Simone Fulle
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
Papers in
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- Computational Drug Discovery Methods 12
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- Protein Structure and Dynamics 11
- RNA and protein synthesis mechanisms 9
- DNA and Nucleic Acid Chemistry 3
- Co-authors
- Sabrina Jaeger-Honz (2 shared papers)Holger Gohlke (10 shared papers)Sameh Eid (6 shared papers)Friedrich Rippmann (5 shared papers)Andrea Volkamer (3 shared papers)Benjamin Merget (5 shared papers)Paul W. Finn (7 shared papers)Michael J. Blackman (4 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Journal of Medicinal Chemistry (3 papers)International Journal for Parasitology (1 paper)Biophysical Journal (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited KingdomLatvia
In The Last Decade
Simone Fulle
29 papers receiving 1.6k citations
Simone Fulle's Hit Papers
Peers
Comparison fields: 5 of 121
- Computational Theory and Mathematics 656
- Molecular Biology 924
- Materials Chemistry 355
- Pharmacology 111
- Biophysics 31
Countries citing papers authored by Simone Fulle
This map shows the geographic impact of Simone Fulle'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 Simone Fulle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Fulle more than expected).
Fields of papers citing papers by Simone Fulle
This network shows the impact of papers produced by Simone Fulle. 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 Simone Fulle. The network helps show where Simone Fulle may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Fulle, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition Hit paper breakdown → | 2017 | 551 |
| 2 | 2017 | 235 | |
| 3 | 2016 | 94 | |
| 4 | 2021 | 91 | |
| 5 | 2009 | 85 | |
| 6 | 2017 | 61 | |
| 7 | 2009 | 60 | |
| 8 | 2012 | 47 | |
| 9 | 2016 | 39 | |
| 10 | 2008 | 37 | |
| 11 | 2014 | 30 | |
| 12 | 2013 | 28 | |
| 13 | 2014 | 28 | |
| 14 | 2017 | 27 | |
| 15 | 2010 | 25 | |
| 16 | 2013 | 25 | |
| 17 | 2009 | 23 | |
| 18 | 2017 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2016 | 14 |
About Simone Fulle
Simone Fulle is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (5 papers), Malaria Research and Control (3 papers), Bacterial Genetics and Biotechnology (3 papers), Machine Learning in Materials Science (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Computational Theory and Mathematics (656 citations), Molecular Biology (924 citations), Materials Chemistry (355 citations), Pharmacology (111 citations) and Biophysics (31 citations). Simone Fulle has collaborated with scholars based in Germany, United Kingdom and Latvia. Frequent co-authors include Sabrina Jaeger-Honz, Holger Gohlke, Sameh Eid, Friedrich Rippmann, Andrea Volkamer, Benjamin Merget, Paul W. Finn, Michael J. Blackman, Jean-Paul Ebejer and Garrett M. Morris. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, International Journal for Parasitology, Biophysical Journal and Scientific Reports.
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.