Daniel Bakowski
Impact in
- Sensory Systems top 0.5%
- Ion Channels and Receptors
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Asthma and respiratory diseases
Papers in
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- Ion Channels and Receptors 18
-
- Calcium signaling and nucleotide metabolism 4
- Co-authors
- Anant B. Parekh (12 shared papers)Anant B. Parekh (8 shared papers)Maike D. Glitsch (2 shared papers)Charmaine Nelson (4 shared papers)Pulak Kar (2 shared papers)Krishna Samanta (3 shared papers)Joseph L Di Capite (2 shared papers)Fraser Murray (1 shared paper)
- Journals
- The Journal of Physiology (5 papers)Current Biology (3 papers)Pflügers Archiv - European Journal of Physiology (2 papers)Cell Calcium (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Daniel Bakowski
21 papers receiving 826 citations
Peers
Comparison fields: 5 of 55
- Sensory Systems 579
- Physiology 112
- Molecular Biology 273
- Immunology 45
- Cell Biology 31
Countries citing papers authored by Daniel Bakowski
This map shows the geographic impact of Daniel Bakowski'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 Daniel Bakowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bakowski more than expected).
Fields of papers citing papers by Daniel Bakowski
This network shows the impact of papers produced by Daniel Bakowski. 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 Daniel Bakowski. The network helps show where Daniel Bakowski may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Bakowski, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 136 | |
| 2 | 2014 | 89 | |
| 3 | 2012 | 88 | |
| 4 | 2011 | 85 | |
| 5 | 2002 | 75 | |
| 6 | 2020 | 52 | |
| 7 | 2002 | 41 | |
| 8 | 2007 | 41 | |
| 9 | 2012 | 35 | |
| 10 | 2002 | 27 | |
| 11 | 2014 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2012 | 23 | |
| 14 | 2007 | 22 | |
| 15 | 2000 | 15 | |
| 16 | 2001 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2003 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2007 | 2 |
About Daniel Bakowski
Daniel Bakowski is a scholar working on Sensory Systems, Physiology, Molecular Biology, Cell Biology and Infectious Diseases, having authored 21 papers that have together received 836 indexed citations. Recurring topics across this work include Ion Channels and Receptors (18 papers), Ion channel regulation and function (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Receptor Mechanisms and Signaling (1 paper), Signaling Pathways in Disease (1 paper), COVID-19 Clinical Research Studies (1 paper), Cellular transport and secretion (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Sensory Systems (579 citations), Physiology (112 citations), Molecular Biology (273 citations), Immunology (45 citations) and Cell Biology (31 citations). Daniel Bakowski has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Anant B. Parekh, Anant B. Parekh, Maike D. Glitsch, Charmaine Nelson, Pulak Kar, Krishna Samanta, Joseph L Di Capite, Fraser Murray, Holger Kramer and Otto Morris. Their work appears in journals such as The Journal of Physiology, Current Biology, Pflügers Archiv - European Journal of Physiology, Cell Calcium and Nature 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.