Carmen Härdtner
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- Diabetes Treatment and Management
Papers in
- Surgery 9
- Pancreatic function and diabetes 4
- Lipoproteins and Cardiovascular Health 3
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- Single-cell and spatial transcriptomics 2
- ATP Synthase and ATPases Research 2
- Co-authors
- Ingo Hilgendorf (13 shared papers)Dennis Wolf (8 shared papers)Natalie Hoppe (6 shared papers)Christoph Bode (5 shared papers)Peter Stachon (6 shared papers)Andreas Zirlik (4 shared papers)Florian Willecke (3 shared papers)Reinhard Walther (4 shared papers)
- Journals
- Basic Research in Cardiology (3 papers)Scientific Reports (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Current Opinion in Lipidology (1 paper)Atherosclerosis (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Carmen Härdtner
16 papers receiving 370 citations
Peers
Comparison fields: 5 of 74
- Physiology 47
- Endocrinology, Diabetes and Metabolism 77
- Immunology 86
- Biological Psychiatry 8
- Cardiology and Cardiovascular Medicine 63
Countries citing papers authored by Carmen Härdtner
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2019 | 66 | |
| 3 | 2018 | 44 | |
| 4 | 2013 | 27 | |
| 5 | 2012 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2011 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Carmen Härdtner
Carmen Härdtner is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Epidemiology, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Immune cells in cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), ATP Synthase and ATPases Research (2 papers), Cell Adhesion Molecules Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (47 citations), Endocrinology, Diabetes and Metabolism (77 citations), Immunology (86 citations), Biological Psychiatry (8 citations) and Cardiology and Cardiovascular Medicine (63 citations). Carmen Härdtner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Ingo Hilgendorf, Dennis Wolf, Natalie Hoppe, Christoph Bode, Peter Stachon, Andreas Zirlik, Florian Willecke, Reinhard Walther, Uwe Lendeckel and Carmen Wolke. Their work appears in journals such as Basic Research in Cardiology, Scientific Reports, Journal of Molecular and Cellular Cardiology, Current Opinion in Lipidology and Atherosclerosis.
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.