D.K. Apps
- Physiology top 5%
- Adenosine and Purinergic Signaling 4
- Cell Biology top 5%
- Biophysics top 5%
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 8
- Enzyme function and inhibition 4
- Glycosylation and Glycoproteins Research 3
- Ion channel regulation and function 3
- Protein Structure and Dynamics 2
- ATP Synthase and ATPases Research 2
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- Sirtuins and Resveratrol in Medicine 2
- Co-authors
- Hans WinklerReiner Fischer‐ColbrieJames G. PrydeJohn H. PhillipsMichael J. ShipstonR. R. DuncanMichael A. CousinAxel Bergmann
- Cited by
- PhysiologyCell BiologyBiophysics
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
D.K. Apps
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Physiology 80
- Cell Biology 262
- Biophysics 80
- Cellular and Molecular Neuroscience 236
- Molecular Biology 738
Countries citing papers authored by D.K. Apps
This map shows the geographic impact of D.K. Apps'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 D.K. Apps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.K. Apps more than expected).
Fields of papers citing papers by D.K. Apps
This network shows the impact of papers produced by D.K. Apps. 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 D.K. Apps. The network helps show where D.K. Apps may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D.K. Apps, 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 | 2004 | 108 | |
| 2 | 2003 | 16 | |
| 3 | 1994 | 11 | |
| 4 | 1992 | 15 | |
| 5 | 1991 | 24 | |
| 6 | 1991 | 35 | |
| 7 | 1990 | 20 | |
| 8 | 1986 | 324 | |
| 9 | 1986 | 27 | |
| 10 | A Companion to medical studies : anatomy, biochemistry, and physiology | 1985 | 1 |
| 11 | 1985 | 16 | |
| 12 | 1985 | 90 | |
| 13 | 1983 | 23 | |
| 14 | 1983 | 51 | |
| 15 | 1977 | 14 | |
| 16 | 1976 | 34 | |
| 17 | 1972 | 8 | |
| 18 | 1969 | 5 | |
| 19 | 1969 | 18 | |
| 20 | 1969 | 9 |
About D.K. Apps
D.K. Apps is a scholar working on Physiology, Geriatrics and Gerontology, Biophysics, Pharmaceutical Science and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Enzyme function and inhibition (4 papers), Adenosine and Purinergic Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ion channel regulation and function (3 papers), Protein Structure and Dynamics (2 papers), ATP Synthase and ATPases Research (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Physiology (80 citations), Cell Biology (262 citations), Biophysics (80 citations), Cellular and Molecular Neuroscience (236 citations) and Molecular Biology (738 citations). D.K. Apps has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hans Winkler, Reiner Fischer‐Colbrie, James G. Pryde, John H. Phillips, Michael J. Shipston, R. R. Duncan, Michael A. Cousin, Axel Bergmann, José R. Pérez‐Castiñeira and Raul Sutton. Their work appears in journals such as Biochemical Journal, Neuroscience, FEBS Letters, European Journal of Biochemistry and Journal of Microscopy.
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.