David D. van Niekerk
- Biophysics top 10%
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- Gene Regulatory Network Analysis 8
- Microbial Metabolic Engineering and Bioproduction 4
- Fungal and yeast genetics research 4
- Protein Structure and Dynamics 2
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- Nonlinear Dynamics and Pattern Formation 4
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- High-Energy Particle Collisions Research 3
- Quantum Chromodynamics and Particle Interactions 3
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- Malaria Research and Control 3
- Co-authors
- Jacky L. SnoepMattias GoksörCaroline B. AdielsAnna‐Karin GustavssonBob W. KooiJohann M. RohwerLars MalmströmFinn Bacall
- Partner nations
- South AfricaNetherlandsUnited Kingdom
In The Last Decade
David D. van Niekerk
21 papers receiving 348 citations
Peers
Comparison fields: 5 of 82
- Information Systems and Management 41
- Biophysics 26
- Structural Biology 5
- Modeling and Simulation 15
- Molecular Biology 213
Countries citing papers authored by David D. van Niekerk
This map shows the geographic impact of David D. van Niekerk'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 D. van Niekerk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. van Niekerk more than expected).
Fields of papers citing papers by David D. van Niekerk
This network shows the impact of papers produced by David D. van Niekerk. 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 D. van Niekerk. The network helps show where David D. van Niekerk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David D. van Niekerk, 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 | 2024 | 3 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 15 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 75 | |
| 12 | 2015 | 27 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 32 | |
| 15 | 2013 | 10 | |
| 16 | 2012 | 52 | |
| 17 | 2012 | 20 | |
| 18 | 2012 | 28 | |
| 19 | 2011 | 0 | |
| 20 | 2010 | 8 |
About David D. van Niekerk
David D. van Niekerk is a scholar working on Information Systems and Management, Nuclear and High Energy Physics and Molecular Biology, having authored 22 papers that have together received 348 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Fungal and yeast genetics research (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), High-Energy Particle Collisions Research (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Malaria Research and Control (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Information Systems and Management (41 citations), Biophysics (26 citations) and Structural Biology (5 citations). David D. van Niekerk has collaborated with scholars based in South Africa, Netherlands and United Kingdom. Frequent co-authors include Jacky L. Snoep, Mattias Goksör, Caroline B. Adiels, Anna‐Karin Gustavsson, Bob W. Kooi, Johann M. Rohwer, Lars Malmström, Finn Bacall, Wolfgang G. Müller and Katherine Wolstencroft. Their work appears in journals such as FEBS Journal, Biosystems, Biochemical Society Transactions, Essays in Biochemistry and FEBS Letters.
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.