David A. Dik
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 3
- Genetics 15
- Bacterial Genetics and Biotechnology 15
- Co-authors
- Shahriar Mobashery (15 shared papers)Jed F. Fisher (11 shared papers)Daniel R. Marous (3 shared papers)Elena Lastochkin (8 shared papers)Mijoon Lee (8 shared papers)Dušan Hesek (7 shared papers)Bill Boggess (6 shared papers)Peter G. Schultz (5 shared papers)
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemistry (2 papers)Journal of the American Chemical Society (2 papers)ACS Chemical Biology (2 papers)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
David A. Dik
21 papers receiving 643 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 158
- Endocrinology 61
- Genetics 243
- Microbiology 37
- Ecology 141
Countries citing papers authored by David A. Dik
This map shows the geographic impact of David A. Dik'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 A. Dik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Dik more than expected).
Fields of papers citing papers by David A. Dik
This network shows the impact of papers produced by David A. Dik. 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 A. Dik. The network helps show where David A. Dik may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Dik, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | 2017 | 123 | |
| 3 | 2017 | 45 | |
| 4 | 2018 | 34 | |
| 5 | 2017 | 33 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2016 | 23 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2025 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2017 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2017 | 5 |
About David A. Dik
David A. Dik is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Ecology and Endocrinology, having authored 21 papers that have together received 646 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Genomics and Phylogenetic Studies (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacteriophages and microbial interactions (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (158 citations), Endocrinology (61 citations), Genetics (243 citations), Microbiology (37 citations) and Ecology (141 citations). David A. Dik has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Shahriar Mobashery, Jed F. Fisher, Daniel R. Marous, Elena Lastochkin, Mijoon Lee, Dušan Hesek, Bill Boggess, Peter G. Schultz, J.A. Hermoso and Christian S. Diercks. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Biochemistry, Journal of the American Chemical Society and ACS Chemical Biology.
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.