Marcin Możejko
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
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- Digital Imaging for Blood Diseases 1
- Data Visualization and Analytics 1
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- Biochemical and Structural Characterization 1
- vaccines and immunoinformatics approaches 1
- Co-authors
- Ewa Szczurek (2 shared papers)Alicja Rączkowska (1 shared paper)Wojciech Kamysz (1 shared paper)Karol Sikora (1 shared paper)Damian Neubauer (1 shared paper)Marta Bauer (1 shared paper)Jacek Sroka (1 shared paper)Piotr Setny (1 shared paper)
- Journals
- Nature Communications (1 paper)Scientific Reports (1 paper)Jagiellonian University Repository (Jagiellonian University) (2 papers)
- Partner nations
- PolandUnited States
In The Last Decade
Marcin Możejko
3 papers receiving 194 citations
Marcin Możejko's Hit Papers
Peers
Comparison fields: 5 of 56
- Microbiology 84
- Health Informatics 3
- Artificial Intelligence 63
- Biophysics 11
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Marcin Możejko
This map shows the geographic impact of Marcin Możejko'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 Marcin Możejko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Możejko more than expected).
Fields of papers citing papers by Marcin Możejko
This network shows the impact of papers produced by Marcin Możejko. 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 Marcin Możejko. The network helps show where Marcin Możejko may publish in the future.
Co-authors
The 10 scholars most cited alongside Marcin Możejko, 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 | Discovering highly potent antimicrobial peptides with deep generative model HydrAMP Hit paper breakdown → | 2023 | 115 |
| 2 | 2019 | 80 | |
| 3 | 2019 | 2 | |
| 4 | 2018 | 0 |
About Marcin Możejko
Marcin Możejko is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Oncology, Signal Processing and Artificial Intelligence, having authored 4 papers that have together received 197 indexed citations. Recurring topics across this work include Data Management and Algorithms (1 paper), Digital Imaging for Blood Diseases (1 paper), Biochemical and Structural Characterization (1 paper), vaccines and immunoinformatics approaches (1 paper), Data Visualization and Analytics (1 paper), Traffic Prediction and Management Techniques (1 paper), Colorectal Cancer Screening and Detection (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Microbiology (84 citations), Health Informatics (3 citations), Artificial Intelligence (63 citations), Biophysics (11 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Marcin Możejko has collaborated with scholars based in Poland and United States. Frequent co-authors include Ewa Szczurek, Alicja Rączkowska, Wojciech Kamysz, Karol Sikora, Damian Neubauer, Marta Bauer, Jacek Sroka, Piotr Setny, Paweł Góra and Paweł Góra. Their work appears in journals such as Nature Communications, Scientific Reports and Jagiellonian University Repository (Jagiellonian University).
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.