Michael Skalski

27 total papers · 442 total citations
7 papers, 365 citations indexed

About

Michael Skalski is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Michael Skalski has authored 7 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 3 papers in Immunology and Allergy. Recurrent topics in Michael Skalski's work include Cellular transport and secretion (6 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Michael Skalski is often cited by papers focused on Cellular transport and secretion (6 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Michael Skalski collaborates with scholars based in Canada, United States and United Kingdom. Michael Skalski's co-authors include Marc G. Coppolino, Michelle J. Kean, Karla C. Williams, David A. Foster, Sarah J. Parsons, Roger Abounader, Jungeun Kim, Ying Zhang, Benjamin Kefas and David Schiff and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Michael Skalski

7 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Skalski 231 173 129 80 43 7 365
Valentina Marchesin 193 0.8× 168 1.0× 124 1.0× 69 0.9× 84 2.0× 7 394
Kristi Eidsvoog 279 1.2× 81 0.5× 124 1.0× 38 0.5× 61 1.4× 7 393
Michèle Moes 230 1.0× 100 0.6× 148 1.1× 98 1.2× 67 1.6× 7 378
Simon J. Foulcer 167 0.7× 177 1.0× 130 1.0× 72 0.9× 78 1.8× 7 386
Romain Salza 200 0.9× 77 0.4× 91 0.7× 72 0.9× 57 1.3× 8 360
Radim Moravec 164 0.7× 134 0.8× 100 0.8× 79 1.0× 62 1.4× 7 343
Elena Okina 225 1.0× 106 0.6× 119 0.9× 37 0.5× 41 1.0× 9 355
Laurence Cailleteau 208 0.9× 79 0.5× 54 0.4× 59 0.7× 48 1.1× 11 340
Simona Wagner 191 0.8× 119 0.7× 63 0.5× 47 0.6× 69 1.6× 10 350
Erika Fluri 220 1.0× 158 0.9× 38 0.3× 109 1.4× 37 0.9× 6 382

Countries citing papers authored by Michael Skalski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Skalski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Skalski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Skalski. A scholar is included among the top collaborators of Michael Skalski 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 Michael Skalski. Michael Skalski 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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