David K. Apps
Impact in
- Physiology top 5%
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- 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
- Enzyme function and inhibition 3
- Cell Biology 10
- Cellular transport and secretion 8
- Co-authors
- James G. Pryde (4 shared papers)Raul Sutton (3 shared papers)Gottfried Schatz (1 shared paper)John H. Phillips (4 shared papers)Jürgen Ludwig (2 shared papers)Hermann Schägger (2 shared papers)Ulrich Brandt (1 shared paper)Stefan Kerscher (1 shared paper)
- Journals
- FEBS Letters (9 papers)European Journal of Biochemistry (6 papers)Annals of the New York Academy of Sciences (6 papers)Biochemical Society Transactions (3 papers)Biochemical Journal (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David K. Apps
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Physiology 94
- Cell Biology 281
- Molecular Biology 882
- Cellular and Molecular Neuroscience 187
- Endocrinology, Diabetes and Metabolism 125
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-authors
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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 243 | |
| 2 | 2003 | 179 | |
| 3 | 1979 | 89 | |
| 4 | 1980 | 68 | |
| 5 | 1984 | 48 | |
| 6 | 1978 | 47 | |
| 7 | 1981 | 44 | |
| 8 | 2016 | 43 | |
| 9 | 1980 | 43 | |
| 10 | 1983 | 42 | |
| 11 | 1975 | 37 | |
| 12 | 1984 | 35 | |
| 13 | 1973 | 27 | |
| 14 | 1993 | 25 | |
| 15 | 1996 | 20 | |
| 16 | 1992 | 18 | |
| 17 | 1982 | 18 | |
| 18 | 1982 | 17 | |
| 19 | 1991 | 15 | |
| 20 | 1989 | 14 |
About David K. Apps
David K. Apps is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Physiology and Organic Chemistry, having authored 42 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), Biochemical and Molecular Research (3 papers) and Enzyme function and inhibition (3 papers). The work is most often cited by research in Physiology (94 citations), Cell Biology (281 citations), Molecular Biology (882 citations), Cellular and Molecular Neuroscience (187 citations) and Endocrinology, Diabetes and Metabolism (125 citations). David K. Apps has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include James G. Pryde, Raul Sutton, Gottfried Schatz, John H. Phillips, Jürgen Ludwig, Hermann Schägger, Ulrich Brandt, Stefan Kerscher, Kathy Pfeiffer and R. R. Duncan. 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.