Marcin Możejko

435 citations
4 papers · 197 · 1 hit paper · h-index 3

Impact in

Papers in

Marcin Możejko

3 papers receiving 194 citations

Marcin Możejko's Hit Papers

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP 2023 · 115 citations
1150+1+2Years since publication255075100

Peers

Marcin Możejko
Comparison fields: 5 of 56
  • Microbiology 84
  • Health Informatics 3
  • Artificial Intelligence 63
  • Biophysics 11
  • Radiology, Nuclear Medicine and Imaging 35
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Jianxing Hu China
Shengcong Chen China
Wenjia He China
Qinhu Zhang China
Xiaoping Min China
Yihe Pang China
Runyu Jing China
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Marcin Możejko relative to Jianxing Hu China Jianxing Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcin Możejko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marcin Możejko Line = papers co-authored together Marcin Możejko links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Hit paper breakdown →
2023115
2 201980
3 20192
4 20180

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.

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