journals such as Diabetes, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

L A Luong

7 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L A Luong United Kingdom	7	270	265	248	202	134	7	895
Sylvia Müller-Scholze Germany	12	150 0.6×	410 1.5×	361 1.5×	125 0.6×	196 1.5×	12	929
Andrzej Książek Poland	22	313 1.2×	140 0.5×	138 0.6×	213 1.1×	340 2.5×	138	1.4k
Gerda Falkensammer Austria	16	189 0.7×	153 0.6×	184 0.7×	65 0.3×	305 2.3×	21	1.0k
Barbara Toffoli Italy	21	263 1.0×	153 0.6×	263 1.1×	220 1.1×	560 4.2×	45	1.2k
Gül Bahtiyar United States	13	102 0.4×	288 1.1×	303 1.2×	159 0.8×	317 2.4×	42	1.2k
Mirosława Urban Poland	14	191 0.7×	148 0.6×	147 0.6×	209 1.0×	104 0.8×	74	796
Nuri Çakır Türkiye	21	101 0.4×	219 0.8×	221 0.9×	363 1.8×	255 1.9×	58	1.4k
Daniel F. Freitag United Kingdom	5	214 0.8×	197 0.7×	301 1.2×	69 0.3×	215 1.6×	6	915
Ramón Arroyo‐Espliguero Spain	18	545 2.0×	283 1.1×	266 1.1×	83 0.4×	182 1.4×	32	1.3k
Jack C.‐R. Tsai Taiwan	9	299 1.1×	701 2.6×	91 0.4×	212 1.0×	168 1.3×	12	1.2k

Countries citing papers authored by L A Luong

Since Specialization

Citations

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

Fields of papers citing papers by L A Luong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L A Luong. 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 L A Luong. The network helps show where L A Luong may publish in the future.

Co-authorship network of co-authors of L A Luong

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

All Works

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7 of 7 papers shown

Kelberman, Daniel, Emma Hawe, L A Luong, et al.. (2004). Effect of Interleukin-6 promoter polymorphisms in survivors of myocardial infarction and matched controls in the North and South of Europe. Thrombosis and Haemostasis. 92(11). 1122–1128. 40 indexed citations

Jones, Alun, Sukhbir Dhamrait, John Payne, et al.. (2003). Genetic Variants of Angiotensin II Receptors and Cardiovascular Risk in Hypertension. Hypertension. 42(4). 500–506. 79 indexed citations

Jenny, Nancy S., Russell P. Tracy, Malcolm S. Ogg, et al.. (2002). In the Elderly, Interleukin-6 Plasma Levels and the −174G>C Polymorphism Are Associated With the Development of Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 22(12). 2066–2071. 206 indexed citations

Brull, David, Hugh Montgomery, Julie Sanders, et al.. (2001). Interleukin-6 Gene −174G>C and −572G>C Promoter Polymorphisms Are Strong Predictors of Plasma Interleukin-6 Levels After Coronary Artery Bypass Surgery. Arteriosclerosis Thrombosis and Vascular Biology. 21(9). 1458–1463. 348 indexed citations

Martin, Renée S., L A Luong, N J Welsh, et al.. (2000). Effects of cannabinoid receptor agonists on neuronally‐evoked contractions of urinary bladder tissues isolated from rat, mouse, pig, dog, monkey and human. British Journal of Pharmacology. 129(8). 1707–1715. 60 indexed citations

Penno, G, Nish Chaturvedi, Philippa J. Talmud, et al.. (1998). Effect of angiotensin-converting enzyme (ACE) gene polymorphism on progression of renal disease and the influence of ACE inhibition in IDDM patients: findings from the EUCLID Randomized Controlled Trial. EURODIAB Controlled Trial of Lisinopril in IDDM.. Diabetes. 47(9). 1507–1511. 116 indexed citations

Mailly, F., Rachel M. Fisher, Viviane Nicaud, et al.. (1996). Association between the LPL-D9N mutation in the lipoprotein lipase gene and plasma lipid traits in myocardial infarction survivors from the ECTIM study. Atherosclerosis. 122(1). 21–28. 46 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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