David Wickström
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 7
- Advanced biosensing and bioanalysis techniques 2
- Machine Learning in Bioinformatics 1
- Glycosylation and Glycoproteins Research 1
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Jan‐Willem De Gier (10 shared papers)Joen Luirink (6 shared papers)Wouter S.P. Jong (3 shared papers)Mirjam Klepsch (6 shared papers)Samuel Wagner (6 shared papers)Dirk Jan Slotboom (2 shared papers)Klaas J. van Wijk (4 shared papers)Corinne M. ten Hagen‐Jongman (2 shared papers)
- Journals
- Microbial Biotechnology (1 paper)Methods (1 paper)FEBS Journal (1 paper)Journal of Biological Chemistry (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- SwedenNetherlandsUnited States
In The Last Decade
David Wickström
11 papers receiving 485 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 135
- Molecular Medicine 57
- Genetics 288
- Microbiology 40
- Ecology 153
Countries citing papers authored by David Wickström
This map shows the geographic impact of David Wickström'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 Wickström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wickström more than expected).
Fields of papers citing papers by David Wickström
This network shows the impact of papers produced by David Wickström. 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 Wickström. The network helps show where David Wickström may publish in the future.
Co-authors
The 25 scholars most cited alongside David Wickström, 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 | 2009 | 113 | |
| 2 | 2007 | 101 | |
| 3 | 2009 | 54 | |
| 4 | 2008 | 43 | |
| 5 | 2012 | 43 | |
| 6 | 2011 | 36 | |
| 7 | 2010 | 34 | |
| 8 | 2009 | 23 | |
| 9 | 2008 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2010 | 10 |
About David Wickström
David Wickström is a scholar working on Molecular Biology, Genetics, Ecology, Spectroscopy and Endocrinology, having authored 11 papers that have together received 489 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Escherichia coli research studies (2 papers), Machine Learning in Bioinformatics (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrinology (135 citations), Molecular Medicine (57 citations), Genetics (288 citations), Microbiology (40 citations) and Ecology (153 citations). David Wickström has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Jan‐Willem De Gier, Joen Luirink, Wouter S.P. Jong, Mirjam Klepsch, Samuel Wagner, Dirk Jan Slotboom, Klaas J. van Wijk, Corinne M. ten Hagen‐Jongman, Susan Schlegel and Roel C. van der Schors. Their work appears in journals such as Microbial Biotechnology, Methods, FEBS Journal, Journal of Biological Chemistry and Molecular Microbiology.
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.