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
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- Computational Drug Discovery Methods 6
- Co-authors
- Jens Gläser (5 shared papers)Jeremy C. Smith (4 shared papers)Gerd‐Uwe Flechsig (4 shared papers)Óscar Hernández (4 shared papers)David Rogers (3 shared papers)Katarzyna Biała (3 shared papers)Mathialakan Thavappiragasam (4 shared papers)Josh V. Vermaas (3 shared papers)
- Journals
- Electrochimica Acta (2 papers)Scientific Data (2 papers)ACS Applied Materials & Interfaces (2 papers)Computing in Science & Engineering (1 paper)Crystal Growth & Design (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Ada Sedova
26 papers receiving 204 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 67
- Hardware and Architecture 15
- Electrochemistry 13
- Molecular Biology 102
- 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 | 27 | |
| 2 | 2020 | 22 | |
| 3 | 2022 | 20 | |
| 4 | 2015 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 4 | |
| 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 205 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Parallel Computing and Optimization Techniques (3 papers), Electrochemical Analysis and Applications (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (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 (102 citations) and Structural Biology (2 citations). Ada Sedova has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jens Gläser, Jeremy C. Smith, Gerd‐Uwe Flechsig, Óscar Hernández, David Rogers, Katarzyna Biała, Mathialakan Thavappiragasam, Josh V. Vermaas, Matthew Baker and Swen Boehm. Their work appears in journals such as Electrochimica Acta, Scientific Data, ACS Applied Materials & Interfaces, Computing in Science & Engineering and Crystal Growth & Design.
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.