Daniela Lamers

1.3k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 11

Impact in

Papers in

Daniela Lamers

12 papers receiving 1.1k citations

Hit Papers

Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome 2011 · 481 citations
4810+5+10Years since publication100200300400

Peers

Daniela Lamers
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 462
  • Physiology 329
  • Endocrine and Autonomic Systems 68
  • Epidemiology 316
  • Oncology 227
Replace Susanne Famulla with:
Susanne Famulla Germany
Stefan Müller Germany
Gemma Pujadas Spain
Hiroshi Satonaka Japan
Hiromasa Goto Japan
Maria E. Trujillo United States
Frank Ulrich Beil Germany
Michael J. Kraakman Australia
Nadine S. Sauter Switzerland
Kazuaki Miyake Japan
Daniela Lamers relative to Susanne Famulla Germany Susanne Famulla's profile →
Citations per field
00.5×1.5×
Susanne Famulla · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniela Lamers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Lamers Line = papers co-authored together Daniela Lamers links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome
Hit paper breakdown →
2011481
2 2011197
3 2010134
4 201776
5 201053
6 202248
7 201832
8 201823
9 201220
10 201514
11 202212
12 20184

About Daniela Lamers

Daniela Lamers is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Surgery and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (3 papers), Neuropeptides and Animal Physiology (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (462 citations), Physiology (329 citations), Endocrine and Autonomic Systems (68 citations), Epidemiology (316 citations) and Oncology (227 citations). Daniela Lamers has collaborated with scholars based in Germany, Belgium and Sweden. Frequent co-authors include Henrike Sell, Jürgen Eckel, Sonja Hartwig, Susanne Famulla, D. Margriet Ouwens, Johannes Ruige, Kristin Eckardt, Stefan Lehr, Franz‐Georg Hanisch and Stefan Müller. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes, Molecular & Cellular Proteomics, Diabetes Care and International Journal of Obesity.

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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