Beate Enigk

676 total citations
15 papers, 556 citations indexed

About

Beate Enigk is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Beate Enigk has authored 15 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Beate Enigk's work include Genetic Associations and Epidemiology (5 papers), Adipose Tissue and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Beate Enigk is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Adipose Tissue and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Beate Enigk collaborates with scholars based in Germany, United States and United Kingdom. Beate Enigk's co-authors include Michael Stümvoll, Péter Kovács, Yvonne Böttcher, Anke Tönjes, Matthias Blüher, Dorit Schleinitz, Nora Klöting, Kerstin Dietrich, Antje Körner and Michael P. Schön and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Beate Enigk

15 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beate Enigk Germany 14 256 182 152 127 81 15 556
Valerie B. Holcomb United States 13 336 1.3× 222 1.2× 123 0.8× 93 0.7× 107 1.3× 16 682
Marie S. Isidor Denmark 12 200 0.8× 306 1.7× 152 1.0× 39 0.3× 74 0.9× 17 541
Pegah Poursharifi Canada 15 210 0.8× 208 1.1× 121 0.8× 32 0.3× 85 1.0× 24 604
Caroline A. Wallace United Kingdom 5 376 1.5× 184 1.0× 64 0.4× 171 1.3× 117 1.4× 6 652
L. R. Donahue United States 12 433 1.7× 103 0.6× 44 0.3× 171 1.3× 310 3.8× 16 837
Gerard C. van der Zon Netherlands 9 390 1.5× 261 1.4× 125 0.8× 56 0.4× 179 2.2× 9 695
Michaela Keuper Germany 17 395 1.5× 348 1.9× 294 1.9× 46 0.4× 52 0.6× 25 791
Sanda Ljubicic Switzerland 10 290 1.1× 206 1.1× 152 1.0× 117 0.9× 177 2.2× 12 730
Xuelin Cui United States 6 146 0.6× 175 1.0× 155 1.0× 49 0.4× 123 1.5× 8 424
Qidi Wang China 11 225 0.9× 224 1.2× 133 0.9× 64 0.5× 69 0.9× 16 542

Countries citing papers authored by Beate Enigk

Since Specialization
Citations

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

Fields of papers citing papers by Beate Enigk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beate Enigk

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

All Works

15 of 15 papers shown
1.
Keller, Maria, Dorit Schleinitz, Anke Tönjes, et al.. (2013). THOC5: a novel gene involved in HDL-cholesterol metabolism. Journal of Lipid Research. 54(11). 3170–3176. 13 indexed citations
2.
Schleinitz, Dorit, Nora Klöting, Yvonne Böttcher, et al.. (2011). Genetic and Evolutionary Analyses of the Human Bone Morphogenetic Protein Receptor 2 (BMPR2) in the Pathophysiology of Obesity. PLoS ONE. 6(2). e16155–e16155. 39 indexed citations
3.
Dietrich, Kerstin, Dorit Schleinitz, Jana Breitfeld, et al.. (2011). Association and evolutionary studies of the melatonin receptor 1B gene (MTNR1B) in the self‐contained population of Sorbs from Germany. Diabetic Medicine. 28(11). 1373–1380. 13 indexed citations
4.
Breitfeld, Jana, Dorit Schleinitz, Kerstin Dietrich, et al.. (2011). Role of Genetic Variation in the Human Sodium–Glucose Cotransporter 2 Gene ( SGLT2 ) in Glucose Homeostasis. Pharmacogenomics. 12(8). 1119–1126. 31 indexed citations
5.
Schleinitz, Dorit, Yvonne Böttcher, Anke Tönjes, et al.. (2010). Role of Genetic Variation in the Cannabinoid Type 1 Receptor Gene ( CNR1 ) in the Pathophysiology of Human Obesity. Pharmacogenomics. 11(5). 693–702. 17 indexed citations
6.
Schleinitz, Dorit, Nora Klöting, Antje Körner, et al.. (2009). Effect of Genetic Variation in the Human Fatty Acid Synthase Gene (FASN) on Obesity and Fat Depot‐Specific mRNA Expression. Obesity. 18(6). 1218–1225. 17 indexed citations
7.
Schleinitz, Dorit, Anke Tönjes, Yvonne Böttcher, et al.. (2009). Lack of Significant Effects of the Type 2 Diabetes Susceptibility LociJAZF1,CDC123/CAMK1D,NOTCH2,ADAMTS9,THADA, andTSPAN8/LGR5on Diabetes and Quantitative Metabolic Traits. Hormone and Metabolic Research. 42(1). 14–22. 20 indexed citations
8.
Tönjes, Anke, Dorit Schleinitz, Kerstin Dietrich, et al.. (2009). Genetic variation in GPR133 is associated with height: genome wide association study in the self-contained population of Sorbs. Human Molecular Genetics. 18(23). 4662–4668. 51 indexed citations
9.
Tönjes, Anke, Eleftheria Zeggini, Péter Kovács, et al.. (2009). Association of FTO variants with BMI and fat mass in the self-contained population of Sorbs in Germany. European Journal of Human Genetics. 18(1). 104–110. 64 indexed citations
10.
Böttcher, Yvonne, Nora Klöting, Karen Ruschke, et al.. (2009). Adipose Tissue Expression and Genetic Variants of the Bone Morphogenetic Protein Receptor 1A Gene (BMPR1A) Are Associated With Human Obesity. Diabetes. 58(9). 2119–2128. 68 indexed citations
11.
Böttcher, Yvonne, Anke Tönjes, Beate Enigk, et al.. (2007). A SNP haplotype of the forkhead transcription factor FOXO1A gene may have a protective effect against type 2 diabetes in German Caucasians. Diabetes & Metabolism. 33(4). 277–283. 15 indexed citations
12.
Körner, Antje, Yvonne Böttcher, Beate Enigk, et al.. (2007). Effects of genetic variation in the visfatin gene (PBEF1) on obesity, glucose metabolism, and blood pressure in children. Metabolism. 56(6). 772–777. 25 indexed citations
13.
Kovács, Péter, Janin Berndt, Nora Klöting, et al.. (2007). Effects of Genetic Variation in the Human Retinol Binding Protein-4 Gene (RBP4) on Insulin Resistance and Fat Depot–Specific mRNA Expression. Diabetes. 56(12). 3095–3100. 79 indexed citations
14.
Böttcher, Yvonne, Antje Körner, Thomas Reinehr, et al.. (2006). ENPP1 Variants and Haplotypes Predispose to Early Onset Obesity and Impaired Glucose and Insulin Metabolism in German Obese Children. The Journal of Clinical Endocrinology & Metabolism. 91(12). 4948–4952. 48 indexed citations
15.
Böttcher, Yvonne, Daniel Teupser, Beate Enigk, et al.. (2006). Genetic Variation in the Visfatin Gene (PBEF1) and Its Relation to Glucose Metabolism and Fat-Depot-Specific Messenger Ribonucleic Acid Expression in Humans. The Journal of Clinical Endocrinology & Metabolism. 91(7). 2725–2731. 56 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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