Karin Bartel
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- ATP Synthase and ATPases Research 3
- Cancer therapeutics and mechanisms 3
- Physiology 13
- Calcium signaling and nucleotide metabolism 13
- Adenosine and Purinergic Signaling 4
- Co-authors
- Angelika M. Vollmar (18 shared papers)Christian Grimm (12 shared papers)Martin Biel (7 shared papers)Martin Müller (8 shared papers)Yu‐Kai Chao (7 shared papers)Franz Bracher (11 shared papers)Christian Wahl‐Schott (2 shared papers)Melanie Ulrich (2 shared papers)
- Journals
- Blood (2 papers)Frontiers in Immunology (2 papers)Pharmaceuticals (2 papers)Journal of Medicinal Chemistry (2 papers)Molecules (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Karin Bartel
27 papers receiving 732 citations
Peers
Comparison fields: 5 of 83
- Physiology 318
- Sensory Systems 165
- Pharmacology 67
- Cell Biology 101
- Molecular Biology 287
Countries citing papers authored by Karin Bartel
This map shows the geographic impact of Karin Bartel'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 Karin Bartel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Bartel more than expected).
Fields of papers citing papers by Karin Bartel
This network shows the impact of papers produced by Karin Bartel. 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 Karin Bartel. The network helps show where Karin Bartel may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Bartel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 112 | |
| 2 | 2019 | 81 | |
| 3 | 2018 | 79 | |
| 4 | 2020 | 70 | |
| 5 | 2018 | 55 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 46 | |
| 8 | 2016 | 39 | |
| 9 | 2019 | 37 | |
| 10 | 2020 | 28 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 7 |
About Karin Bartel
Karin Bartel is a scholar working on Molecular Biology, Physiology, Pharmacology, Sensory Systems and Cancer Research, having authored 29 papers that have together received 736 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (13 papers), Ion Channels and Receptors (6 papers), Adenosine and Purinergic Signaling (4 papers), Berberine and alkaloids research (4 papers), Cellular transport and secretion (3 papers), ATP Synthase and ATPases Research (3 papers), Cancer therapeutics and mechanisms (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Physiology (318 citations), Sensory Systems (165 citations), Pharmacology (67 citations), Cell Biology (101 citations) and Molecular Biology (287 citations). Karin Bartel has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Angelika M. Vollmar, Christian Grimm, Martin Biel, Martin Müller, Yu‐Kai Chao, Franz Bracher, Christian Wahl‐Schott, Melanie Ulrich, Rolf Müller and Ong Nam Phuong Nguyen. Their work appears in journals such as Blood, Frontiers in Immunology, Pharmaceuticals, Journal of Medicinal Chemistry and Molecules.
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.