David K. Apps
- Physiology top 5%
- Adenosine and Purinergic Signaling 4
- Cell Biology top 5%
- Cellular transport and secretion 8
- Molecular Biology top 10%
- ATP Synthase and ATPases Research 12
- Lipid Membrane Structure and Behavior 9
- Mitochondrial Function and Pathology 5
- Glycosylation and Glycoproteins Research 3
- Biochemical and Molecular Research 3
-
- Photoreceptor and optogenetics research 3
- Co-authors
- James G. PrydeGottfried SchatzRaul SuttonJohn H. PhillipsJürgen LudwigHermann SchäggerStefan KerscherKathy Pfeiffer
- Journals
- FEBS Letters (9 papers)European Journal of Biochemistry (6 papers)Annals of the New York Academy of Sciences (6 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David K. Apps
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Physiology 96
- Cell Biology 283
- Molecular Biology 885
- Cellular and Molecular Neuroscience 187
- Endocrinology, Diabetes and Metabolism 133
Countries citing papers authored by David K. Apps
This map shows the geographic impact of David 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 David 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 David K. Apps more than expected).
Fields of papers citing papers by David K. Apps
This network shows the impact of papers produced by David 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 David K. Apps. The network helps show where David K. Apps may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2003 | 179 | |
| 2 | 2002 | 5 | |
| 3 | 2002 | 3 | |
| 4 | 2002 | 3 | |
| 5 | 2001 | 5 | |
| 6 | 2000 | 1 | |
| 7 | 1998 | 241 | |
| 8 | 1997 | 12 | |
| 9 | 1996 | 6 | |
| 10 | 1996 | 20 | |
| 11 | 1996 | 12 | |
| 12 | 1996 | 10 | |
| 13 | 1995 | 3 | |
| 14 | 1993 | 25 | |
| 15 | 1992 | 18 | |
| 16 | 1991 | 15 | |
| 17 | 1985 | 3 | |
| 18 | 1984 | 35 | |
| 19 | 1980 | 68 | |
| 20 | 1971 | 10 |
About David K. Apps
David K. Apps is a scholar working on Physiology, Cell Biology, Molecular Biology, Biophysics and Toxicology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (12 papers), Lipid Membrane Structure and Behavior (9 papers), Cellular transport and secretion (8 papers), Mitochondrial Function and Pathology (5 papers), Adenosine and Purinergic Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers), Photoreceptor and optogenetics research (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Physiology (96 citations), Cell Biology (283 citations), Molecular Biology (885 citations), Cellular and Molecular Neuroscience (187 citations) and Endocrinology, Diabetes and Metabolism (133 citations). David K. Apps has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include James G. Pryde, Gottfried Schatz, Raul Sutton, John H. Phillips, Jürgen Ludwig, Hermann Schägger, Stefan Kerscher, Kathy Pfeiffer, Ulrich Brandt and Michael J. Shipston. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Annals of the New York Academy of Sciences, Biochemical Society Transactions 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.