Samuel Sledzieski

10 papers and 195 indexed citations i.

About

Samuel Sledzieski is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Samuel Sledzieski has authored 10 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Immunology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Samuel Sledzieski’s work include Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). Samuel Sledzieski is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). Samuel Sledzieski collaborates with scholars based in United States, South Korea and France. Samuel Sledzieski's co-authors include Bonnie Berger, Rohit Singh, Lenore Cowen, Bryan D. Bryson, Meghana Kshirsagar, Rahul Dodhia, Minkyung Baek, Mukul S. Bansal, Juan Lavista Ferres and Ion Măndoiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Samuel Sledzieski i

Fields of papers citing papers by Samuel Sledzieski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Sledzieski. 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 Samuel Sledzieski. The network helps show where Samuel Sledzieski may publish in the future.

Countries citing papers authored by Samuel Sledzieski

Since Specialization
Citations

This map shows the geographic impact of Samuel Sledzieski'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 Samuel Sledzieski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Sledzieski more than expected).

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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2025