Sara Szymkuć
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Organic Chemistry top 10%
- Co-authors
- Bartosz A. GrzybowskiKarol MolgaPiotr DittwaldEwa GajewskaTomasz KlucznikMichał StartekMichał D. BajczykWiktor Beker
- Topics
- Computational Drug Discovery Methods (23 papers)Machine Learning in Materials Science (16 papers)Chemical Synthesis and Analysis (9 papers)
- Partner nations
- PolandSouth KoreaUnited States
In The Last Decade
Sara Szymkuć
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Materials Chemistry 891
- Computational Theory and Mathematics 853
- Molecular Biology 703
- Biomedical Engineering 338
- Organic Chemistry 196
Countries citing papers authored by Sara Szymkuć
This map shows the geographic impact of Sara Szymkuć'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 Sara Szymkuć with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Szymkuć more than expected).
Fields of papers citing papers by Sara Szymkuć
This network shows the impact of papers produced by Sara Szymkuć. 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 Sara Szymkuć. The network helps show where Sara Szymkuć may publish in the future.
Co-authorship network of co-authors of Sara Szymkuć
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Szymkuć. A scholar is included among the top collaborators of Sara Szymkuć 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 Sara Szymkuć. Sara Szymkuć 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 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 58 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 187 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 69 | |
| 17 | 21 | |
| 18 | 110 | |
| 19 | Computer‐Assisted Synthetic Planning: The End of the Beginningbreakdown → | 406 |
| 20 | 19 |
About Sara Szymkuć
Sara Szymkuć is a scholar working on Computational Theory and Mathematics, Pharmacology and Materials Chemistry, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (16 papers) and Chemical Synthesis and Analysis (9 papers). The work is most often cited by research in Computational Theory and Mathematics (853 citations), Materials Chemistry (891 citations) and Catalysis (82 citations). Sara Szymkuć has collaborated with scholars based in Poland, South Korea and United States. Frequent co-authors include Bartosz A. Grzybowski, Karol Molga, Piotr Dittwald, Ewa Gajewska, Tomasz Klucznik, Michał Startek, Michał D. Bajczyk, Wiktor Beker, Barbara Mikulak-Klucznik and Agnieszka Wołos. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.