Eva Smorodina
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Protein purification and stability
- Glycosylation and Glycoproteins Research
Papers in
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- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 4
- Protein purification and stability 3
- vaccines and immunoinformatics approaches 3
- Machine Learning in Bioinformatics 2
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Shuguang Zhang (9 shared papers)Rui Qing (6 shared papers)David Jin (4 shared papers)Arthur O. Zalevsky (1 shared paper)Shilei Hao (1 shared paper)Victor Greiff (7 shared papers)Fei Tao (5 shared papers)Rahmad Akbar (4 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Cancers (1 paper)mAbs (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- NorwayUnited StatesChina
In The Last Decade
Eva Smorodina
17 papers receiving 357 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 105
- Molecular Biology 257
- Biotechnology 29
- Biomaterials 30
- Computational Theory and Mathematics 30
Countries citing papers authored by Eva Smorodina
This map shows the geographic impact of Eva Smorodina'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 Eva Smorodina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Smorodina more than expected).
Fields of papers citing papers by Eva Smorodina
This network shows the impact of papers produced by Eva Smorodina. 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 Eva Smorodina. The network helps show where Eva Smorodina may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Smorodina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 154 | |
| 2 | 2022 | 73 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 1 |
About Eva Smorodina
Eva Smorodina is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Spectroscopy and Materials Chemistry, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (4 papers), Protein purification and stability (3 papers), Enzyme Structure and Function (3 papers), vaccines and immunoinformatics approaches (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (105 citations), Molecular Biology (257 citations), Biotechnology (29 citations), Biomaterials (30 citations) and Computational Theory and Mathematics (30 citations). Eva Smorodina has collaborated with scholars based in Norway, United States and China. Frequent co-authors include Shuguang Zhang, Rui Qing, David Jin, Arthur O. Zalevsky, Shilei Hao, Victor Greiff, Fei Tao, Rahmad Akbar, Philippe A. Robert and Puneet Rawat. Their work appears in journals such as Scientific Reports, PLoS ONE, Cancers, mAbs and Frontiers in Immunology.
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.