Christoph Gorgulla
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Organic Chemistry
- Infectious Diseases
- Co-authors
- Haribabu ArthanariGerhard WagnerKonstantin FackeldeyZifu WangPatrick D. FischerDavid A. ScottKrishna Mohan DasDmytro S. Radchenko
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (2 papers)Machine Learning in Materials Science (2 papers)
- Partner nations
- United StatesGermanyUkraine
In The Last Decade
Christoph Gorgulla
15 papers receiving 683 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 481
- Computational Theory and Mathematics 332
- Materials Chemistry 112
- Organic Chemistry 73
- Infectious Diseases 53
Countries citing papers authored by Christoph Gorgulla
This map shows the geographic impact of Christoph Gorgulla'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 Christoph Gorgulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Gorgulla more than expected).
Fields of papers citing papers by Christoph Gorgulla
This network shows the impact of papers produced by Christoph Gorgulla. 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 Christoph Gorgulla. The network helps show where Christoph Gorgulla may publish in the future.
Co-authorship network of co-authors of Christoph Gorgulla
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Gorgulla. A scholar is included among the top collaborators of Christoph Gorgulla 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 Christoph Gorgulla. Christoph Gorgulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 35 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 48 | |
| 10 | 25 | |
| 11 | 83 | |
| 12 | 23 | |
| 13 | 20 | |
| 14 | An open-source drug discovery platform enables ultra-large virtual screensbreakdown → | 395 |
| 15 | 7 | |
| 16 | 20 |
About Christoph Gorgulla
Christoph Gorgulla is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Medicine, having authored 16 papers that have together received 690 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (332 citations), Molecular Biology (481 citations) and Drug Discovery (1 citation). Christoph Gorgulla has collaborated with scholars based in United States, Germany and Ukraine. Frequent co-authors include Haribabu Arthanari, Gerhard Wagner, Konstantin Fackeldey, Zifu Wang, Patrick D. Fischer, David A. Scott, Krishna Mohan Das, Dmytro S. Radchenko, Yurii S. Moroz and Moritz Hoffmann. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.