Margit Klier

26 papers receiving 1.2k citations

Peers

Margit Klier
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 171
  • Physiology 447
  • Epidemiology 561
  • Pathology and Forensic Medicine 185
  • Oncology 210
Replace Caren Vollmert with:
Caren Vollmert Germany
Elyisha A. Hanniman Canada
Nan Wu United States
Annika Nerstedt Sweden
Miina K. Öhman United States
Hiroyuki Mori United States
Naomi Hosogai Japan
Kihwa Kang United States
Henning Gohlke Germany
Victoria Rotter Sopasakis Sweden
Margit Klier relative to Caren Vollmert Germany Caren Vollmert's profile →
Citations per field
00.5×2.7×
Caren Vollmert · 1×
Citations per year

Countries citing papers authored by Margit Klier

Since Specialization
Citations

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

Fields of papers citing papers by Margit Klier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Margit Klier, 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 Margit Klier Line = papers co-authored together Margit Klier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003422
2 200489
3 200469
4 200863
5 200461
6 200951
7 201249
8 200643
9 198342
10 200340
11 200437
12 200436
13 200833
14 198330
15 200928
16 198125
17 200319
18 198113
19 198110
20 19809

About Margit Klier

Margit Klier is a scholar working on Physiology, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (4 papers), Neuropeptides and Animal Physiology (4 papers), Regulation of Appetite and Obesity (4 papers), Diabetes Management and Research (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (171 citations), Physiology (447 citations), Epidemiology (561 citations), Pathology and Forensic Medicine (185 citations) and Oncology (210 citations). Margit Klier has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Mathias Faßhauer, Ulrike Lössner, Johannes Klein, Ralf Paschke, Matthias Blüher, Susan Kralisch, Leticia Quintanilla-Martı́nez, Falko Fend, Mark Raffeld and Nataša Anastasov. Their work appears in journals such as FEBS Letters, Haematologica, Journal of Endocrinology, Hormone and Metabolic Research and Biochemical and Biophysical Research Communications.

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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