Chresten R. Søndergaard
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Jan H. JensenMats H. M. OlssonMichał RostkowskiJens Erik NielsenGianluca PollastriLawrence P. McIntoshDamien FarrellGregory M. Lee
- Topics
- Protein Structure and Dynamics (7 papers)Computational Drug Discovery Methods (5 papers)Enzyme Structure and Function (4 papers)
In The Last Decade
Chresten R. Søndergaard
12 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.7k
- Materials Chemistry 803
- Computational Theory and Mathematics 716
- Organic Chemistry 587
- Cellular and Molecular Neuroscience 401
Countries citing papers authored by Chresten R. Søndergaard
This map shows the geographic impact of Chresten R. 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 Chresten R. Søndergaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chresten R. Søndergaard more than expected).
Fields of papers citing papers by Chresten R. Søndergaard
This network shows the impact of papers produced by Chresten R. 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 Chresten R. Søndergaard. The network helps show where Chresten R. Søndergaard may publish in the future.
Co-authorship network of co-authors of Chresten R. Søndergaard
This figure shows the co-authorship network connecting the top 25 collaborators of Chresten R. Søndergaard. A scholar is included among the top collaborators of Chresten R. Søndergaard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chresten R. Søndergaard. Chresten R. Søndergaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions | 26 |
| 3 | 345 | |
| 4 | PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKaPredictionsbreakdown → | 3276 |
| 5 | Improved Treatment of Ligands and Coupling Effects in Empirical Calculation and Rationalization of pKa Valuesbreakdown → | 1429 |
| 6 | 14 | |
| 7 | 90 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 36 | |
| 11 | 28 | |
| 12 | 6 |
About Chresten R. Søndergaard
Chresten R. Søndergaard is a scholar working on Computational Theory and Mathematics, Microbiology and Organic Chemistry, having authored 12 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Computational Theory and Mathematics (716 citations) and Biochemistry (212 citations). Chresten R. Søndergaard has collaborated with scholars based in Ireland, Denmark and Canada. Frequent co-authors include Jan H. Jensen, Mats H. M. Olsson, Michał Rostkowski, Jens Erik Nielsen, Gianluca Pollastri, Lawrence P. McIntosh, Damien Farrell, Gregory M. Lee, Helen Webb and Kaare Teilum. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology 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.