Juergen Armbrecht

932 total citations
9 papers, 691 citations indexed

About

Juergen Armbrecht is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Juergen Armbrecht has authored 9 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Juergen Armbrecht's work include Heart Failure Treatment and Management (4 papers), Renin-Angiotensin System Studies (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Juergen Armbrecht is often cited by papers focused on Heart Failure Treatment and Management (4 papers), Renin-Angiotensin System Studies (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Juergen Armbrecht collaborates with scholars based in United States, United Kingdom and Switzerland. Juergen Armbrecht's co-authors include Denis B. Buxton, H R Schelbert, John J.V. McMurray, Barry M. Brenner, Scott D. Solomon, Nish Chaturvedi, Richard C. Brunken, M. E. Phelps, Dick de Zeeuw and Steven M. Haffner and has published in prestigious journals such as JAMA, Circulation and European Heart Journal.

In The Last Decade

Juergen Armbrecht

8 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juergen Armbrecht United States 7 497 232 206 75 67 9 691
Chiho Kawahara Japan 12 440 0.9× 166 0.7× 81 0.4× 26 0.3× 117 1.7× 18 619
Masayuki Yamaji Japan 14 481 1.0× 167 0.7× 89 0.4× 29 0.4× 128 1.9× 27 685
Henry Yu United States 6 259 0.5× 111 0.5× 43 0.2× 64 0.9× 53 0.8× 8 478
Naozumi Kubota Japan 14 297 0.6× 128 0.6× 83 0.4× 23 0.3× 174 2.6× 36 484
Tomonori Akasaka Japan 14 276 0.6× 102 0.4× 144 0.7× 21 0.3× 186 2.8× 30 467
Francesca Palano Italy 13 475 1.0× 116 0.5× 53 0.3× 26 0.3× 72 1.1× 28 590
Martin P. Bedigian United States 9 480 1.0× 353 1.5× 55 0.3× 26 0.3× 55 0.8× 15 680
J. Dolben United Kingdom 10 156 0.3× 146 0.6× 112 0.5× 98 1.3× 52 0.8× 18 509
Mojca Lunder Slovenia 14 292 0.6× 169 0.7× 49 0.2× 22 0.3× 137 2.0× 41 553
Bert D. Dikkeschei Netherlands 14 246 0.5× 164 0.7× 122 0.6× 32 0.4× 289 4.3× 23 650

Countries citing papers authored by Juergen Armbrecht

Since Specialization
Citations

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

Fields of papers citing papers by Juergen Armbrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juergen Armbrecht

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

All Works

9 of 9 papers shown
1.
Puri, Rishi, Steven E. Nissen, Venu Menon, et al.. (2015). Effects of aliskiren in diabetic and non-diabetic patients with coronary artery disease: Insights from AQUARIUS. Atherosclerosis. 243(2). 553–559. 4 indexed citations
2.
Nicholls, Stephen J., George L. Bakris, John J.P. Kastelein, et al.. (2013). Effect of Aliskiren on Progression of Coronary Disease in Patients With Prehypertension. JAMA. 310(11). 1135–1135. 54 indexed citations
3.
Parving, Hans Henrik, Barry M. Brenner, John J.V. McMurray, et al.. (2012). Baseline characteristics in the Aliskiren Trial in Type 2 Diabetes Using Cardio-Renal Endpoints (ALTITUDE). Journal of the Renin-Angiotensin-Aldosterone System. 13(3). 387–393. 45 indexed citations
4.
5.
Parving, H.‐H., Barry M. Brenner, John J.V. McMurray, et al.. (2009). Aliskiren Trial in Type 2 Diabetes Using Cardio-Renal Endpoints (ALTITUDE): rationale and study design. Nephrology Dialysis Transplantation. 24(5). 1663–1671. 241 indexed citations
6.
Wilding, Ian R., C.J. Kenyon, G. Hooper, et al.. (1995). Colonic spreading of a non‐chlorofluorocarbon mesalazine rectal foam enema in patients with quiescent ulcerative colitis. Alimentary Pharmacology & Therapeutics. 9(2). 161–166. 14 indexed citations
7.
Machraoui, A., et al.. (1992). Efficacy and safety of APSAC in the treatment of acute myocardial infarction. European Heart Journal. 13(6). 818–823.
8.
9.
Armbrecht, Juergen, Denis B. Buxton, Richard C. Brunken, M. E. Phelps, & H R Schelbert. (1989). Regional myocardial oxygen consumption determined noninvasively in humans with [1-11C]acetate and dynamic positron tomography.. Circulation. 80(4). 863–872. 113 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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