Jakub Chrustowicz
Impact in
- Virology top 5%
- HIV Research and Treatment
- Structural Biology top 10%
Papers in
-
- Ubiquitin and proteasome pathways 10
- Protein Degradation and Inhibitors 5
- RNA modifications and cancer 3
- Biochemical and Molecular Research 2
- Oncology 6
- Peptidase Inhibition and Analysis 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Dawafuti Sherpa (10 shared papers)Brenda A. Schulman (10 shared papers)Michael D. Purdy (2 shared papers)Mark Yeager (2 shared papers)Elżbieta Łodyga-Chruścińska (1 shared paper)Owen Pornillos (1 shared paper)Jonathan M. Wagner (1 shared paper)Barbie K. Ganser‐Pornillos (1 shared paper)
- Journals
- Molecular Cell (5 papers)eLife (2 papers)Biochemical Society Transactions (1 paper)Nature Communications (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Jakub Chrustowicz
13 papers receiving 506 citations
Peers
Comparison fields: 5 of 78
- Virology 115
- Structural Biology 14
- Molecular Biology 330
- Oncology 131
- Infectious Diseases 79
Countries citing papers authored by Jakub Chrustowicz
This map shows the geographic impact of Jakub Chrustowicz'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 Jakub Chrustowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Chrustowicz more than expected).
Fields of papers citing papers by Jakub Chrustowicz
This network shows the impact of papers produced by Jakub Chrustowicz. 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 Jakub Chrustowicz. The network helps show where Jakub Chrustowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jakub Chrustowicz, 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 | 2016 | 106 | |
| 2 | 2014 | 71 | |
| 3 | 2018 | 66 | |
| 4 | 2022 | 65 | |
| 5 | 2019 | 60 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2017 | 1 | |
| 14 | 2025 | 0 |
About Jakub Chrustowicz
Jakub Chrustowicz is a scholar working on Molecular Biology, Oncology, Virology, Infectious Diseases and Pollution, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (4 papers), RNA modifications and cancer (3 papers), HIV Research and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Biochemical and Molecular Research (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Virology (115 citations), Structural Biology (14 citations), Molecular Biology (330 citations), Oncology (131 citations) and Infectious Diseases (79 citations). Jakub Chrustowicz has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Dawafuti Sherpa, Brenda A. Schulman, Michael D. Purdy, Mark Yeager, Elżbieta Łodyga-Chruścińska, Owen Pornillos, Jonathan M. Wagner, Barbie K. Ganser‐Pornillos, Kaneil K. Zadrozny and Matthias Mann. Their work appears in journals such as Molecular Cell, eLife, Biochemical Society Transactions, Nature Communications and Journal of Molecular Biology.
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.