Daniela Lamers

1.3k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Daniela Lamers is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Daniela Lamers has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Daniela Lamers's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes Treatment and Management (5 papers) and Adipose Tissue and Metabolism (5 papers). Daniela Lamers is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes Treatment and Management (5 papers) and Adipose Tissue and Metabolism (5 papers). Daniela Lamers collaborates with scholars based in Germany, Belgium and Sweden. Daniela Lamers's co-authors include Henrike Sell, Jürgen Eckel, Susanne Famulla, Sonja Hartwig, Franz‐Georg Hanisch, D. Margriet Ouwens, Kristin Eckardt, Johannes Ruige, Stefan Lehr and Stefan Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetes.

In The Last Decade

Daniela Lamers

12 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome

2011 481 citations Daniela Lamers, Susanne Famulla et al. Diabetes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Lamers Germany	11	462	329	316	259	256	12	1.1k
Susanne Famulla Germany	11	688 1.5×	373 1.1×	330 1.0×	294 1.1×	385 1.5×	15	1.4k
Hiromasa Goto Japan	14	633 1.4×	219 0.7×	207 0.7×	443 1.7×	231 0.9×	35	1.2k
Stefan Müller Germany	4	281 0.6×	227 0.7×	229 0.7×	188 0.7×	127 0.5×	4	727
Gemma Pujadas Spain	17	602 1.3×	201 0.6×	122 0.4×	336 1.3×	314 1.2×	27	1.2k
Maria E. Trujillo United States	12	221 0.5×	612 1.9×	468 1.5×	437 1.7×	250 1.0×	23	1.3k
Takeyoshi Murano Japan	24	418 0.9×	265 0.8×	209 0.7×	292 1.1×	334 1.3×	52	1.2k
Frank Ulrich Beil Germany	17	381 0.8×	158 0.5×	111 0.4×	195 0.8×	398 1.6×	37	975
Michael J. Kraakman Australia	17	202 0.4×	419 1.3×	546 1.7×	456 1.8×	183 0.7×	29	1.5k
Hisazumi Araki Japan	18	220 0.5×	193 0.6×	380 1.2×	422 1.6×	225 0.9×	27	1.2k
Nadine S. Sauter Switzerland	9	295 0.6×	173 0.5×	235 0.7×	260 1.0×	418 1.6×	10	940

Countries citing papers authored by Daniela Lamers

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Lamers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Lamers

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

All Works

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12 of 12 papers shown

Jungnik, Arvid, Jorge Arrubla, Leona Plum‐Mörschel, et al.. (2022). Phase I studies of the safety, tolerability, pharmacokinetics and pharmacodynamics of the dual glucagon receptor/glucagon‐like peptide‐1 receptor agonist BI 456906. Diabetes Obesity and Metabolism. 25(4). 1011–1023. 48 indexed citations

Migliavacca, Eugenia, Daniela Lamers, John Corthésy, et al.. (2022). A Randomized Controlled Clinical Trial in Healthy Older Adults to Determine Efficacy of Glycine and N-Acetylcysteine Supplementation on Glutathione Redox Status and Oxidative Damage. SHILAP Revista de lepidopterología. 3. 852569–852569. 12 indexed citations

Andersen, Grit, et al.. (2018). Ultra‐rapid BioChaperone Lispro improves postprandial blood glucose excursions vs insulin lispro in a 14‐day crossover treatment study in people with type 1 diabetes. Diabetes Obesity and Metabolism. 20(11). 2627–2632. 32 indexed citations

Glezer, Stanislav, et al.. (2018). BioChaperone Glucagon (BCG), a Stable Ready-to-Use Liquid Glucagon Formulation, Is Well Tolerated and Quickly Restores Euglycemia after Insulin-Induced Hypoglycemia. Diabetes. 67(Supplement_1). 4 indexed citations

Hövelmann, Ulrike, et al.. (2018). Low doses of dasiglucagon consistently increase plasma glucose levels from hypoglycaemia and euglycaemia in people with type 1 diabetes mellitus. Diabetes Obesity and Metabolism. 21(3). 601–610. 23 indexed citations

Hövelmann, Ulrike, et al.. (2017). Pharmacokinetic and Pharmacodynamic Characteristics of Dasiglucagon, a Novel Soluble and Stable Glucagon Analog. Diabetes Care. 41(3). 531–537. 76 indexed citations

Schlich, Raphaela, Daniela Lamers, Jürgen Eckel, & Henrike Sell. (2015). Adipokines enhance oleic acid-induced proliferation of vascular smooth muscle cells by inducing CD36 expression. Archives of Physiology and Biochemistry. 121(3). 81–87. 14 indexed citations

Lamers, Daniela, Raphaela Schlich, A Horrighs, et al.. (2012). Differential impact of oleate, palmitate, and adipokines on expression of NF-κB target genes in human vascular smooth muscle cells. Molecular and Cellular Endocrinology. 362(1-2). 194–201. 20 indexed citations

Lehr, Stefan, Sonja Hartwig, Daniela Lamers, et al.. (2011). Identification and Validation of Novel Adipokines Released from Primary Human Adipocytes. Molecular & Cellular Proteomics. 11(1). M111.010504–M111.010504. 197 indexed citations

10.

Lamers, Daniela, Susanne Famulla, Nina Wronkowitz, et al.. (2011). Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome. Diabetes. 60(7). 1917–1925. 481 indexed citations breakdown →

11.

Famulla, Susanne, Daniela Lamers, Sonja Hartwig, et al.. (2010). Pigment epithelium-derived factor (PEDF) is one of the most abundant proteins secreted by human adipocytes and induces insulin resistance and inflammatory signaling in muscle and fat cells. International Journal of Obesity. 35(6). 762–772. 134 indexed citations

12.

Lamers, Daniela, Raphaela Schlich, Sabrina Greulich, et al.. (2010). Oleic acid and adipokines synergize in inducing proliferation and inflammatory signalling in human vascular smooth muscle cells. Journal of Cellular and Molecular Medicine. 15(5). 1177–1188. 53 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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