Jacob Verburgt
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- SARS-CoV-2 and COVID-19 Research 2
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- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 4
- vaccines and immunoinformatics approaches 1
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- Computational Drug Discovery Methods 3
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- Enzyme Structure and Function 4
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- Click Chemistry and Applications 1
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- Bacteriophages and microbial interactions 1
- Co-authors
- Daisuke KiharaZicong ZhangGenki TerashiNagib AhsanWoong‐Hee ShinCharles ChristofferR. Shyama Prasad RaoLuca Fornelli
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Protein Science (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Jacob Verburgt
10 papers receiving 61 citations
Peers
Comparison fields: 5 of 32
- Infectious Diseases 15
- Molecular Biology 40
- Computational Theory and Mathematics 7
- Biological Psychiatry 1
- Clinical Biochemistry 2
Countries citing papers authored by Jacob Verburgt
This map shows the geographic impact of Jacob Verburgt'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 Jacob Verburgt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Verburgt more than expected).
Fields of papers citing papers by Jacob Verburgt
This network shows the impact of papers produced by Jacob Verburgt. 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 Jacob Verburgt. The network helps show where Jacob Verburgt may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jacob Verburgt, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 14 |
About Jacob Verburgt
Jacob Verburgt is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 10 papers that have together received 61 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), vaccines and immunoinformatics approaches (1 paper), Click Chemistry and Applications (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (15 citations), Molecular Biology (40 citations) and Computational Theory and Mathematics (7 citations). Jacob Verburgt has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Daisuke Kihara, Zicong Zhang, Genki Terashi, Nagib Ahsan, Woong‐Hee Shin, Charles Christoffer, R. Shyama Prasad Rao, Luca Fornelli, Tunde Aderinwale and Chunhui Xu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Science and PROTEOMICS.
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.