Michał Krassowski

27 total papers · 1.9k total citations
5 papers, 292 citations indexed

About

Michał Krassowski is a scholar working on Molecular Biology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michał Krassowski has authored 5 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Michał Krassowski's work include Bioinformatics and Genomic Networks (4 papers), Prenatal Substance Exposure Effects (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Michał Krassowski is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Prenatal Substance Exposure Effects (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Michał Krassowski collaborates with scholars based in United Kingdom, Canada and United States. Michał Krassowski's co-authors include S. Sahu, Biswapriya B. Misra, Vivek Das, Jüri Reimand, Amélie Fradet‐Turcotte, B. F. Francis Ouellette, Marta Paczkowska, Tina Huang, Mamatha Bhat and Miles W. Mee and has published in prestigious journals such as Nucleic Acids Research, Molecular Systems Biology and Frontiers in Genetics.

In The Last Decade

Michał Krassowski

5 papers receiving 287 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michał Krassowski 220 45 34 30 20 5 292
Jonathan Mélius 217 1.0× 38 0.8× 47 1.4× 14 0.5× 27 1.4× 3 317
Fiona Broackes-Carter 172 0.8× 38 0.8× 16 0.5× 15 0.5× 24 1.2× 8 266
T. A. Eyre 227 1.0× 55 1.2× 34 1.0× 8 0.3× 15 0.8× 4 279
Alain Meil 226 1.0× 26 0.6× 30 0.9× 15 0.5× 17 0.8× 4 269
Erik Sjölund 251 1.1× 51 1.1× 16 0.5× 48 1.6× 13 0.7× 6 326
Sheng‐An Lee 270 1.2× 22 0.5× 21 0.6× 29 1.0× 59 3.0× 10 318
Rigbe Weldatsadik 203 0.9× 24 0.5× 16 0.5× 36 1.2× 4 0.2× 5 272
Hema Bye‐A‐Jee 250 1.1× 30 0.7× 15 0.4× 21 0.7× 17 0.8× 7 285
Samantha Ferries 231 1.1× 19 0.4× 10 0.3× 65 2.2× 22 1.1× 8 309
Christian Leung 111 0.5× 27 0.6× 16 0.5× 11 0.4× 11 0.6× 7 185

Countries citing papers authored by Michał Krassowski

Since Specialization
Citations

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

Fields of papers citing papers by Michał Krassowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Krassowski

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

All Works

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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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