K Röhrig

2.1k total citations
25 papers, 1.7k citations indexed

About

K Röhrig is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, K Röhrig has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in K Röhrig's work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (7 papers) and Lipid metabolism and biosynthesis (3 papers). K Röhrig is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (7 papers) and Lipid metabolism and biosynthesis (3 papers). K Röhrig collaborates with scholars based in Germany, Belgium and United States. K Röhrig's co-authors include Hans Hauner, Thorsten Petruschke, Jürgen Eckel, Vanessa van Harmelen, Thomas Skurk, Martina Russ, Christian Herder, Hubert Kolb, Sylvia Müller-Scholze and Hiroyoshi Horikoshi and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetes.

In The Last Decade

K Röhrig

25 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Röhrig Germany 18 845 784 554 272 242 25 1.7k
Alexia Zakaroff‐Girard France 18 792 0.9× 825 1.1× 341 0.6× 240 0.9× 164 0.7× 28 1.6k
Karine Lolmède France 13 555 0.7× 564 0.7× 317 0.6× 173 0.6× 167 0.7× 14 1.2k
Kazuya Oshima Japan 14 882 1.0× 751 1.0× 416 0.8× 315 1.2× 63 0.3× 42 1.9k
Christopher Church United States 15 677 0.8× 947 1.2× 502 0.9× 128 0.5× 98 0.4× 22 1.5k
Lavanya Vishvanath United States 19 1.1k 1.3× 1.5k 1.9× 570 1.0× 165 0.6× 145 0.6× 23 2.1k
Tayeba Khan United States 9 1.0k 1.2× 1.1k 1.4× 630 1.1× 253 0.9× 69 0.3× 9 2.1k
Hiroyuki Mori United States 15 407 0.5× 610 0.8× 619 1.1× 239 0.9× 118 0.5× 23 1.6k
Thomas S. Morley United States 12 805 1.0× 921 1.2× 531 1.0× 203 0.7× 60 0.2× 17 1.8k
Shahram Hedjazifar Sweden 16 755 0.9× 961 1.2× 672 1.2× 168 0.6× 63 0.3× 22 1.8k
Alexander P. Sakers United States 9 557 0.7× 862 1.1× 452 0.8× 153 0.6× 85 0.4× 11 1.4k

Countries citing papers authored by K Röhrig

Since Specialization
Citations

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

Fields of papers citing papers by K Röhrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Röhrig

This figure shows the co-authorship network connecting the top 25 collaborators of K Röhrig. A scholar is included among the top collaborators of K Röhrig 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 K Röhrig. K Röhrig 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
2.
Carstensen‐Kirberg, Maren, K Röhrig, D. Margriet Ouwens, et al.. (2019). Sfrp5 increases glucose-stimulated insulin secretion in the rat pancreatic beta cell line INS-1E. PLoS ONE. 14(3). e0213650–e0213650. 11 indexed citations
3.
Hauck, Stefanie M., Julia M. Kannenberg, K Röhrig, et al.. (2018). Omentin‐regulated proteins combine a pro‐inflammatory phenotype with an anti‐inflammatory counterregulation in human adipocytes: A proteomics analysis. Diabetes/Metabolism Research and Reviews. 35(1). e3074–e3074. 10 indexed citations
4.
Carstensen, Maren, K Röhrig, Pia Fahlbusch, et al.. (2014). Effect of Sfrp5 on Cytokine Release and Insulin Action in Primary Human Adipocytes and Skeletal Muscle Cells. PLoS ONE. 9(1). e85906–e85906. 37 indexed citations
5.
Rose, B., Mark Lankisch, K Röhrig, et al.. (2008). Beneficial Effects of External Muscle Stimulation on Glycaemic Control in Patients with Type 2 Diabetes. Experimental and Clinical Endocrinology & Diabetes. 116(10). 577–581. 8 indexed citations
6.
Rose, B., Mark Lankisch, Christian Herder, et al.. (2007). Externe Muskelstimulation beeinflusst die Diabeteseinstellung: eine neuartige Therapieoption für Typ 2 Diabetes. Diabetologie und Stoffwechsel. 2(S 1). 1 indexed citations
7.
Herder, Christian, Hans Hauner, Burkhard Haastert, et al.. (2006). Hypoadiponectinemia and Proinflammatory State: Two Sides of the Same Coin?. Diabetes Care. 29(7). 1626–1631. 36 indexed citations
8.
Harmelen, Vanessa van, K Röhrig, & Hans Hauner. (2004). Comparison of proliferation and differentiation capacity of human adipocyte precursor cells from the omental and subcutaneous adipose tissue depot of obese subjects. Metabolism. 53(5). 632–637. 211 indexed citations
9.
Harmelen, Vanessa van, Thomas Skurk, K Röhrig, & Hans Hauner. (2003). HMG-CoA Reductase Inhibitor Cerivastatin Inhibits Interleukin-6 Expression and Secretion in Human Adipocytes. Hormone and Metabolic Research. 35(8). 466–470. 17 indexed citations
10.
Harmelen, Vanessa van, et al.. (2003). Effect of BMI and age on adipose tissue cellularity and differentiation capacity in women. International Journal of Obesity. 27(8). 889–895. 201 indexed citations
11.
Hauner, Hans, K Röhrig, & Winfried Siffert. (2002). Effects of the G-Protein β3Subunit 825T Allele on Adipogenesis and Lipolysis in Cultured Human Preadipocytes and Adipocytes. Hormone and Metabolic Research. 34(9). 475–480. 27 indexed citations
12.
Skurk, Thomas, et al.. (2001). Effect of Angiotensin Peptides on PAI-1 Expression and Production in Human Adipocytes. Hormone and Metabolic Research. 33(4). 196–200. 20 indexed citations
13.
Röhrig, K, et al.. (2001). Effects of leptin on the differentiation and metabolism of human adipocytes. International Journal of Obesity. 25(10). 1465–1470. 34 indexed citations
15.
Röhrig, K, et al.. (2000). Troglitazone reduces plasminogen activator inhibitor-1 expression and secretion in cultured human adipocytes. Diabetologia. 43(3). 377–383. 34 indexed citations
16.
Röhrig, K, et al.. (1999). The Phosphodiesterase Inhibitor IBMX Suppresses TNF-α Expression in Human Adipocyte Precursor Cells: A Possible Explanation for its Adipogenic Effect. Hormone and Metabolic Research. 31(6). 359–362. 17 indexed citations
17.
Hauner, Hans, et al.. (1998). Development of insulin-responsive glucose uptake and GLUT4 expression in differentiating human adipocyte precursor cells. International Journal of Obesity. 22(5). 448–453. 64 indexed citations
19.
Hauner, Hans, K Röhrig, & Thorsten Petruschke. (1995). Effects of epidermal growth factor (EGF), platelet‐derived growth factor (PDGF) and fibroblast growth factor (FGF) on human adipocyte development and function. European Journal of Clinical Investigation. 25(2). 90–96. 141 indexed citations
20.
Hauner, Hans, Thorsten Petruschke, Martina Russ, K Röhrig, & Jürgen Eckel. (1995). Effects of tumour necrosis factor alpha (TNFα) on glucose transport and lipid metabolism of newly-differentiated human fat cells in cell culture. Diabetologia. 38(7). 764–771. 218 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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