Marcin Możejko

404 total citations · 1 hit paper
4 papers, 179 citations indexed

About

Marcin Możejko is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Oncology. According to data from OpenAlex, Marcin Możejko has authored 4 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Marcin Możejko's work include vaccines and immunoinformatics approaches (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Antimicrobial Peptides and Activities (1 paper). Marcin Możejko is often cited by papers focused on vaccines and immunoinformatics approaches (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Antimicrobial Peptides and Activities (1 paper). Marcin Możejko collaborates with scholars based in Poland and United States. Marcin Możejko's co-authors include Ewa Szczurek, Alicja Rączkowska, Piotr Setny, Jacek Sroka, Damian Neubauer, Marta Bauer, Wojciech Kamysz, Karol Sikora, Paweł Góra and Paweł Góra and has published in prestigious journals such as Nature Communications, Scientific Reports and Homo Politicus (Academy of Humanities and Economics in Lodz).

In The Last Decade

Marcin Możejko

3 papers receiving 175 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

2023 98 citations Marcin Możejko, Marta Bauer et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marcin Możejko Poland	3	75	70	66	40	31	4	179
Fang Ge China	14	404 5.4×	69 1.0×	23 0.3×	17 0.4×	11 0.4×	38	474
Wenjia He China	8	271 3.6×	47 0.7×	35 0.5×	8 0.2×	11 0.4×	14	320
Shengcong Chen China	6	30 0.4×	18 0.3×	70 1.1×	52 1.3×	151 4.9×	7	239
Ali Ghulam Pakistan	10	264 3.5×	34 0.5×	32 0.5×	11 0.3×	20 0.6×	31	380
Qinhu Zhang China	11	488 6.5×	11 0.2×	39 0.6×	16 0.4×	18 0.6×	42	582
Xiaoping Min China	10	218 2.9×	10 0.1×	28 0.4×	12 0.3×	26 0.8×	34	336
Yihe Pang China	8	355 4.7×	29 0.4×	27 0.4×	8 0.2×	10 0.3×	11	401
Zhijun Liao China	12	449 6.0×	26 0.4×	44 0.7×	15 0.4×	8 0.3×	35	556

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-authorship network of co-authors of Marcin Możejko

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Możejko. A scholar is included among the top collaborators of Marcin Możejko 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 Marcin Możejko. Marcin Możejko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Możejko, Marcin, Marta Bauer, Damian Neubauer, et al.. (2023). Discovering highly potent antimicrobial peptides with deep generative model HydrAMP. Nature Communications. 14(1). 1453–1453. 98 indexed citations breakdown →

2.

Rączkowska, Alicja, et al.. (2019). ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning. Scientific Reports. 9(1). 14347–14347. 79 indexed citations

3.

Góra, Paweł, et al.. (2019). Solving Traffic Signal Setting Problem Using Machine Learning. Homo Politicus (Academy of Humanities and Economics in Lodz). 1–10. 2 indexed citations

4.

Możejko, Marcin, et al.. (2018). Traffic Signal Settings Optimization Using Gradient Descent. Homo Politicus (Academy of Humanities and Economics in Lodz). 27. 19–30.

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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