Daniel Seeliger
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Protein purification and stability
Papers in
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- Computational Drug Discovery Methods 14
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- Protein Structure and Dynamics 22
- Protein purification and stability 6
- Receptor Mechanisms and Signaling 5
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Bert L. de Groot (20 shared papers)Vytautas Gapsys (5 shared papers)Servaas Michielssens (4 shared papers)Christofer S. Tautermann (6 shared papers)Eckhard Spohr (2 shared papers)Ch. Hartnig (2 shared papers)Herman van Vlijmen (1 shared paper)Laura Pérez‐Benito (1 shared paper)
- Journals
- Biophysical Journal (4 papers)Structure (3 papers)Angewandte Chemie International Edition (3 papers)mAbs (3 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Seeliger
42 papers receiving 4.1k citations
Daniel Seeliger's Hit Papers
Peers
Comparison fields: 5 of 149
- Computational Theory and Mathematics 821
- Molecular Biology 2.6k
- Pharmacology 191
- Radiology, Nuclear Medicine and Imaging 330
- Toxicology 49
Countries citing papers authored by Daniel Seeliger
This map shows the geographic impact of Daniel Seeliger'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 Daniel Seeliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seeliger more than expected).
Fields of papers citing papers by Daniel Seeliger
This network shows the impact of papers produced by Daniel Seeliger. 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 Daniel Seeliger. The network helps show where Daniel Seeliger may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Seeliger, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ligand docking and binding site analysis with PyMOL and Autodock/Vina Hit paper breakdown → | 2010 | 2013 |
| 2 | 2014 | 223 | |
| 3 | 2019 | 202 | |
| 4 | 2010 | 179 | |
| 5 | 2016 | 136 | |
| 6 | 2010 | 128 | |
| 7 | 2017 | 126 | |
| 8 | 2007 | 103 | |
| 9 | 2012 | 96 | |
| 10 | 2005 | 91 | |
| 11 | 2013 | 83 | |
| 12 | 2015 | 60 | |
| 13 | 2014 | 58 | |
| 14 | 2014 | 57 | |
| 15 | 2012 | 56 | |
| 16 | 2022 | 46 | |
| 17 | 2008 | 44 | |
| 18 | 2016 | 43 | |
| 19 | 2011 | 43 | |
| 20 | 2009 | 42 |
About Daniel Seeliger
Daniel Seeliger is a scholar working on Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Computational Drug Discovery Methods (14 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Enzyme Structure and Function (9 papers), Protein purification and stability (6 papers), Receptor Mechanisms and Signaling (5 papers), RNA and protein synthesis mechanisms (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (821 citations), Molecular Biology (2.6k citations), Pharmacology (191 citations), Radiology, Nuclear Medicine and Imaging (330 citations) and Toxicology (49 citations). Daniel Seeliger has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bert L. de Groot, Vytautas Gapsys, Servaas Michielssens, Christofer S. Tautermann, Eckhard Spohr, Ch. Hartnig, Herman van Vlijmen, Laura Pérez‐Benito, Gary Tresadern and Matteo Aldeghi. Their work appears in journals such as Biophysical Journal, Structure, Angewandte Chemie International Edition, mAbs and Journal of Medicinal Chemistry.
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.