Dan Søndergaard
Impact in
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- Scientific Computing and Data Management
- Ecology top 10%
- Microbial Community Ecology and Physiology
Papers in
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- Scientific Computing and Data Management 3
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- Arsenic contamination and mitigation 1
- Co-authors
- Christian N. S. Pedersen (4 shared papers)Chris Greening (1 shared paper)Torbjörn Säll (1 shared paper)Timo T. Sachsenberg (3 shared papers)Björn M. Hallström (1 shared paper)Victoria Domínguez Del Angel (3 shared papers)Daniel J Blankenberg (3 shared papers)Frederik Teilfeldt Hansen (1 shared paper)
- Journals
- F1000Research (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Dan Søndergaard
10 papers receiving 540 citations
Peers
Comparison fields: 5 of 28
- Information Systems and Management 33
- Ecology 99
- Environmental Chemistry 34
- Pollution 23
- Renewable Energy, Sustainability and the Environment 34
Countries citing papers authored by Dan Søndergaard
This map shows the geographic impact of Dan Søndergaard'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 Dan Søndergaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Søndergaard more than expected).
Fields of papers citing papers by Dan Søndergaard
This network shows the impact of papers produced by Dan Søndergaard. 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 Dan Søndergaard. The network helps show where Dan Søndergaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Søndergaard, 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 | 2016 | 403 | |
| 2 | 2019 | 39 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2015 | 25 | |
| 6 | 2017 | 11 | |
| 7 | 2007 | 2 | |
| 8 | Secure Program Partitioning in Dynamic Networks | 2008 | 1 |
| 9 | 2015 | 1 | |
| 10 | Recommendations for the packaging and containerizing of bioinformatics software [version 2; peer review: 2 approved, 1 approved with reservations] | 2019 | 1 |
About Dan Søndergaard
Dan Søndergaard is a scholar working on Information Systems and Management, Environmental Chemistry, Pharmacology, Renewable Energy, Sustainability and the Environment and Molecular Biology, having authored 10 papers that have together received 543 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Machine Learning in Bioinformatics (1 paper), Arsenic contamination and mitigation (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Information Systems and Management (33 citations), Ecology (99 citations), Environmental Chemistry (34 citations), Pollution (23 citations) and Renewable Energy, Sustainability and the Environment (34 citations). Dan Søndergaard has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Christian N. S. Pedersen, Chris Greening, Torbjörn Säll, Timo T. Sachsenberg, Björn M. Hallström, Victoria Domínguez Del Angel, Daniel J Blankenberg, Frederik Teilfeldt Hansen, Marie Vahter and Brian D. O’Connor. Their work appears in journals such as F1000Research, PLoS ONE, Scientific Reports, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics and Bioinformatics.
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.