Frank Ulrich Beil

1.5k total citations
37 papers, 975 citations indexed

About

Frank Ulrich Beil is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Frank Ulrich Beil has authored 37 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 15 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Frank Ulrich Beil's work include Lipoproteins and Cardiovascular Health (14 papers), Lipid metabolism and disorders (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Frank Ulrich Beil is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Lipid metabolism and disorders (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Frank Ulrich Beil collaborates with scholars based in Germany and United States. Frank Ulrich Beil's co-authors include D. Gareth Evans, Heinrich M. Schulte, Jens Aberle, S M Grundy, Stephan Petersenn, Ana‐Maria Bamberger, Christoph M. Bamberger, Tobias Else, Ulrike Beisiegel† and Wolfram Terres and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Frank Ulrich Beil

34 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Ulrich Beil Germany 17 398 381 195 158 138 37 975
W Waldhäusl Austria 18 202 0.5× 507 1.3× 329 1.7× 145 0.9× 84 0.6× 48 989
Daniela Lamers Germany 11 256 0.6× 462 1.2× 259 1.3× 329 2.1× 139 1.0× 12 1.1k
Rampratap S. Kushwaha United States 22 675 1.7× 747 2.0× 427 2.2× 162 1.0× 170 1.2× 66 1.5k
Mitsuru Hashiramoto Japan 19 470 1.2× 342 0.9× 675 3.5× 289 1.8× 68 0.5× 44 1.3k
Karen E. Friday United States 14 297 0.7× 373 1.0× 179 0.9× 98 0.6× 67 0.5× 17 818
Nadine S. Sauter Switzerland 9 418 1.1× 295 0.8× 260 1.3× 173 1.1× 46 0.3× 10 940
Susanne Famulla Germany 11 385 1.0× 688 1.8× 294 1.5× 373 2.4× 138 1.0× 15 1.4k
Satoru Akazawa Japan 16 322 0.8× 284 0.7× 251 1.3× 138 0.9× 54 0.4× 46 965
Weihui Yu China 17 226 0.6× 272 0.7× 399 2.0× 122 0.8× 105 0.8× 40 961
Ond⊘řej Šeda Czechia 21 189 0.5× 252 0.7× 519 2.7× 261 1.7× 135 1.0× 84 1.1k

Countries citing papers authored by Frank Ulrich Beil

Since Specialization
Citations

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

Fields of papers citing papers by Frank Ulrich Beil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Ulrich Beil. 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 Frank Ulrich Beil. The network helps show where Frank Ulrich Beil may publish in the future.

Co-authorship network of co-authors of Frank Ulrich Beil

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Ulrich Beil. A scholar is included among the top collaborators of Frank Ulrich Beil 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 Frank Ulrich Beil. Frank Ulrich Beil 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.
Evans, D. Gareth, Frank Ulrich Beil, & Jens Aberle. (2013). Resequencing the APOE gene reveals that rare mutations are not significant contributory factors in the development of type III hyperlipidemia. Journal of clinical lipidology. 7(6). 671–674. 10 indexed citations
2.
Evans, D. Gareth, Frank Ulrich Beil, & Jens Aberle. (2013). Resequencing the untranslated regions of the lipoprotein lipase (LPL) gene reveals that variants in microRNA target sequences are associated with triglyceride levels. Journal of clinical lipidology. 7(6). 610–614. 4 indexed citations
3.
Buchert, Ralph, et al.. (2011). Screening for atherosclerotic plaques in the abdominal aorta in high-risk patients with multicontrast-weighted MRI: a prospective study at 3.0 and 1.5 tesla. British Journal of Radiology. 84(1006). 883–889. 6 indexed citations
4.
5.
Windler, Eberhard, et al.. (2009). Current Strategies and Recent Advances in the Therapy of Hypercholesterolemia. Atherosclerosis Supplements. 10(5). 1–4. 6 indexed citations
6.
7.
Windler, E., et al.. (2008). Postprandiale Lipämie und Arteriosklerose*. DMW - Deutsche Medizinische Wochenschrift. 117(20). 795–800.
8.
Aberle, Jens, et al.. (2007). Genetic Variation in Two Proteins of the Endocannabinoid System and their Influence on Body Mass Index and Metabolism under Low Fat Diet. Hormone and Metabolic Research. 39(5). 395–397. 52 indexed citations
9.
Aberle, Jens, et al.. (2006). Association of the T+294C polymorphism in PPAR δ with low HDL cholesterol and coronary heart disease risk in women. International Journal of Medical Sciences. 3(3). 108–111. 41 indexed citations
10.
Evans, D. Gareth & Frank Ulrich Beil. (2006). The E670G SNP in the PCSK9 gene is associated with polygenic hypercholesterolemia in men but not in women. BMC Medical Genetics. 7(1). 66–66. 55 indexed citations
11.
Beil, Frank Ulrich, et al.. (2004). Prim�rpr�vention von Herz-Kreislauf-Erkrankungen. Der Internist. 45(2). 173–181. 1 indexed citations
12.
Bamberger, Ana‐Maria, et al.. (2003). Regulation of the Human Leukemia Inhibitory Factor Gene by <i>ets</i> Transcription Factors. NeuroImmunoModulation. 11(1). 10–19. 14 indexed citations
13.
Seidel, D., Joachim Thiery, Birgit Mazurek, et al.. (2003). Behandlung des H�rsturzes durch Fibrinogen-LDL-Apherese. Zeitschrift für Kardiologie. 92(0). 1–1. 2 indexed citations
14.
Petersenn, Stephan, et al.. (2002). Characterization of the human somatostatin receptor type 4 promoter. Molecular and Cellular Endocrinology. 188(1-2). 75–83. 9 indexed citations
15.
Petersenn, Stephan, et al.. (2001). Genomic Structure and Transcriptional Regulation of the Human Growth Hormone Secretagogue Receptor1. Endocrinology. 142(6). 2649–2659. 105 indexed citations
16.
Bamberger, Ana‐Maria, et al.. (2000). Expression of leukemia inhibitory factor (LIF) and LIF receptor (LIF-R) in the human adrenal cortex: implications for steroidogenesis. Molecular and Cellular Endocrinology. 162(1-2). 145–149. 18 indexed citations
17.
Petersenn, Stephan, et al.. (1999). Genomic structure and transcriptional regulation of the human somatostatin receptor type 2. Molecular and Cellular Endocrinology. 157(1-2). 75–85. 29 indexed citations
18.
Beil, Frank Ulrich & E. Windler. (1997). Ziele und praktische Durchführung der Lipidtherapie bei koronarer Herzkrankheit. Herz. 22(3). 134–140.
19.
Beil, Frank Ulrich, Ulrike Beisiegel†, Heiner Greten, et al.. (1990). Lovastatin versus Bezafibrate: Efficacy, Tolerability, and Effect on Urinary Mevalonate. Cardiology. 77(4). 22–32. 9 indexed citations
20.
Beil, Frank Ulrich & S M Grundy. (1980). Studies on plasma lipoproteins during absorption of exogenous lecithin in man.. Journal of Lipid Research. 21(5). 525–536. 77 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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