Carmen Härdtner

16 papers receiving 379 citations

Peers

Carmen Härdtner
Comparison fields: 5 of 74
  • Physiology 46
  • Endocrinology, Diabetes and Metabolism 66
  • Immunology 78
  • Biological Psychiatry 8
  • Cardiology and Cardiovascular Medicine 51
Replace Magdalena A. Zabielska-Kaczorowska with:
Magdalena A. Zabielska-Kaczorowska Poland
Laura Schembri Italy
Marisa Sepúlveda United States
Jacques Chevalier France
Sandra S. Hammer United States
Outi Villet United States
Lan Xu China
Antonela Gverović Antunica Croatia
Omar Sadiq United States
Carlo Gesualdo Italy
Carmen Härdtner relative to Magdalena A. Zabielska-Kaczorowska Poland Magdalena A. Zabielska-Kaczorowska's profile →
Citations per field
00.5×3.7×
Magdalena A. Zabielska-Kaczorowska · 1×
Citations per year

Countries citing papers authored by Carmen Härdtner

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Härdtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201785
2 201967
3 201844
4 201328
5 201224
6 202123
7 202019
8 201117
9 202216
10 201415
11 202114
12 20228
13 20217
14 20237
15 20224
16 20113
17 20250
18 20250

About Carmen Härdtner

Carmen Härdtner is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Immunology and Epidemiology, having authored 18 papers that have together received 381 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Mitochondrial Function and Pathology (2 papers), Adenosine and Purinergic Signaling (2 papers), Diabetes Treatment and Management (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Immune cells in cancer (2 papers), ATP Synthase and ATPases Research (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Physiology (46 citations), Endocrinology, Diabetes and Metabolism (66 citations), Immunology (78 citations), Biological Psychiatry (8 citations) and Cardiology and Cardiovascular Medicine (51 citations). Carmen Härdtner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Ingo Hilgendorf, Christoph Bode, Natalie Hoppe, Dennis Wolf, Peter Stachon, Andreas Zirlik, Florian Willecke, Uwe Lendeckel, Reinhard Walther and Constantin von zur Mühlen. Their work appears in journals such as Basic Research in Cardiology, Journal of Molecular and Cellular Cardiology, Circulation, Frontiers in Cardiovascular Medicine and Molecular Metabolism.

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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