Serap Beldar
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
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- Protein Degradation and Inhibitors 1
- Genomics and Chromatin Dynamics 1
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- interferon and immune responses 1
- Atherosclerosis and Cardiovascular Diseases 1
- Co-authors
- Yanjun Li (2 shared papers)Levon Halabelian (1 shared paper)Sriram Subramaniam (1 shared paper)Ashley Hutchinson (1 shared paper)Daniel Kwon (1 shared paper)C.H. Arrowsmith (1 shared paper)Karoline Leopold (1 shared paper)François Bénard (1 shared paper)
- Journals
- Blood (1 paper)Communications Biology (1 paper)Nature Chemical Biology (1 paper)Advanced Science (1 paper)Journal of General Virology (1 paper)
- Partner nations
- CanadaSingaporeUnited States
In The Last Decade
Serap Beldar
6 papers receiving 190 citations
Serap Beldar's Hit Papers
Peers
Comparison fields: 5 of 60
- Infectious Diseases 93
- Computational Theory and Mathematics 31
- Immunology 25
- Molecular Biology 74
- Animal Science and Zoology 9
Countries citing papers authored by Serap Beldar
This map shows the geographic impact of Serap Beldar'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 Serap Beldar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serap Beldar more than expected).
Fields of papers citing papers by Serap Beldar
This network shows the impact of papers produced by Serap Beldar. 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 Serap Beldar. The network helps show where Serap Beldar may publish in the future.
Co-authors
The 25 scholars most cited alongside Serap Beldar, 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 | Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation Hit paper breakdown → | 2022 | 134 |
| 2 | 2013 | 21 | |
| 3 | 2020 | 16 | |
| 4 | 2020 | 12 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 1 | |
| 7 | 2023 | 0 |
About Serap Beldar
Serap Beldar is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Pharmacology, having authored 7 papers that have together received 192 indexed citations. Recurring topics across this work include interferon and immune responses (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Protein Degradation and Inhibitors (1 paper), Pain Mechanisms and Treatments (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Infectious Diseases (93 citations), Computational Theory and Mathematics (31 citations), Immunology (25 citations), Molecular Biology (74 citations) and Animal Science and Zoology (9 citations). Serap Beldar has collaborated with scholars based in Canada, Singapore and United States. Frequent co-authors include Yanjun Li, Levon Halabelian, Sriram Subramaniam, Ashley Hutchinson, Daniel Kwon, C.H. Arrowsmith, Karoline Leopold, François Bénard, Almagul Seitova and Dhiraj Mannar. Their work appears in journals such as Blood, Communications Biology, Nature Chemical Biology, Advanced Science and Journal of General Virology.
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.