Daniel Bakowski

923 citations
22 papers · 787 indexed · h-index 15

Impact in

Papers in

Daniel Bakowski

22 papers receiving 785 citations

Peers

Daniel Bakowski
Comparison fields: 5 of 72
  • Sensory Systems 494
  • Physiology 77
  • Biochemistry 96
  • Cellular and Molecular Neuroscience 280
  • Toxicology 26
Replace Joseph Di Capite with:
Joseph Di Capite United Kingdom
Bettina Strauß Germany
Nigel J. Parker Australia
Ryan E. Yoast United States
Scott M. Emrich United States
Trayambak Pathak United States
Maylis Raphaël France
Jongyun Myeong South Korea
Marek Korzeniowski United States
Véronique Juvin United Kingdom
Daniel Bakowski relative to Joseph Di Capite United Kingdom Joseph Di Capite's profile →
Citations per field
00.5×4.4×
Joseph Di Capite · 1×
Citations per year

Countries citing papers authored by Daniel Bakowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Daniel Bakowski Line = papers co-authored together Daniel Bakowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001135
2 201483
3 201180
4 201278
5 200274
6 202044
7 200240
8 200736
9 201233
10 200227
11 201424
12 201220
13 200720
14 201918
15 200015
16 200114
17 200313
18 201813
19 202011
20 20017

About Daniel Bakowski

Daniel Bakowski is a scholar working on Molecular Biology, Sensory Systems, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 22 papers that have together received 787 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Ion Channels and Receptors (13 papers), Neuroscience and Neuropharmacology Research (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Sensory Systems (494 citations), Physiology (77 citations), Biochemistry (96 citations), Cellular and Molecular Neuroscience (280 citations) and Toxicology (26 citations). Daniel Bakowski has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Anant B. Parekh, Anant B. Parekh, Maike D. Glitsch, Charmaine Nelson, Pulak Kar, Krishna Samanta, Joseph 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 Biochemical Journal.

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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