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 ⓘ
-
- Cancer therapeutics and mechanisms 3
- ATP Synthase and ATPases Research 3
- Physiology 12
- Calcium signaling and nucleotide metabolism 12
- Adenosine and Purinergic Signaling 4
- Co-authors
- Angelika M. Vollmar (18 shared papers)Christian Grimm (11 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
- Molecules (2 papers)Cancers (2 papers)Pharmaceuticals (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Karin Bartel
26 papers receiving 692 citations
Peers
Comparison fields: 5 of 81
- Physiology 300
- Sensory Systems 162
- Pharmacology 60
- Cell Biology 101
- Molecular Biology 290
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 111 | |
| 2 | 2019 | 77 | |
| 3 | 2018 | 77 | |
| 4 | 2020 | 68 | |
| 5 | 2018 | 53 | |
| 6 | 2021 | 44 | |
| 7 | 2021 | 44 | |
| 8 | 2016 | 36 | |
| 9 | 2019 | 34 | |
| 10 | 2020 | 27 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 5 |
About Karin Bartel
Karin Bartel is a scholar working on Molecular Biology, Physiology, Pharmacology, Sensory Systems and Cancer Research, having authored 28 papers that have together received 695 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (12 papers), Ion Channels and Receptors (6 papers), Adenosine and Purinergic Signaling (4 papers), Berberine and alkaloids research (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer therapeutics and mechanisms (3 papers), ATP Synthase and ATPases Research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Physiology (300 citations), Sensory Systems (162 citations), Pharmacology (60 citations), Cell Biology (101 citations) and Molecular Biology (290 citations). Karin Bartel has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Angelika M. Vollmar, Christian Grimm, Martin Biel, Martin Müller, Yu‐Kai Chao, Franz Bracher, Christian Wahl‐Schott, Melanie Ulrich, Ong Nam Phuong Nguyen and Rolf Müller. Their work appears in journals such as Molecules, Cancers, Pharmaceuticals, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.