D.K. Apps

1.2k citations
29 papers · 1.1k · h-index 17

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Enzyme function and inhibition 4
    • Glycosylation and Glycoproteins Research 3
    • Ion channel regulation and function 3
    • RNA Interference and Gene Delivery 2
    • Protein Structure and Dynamics 2
    • Adenosine and Purinergic Signaling 4

D.K. Apps

29 papers receiving 1.0k citations

Peers

D.K. Apps
Comparison fields: 5 of 99
  • Physiology 80
  • Cell Biology 259
  • Biophysics 79
  • Cellular and Molecular Neuroscience 233
  • Molecular Biology 731
Replace David K. Apps with:
David K. Apps United Kingdom
Elisa A. Bellomo United Kingdom
Mathew Tantama United States
John Colyer United Kingdom
Helmut Bischof Austria
Benjamin Gottschalk Austria
Emrah Eroğlu Austria
Maja A. Tocilescu Germany
Dmitry S. Bilan Russia
Pavel P. Philippov Russia
D.K. Apps relative to David K. Apps United Kingdom David K. Apps's profile →
Citations per field
00.5×
David K. Apps · 1×
Citations per year

Countries citing papers authored by D.K. Apps

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986323
2 2004107
3 198590
4 198066
5 198351
6 196837
7 199136
8 197634
9 198627
10 199124
11 197023
12 198323
13 198020
14 199020
15 198920
16 196918
17 200316
18 198516
19 197716
20 199215

About D.K. Apps

D.K. Apps is a scholar working on Molecular Biology, Physiology, Cell Biology, Materials Chemistry and Pharmacology, 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), Adenosine and Purinergic Signaling (4 papers), Enzyme function and inhibition (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ion channel regulation and function (3 papers), RNA Interference and Gene Delivery (2 papers), Protein Structure and Dynamics (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Physiology (80 citations), Cell Biology (259 citations), Biophysics (79 citations), Cellular and Molecular Neuroscience (233 citations) and Molecular Biology (731 citations). D.K. Apps has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Reiner Fischer‐Colbrie, Hans Winkler, James G. Pryde, John H. Phillips, R. R. Duncan, Michael J. Shipston, 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 Biochimica et Biophysica Acta (BBA) - General Subjects.

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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