Anton E. Ussi
Impact in
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- Computational Drug Discovery Methods
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- Statistical Methods in Clinical Trials
Papers in
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- Health and Medical Research Impacts 6
- Co-authors
- Giovanni Migliaccio (4 shared papers)Florence Biétrix (6 shared papers)Marián Hajdúch (5 shared papers)Antoni L. Andreu (6 shared papers)Alain J. van Gool (3 shared papers)Andreas Scherer (3 shared papers)Jaap Heringa (1 shared paper)Kurt Zatloukal (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (4 papers)Nature (1 paper)European Journal of Public Health (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)F1000Research (1 paper)
- Partner nations
- NetherlandsFinlandUnited Kingdom
In The Last Decade
Anton E. Ussi
22 papers receiving 275 citations
Anton E. Ussi's Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 32
- Statistics and Probability 15
- Biophysics 10
- Physiology 33
- Health Informatics 2
Countries citing papers authored by Anton E. Ussi
This map shows the geographic impact of Anton E. Ussi'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 Anton E. Ussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton E. Ussi more than expected).
Fields of papers citing papers by Anton E. Ussi
This network shows the impact of papers produced by Anton E. Ussi. 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 Anton E. Ussi. The network helps show where Anton E. Ussi may publish in the future.
Co-authors
The 25 scholars most cited alongside Anton E. Ussi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | Computational drug repurposing: approaches, evaluation of in silico resources and case studies Hit paper breakdown → | 2025 | 40 |
| 3 | 2023 | 30 | |
| 4 | 2017 | 29 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2016 | 20 | |
| 8 | 2022 | 17 | |
| 9 | EATRIS, a European initiative to boost translational biomedical research. | 2013 | 10 |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2019 | 1 |
About Anton E. Ussi
Anton E. Ussi is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Oncology, Computational Theory and Mathematics and Economics and Econometrics, having authored 24 papers that have together received 284 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (6 papers), CAR-T cell therapy research (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), CRISPR and Genetic Engineering (3 papers), Biomedical and Engineering Education (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Biosimilars and Bioanalytical Methods (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (32 citations), Statistics and Probability (15 citations), Biophysics (10 citations), Physiology (33 citations) and Health Informatics (2 citations). Anton E. Ussi has collaborated with scholars based in Netherlands, Finland and United Kingdom. Frequent co-authors include Giovanni Migliaccio, Florence Biétrix, Marián Hajdúch, Antoni L. Andreu, Alain J. van Gool, Andreas Scherer, Jaap Heringa, Kurt Zatloukal, Andy Smith and Barend Mons. Their work appears in journals such as Nature Reviews Drug Discovery, Nature, European Journal of Public Health, Frontiers in Bioengineering and Biotechnology and F1000Research.
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.