Ewa I. Chudyk
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Molecular Medicine top 5%
- Pharmacology top 10%
- Materials Chemistry
- Co-authors
- Adrian J. MulhollandMike J. BodkinMatteo AldeghiMarc W. van der KampAlexander HeifetzJames SpencerDmitri G. FedorovPhilip C. Biggin
- Topics
- Receptor Mechanisms and Signaling (4 papers)Antibiotics Pharmacokinetics and Efficacy (4 papers)Antibiotic Resistance in Bacteria (4 papers)
- Cited by
- Molecular MedicineApplied Microbiology and BiotechnologyComputational Theory and Mathematics
- Journals
- Journal of the American Chemical SocietyThe Journal of Physical Chemistry BChemical Communications
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Ewa I. Chudyk
13 papers receiving 401 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 242
- Computational Theory and Mathematics 117
- Molecular Medicine 108
- Pharmacology 97
- Materials Chemistry 54
Countries citing papers authored by Ewa I. Chudyk
This map shows the geographic impact of Ewa I. Chudyk'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 Ewa I. Chudyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa I. Chudyk more than expected).
Fields of papers citing papers by Ewa I. Chudyk
This network shows the impact of papers produced by Ewa I. Chudyk. 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 Ewa I. Chudyk. The network helps show where Ewa I. Chudyk may publish in the future.
Co-authorship network of co-authors of Ewa I. Chudyk
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa I. Chudyk. A scholar is included among the top collaborators of Ewa I. Chudyk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ewa I. Chudyk. Ewa I. Chudyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 24 | |
| 6 | 64 | |
| 7 | 12 | |
| 8 | 90 | |
| 9 | 38 | |
| 10 | 11 | |
| 11 | 75 | |
| 12 | 20 | |
| 13 | 19 |
About Ewa I. Chudyk
Ewa I. Chudyk is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 13 papers that have together received 405 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Medicine (108 citations), Applied Microbiology and Biotechnology (15 citations) and Computational Theory and Mathematics (117 citations). Ewa I. Chudyk has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Adrian J. Mulholland, Mike J. Bodkin, Matteo Aldeghi, Marc W. van der Kamp, Alexander Heifetz, James Spencer, Dmitri G. Fedorov, Philip C. Biggin, António Correia and Fátima Fonseca. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Chemical Communications.
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.