Ada Sedova
Impact in
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- Computational Drug Discovery Methods
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- Parallel Computing and Optimization Techniques
Papers in
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- Protein Structure and Dynamics 6
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 3
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Jens Gläser (5 shared papers)Gerd‐Uwe Flechsig (4 shared papers)Jeremy C. Smith (4 shared papers)Josh V. Vermaas (3 shared papers)Matthew Baker (3 shared papers)Swen Boehm (3 shared papers)David Rogers (3 shared papers)Óscar Hernández (4 shared papers)
- Journals
- Electrochimica Acta (2 papers)ACS Applied Materials & Interfaces (2 papers)Scientific Data (2 papers)Bioinformatics (1 paper)Electroanalysis (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ada Sedova
24 papers receiving 193 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 67
- Hardware and Architecture 15
- Electrochemistry 13
- Molecular Biology 105
- Structural Biology 2
Countries citing papers authored by Ada Sedova
This map shows the geographic impact of Ada Sedova'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 Ada Sedova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ada Sedova more than expected).
Fields of papers citing papers by Ada Sedova
This network shows the impact of papers produced by Ada Sedova. 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 Ada Sedova. The network helps show where Ada Sedova may publish in the future.
Co-authors
The 25 scholars most cited alongside Ada Sedova, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2020 | 22 | |
| 3 | 2022 | 18 | |
| 4 | 2015 | 16 | |
| 5 | 2023 | 14 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2016 | 3 |
About Ada Sedova
Ada Sedova is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Biomedical Engineering and Computer Networks and Communications, having authored 26 papers that have together received 196 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Machine Learning in Materials Science (4 papers), Electrochemical Analysis and Applications (3 papers), Parallel Computing and Optimization Techniques (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (67 citations), Hardware and Architecture (15 citations), Electrochemistry (13 citations), Molecular Biology (105 citations) and Structural Biology (2 citations). Ada Sedova has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jens Gläser, Gerd‐Uwe Flechsig, Jeremy C. Smith, Josh V. Vermaas, Matthew Baker, Swen Boehm, David Rogers, Óscar Hernández, Nilesh K. Banavali and Arnold Tharrington. Their work appears in journals such as Electrochimica Acta, ACS Applied Materials & Interfaces, Scientific Data, Bioinformatics and Electroanalysis.
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.