Jakub W. Celler

8 total papers · 545 total citations
8 papers, 472 citations indexed

About

Jakub W. Celler is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jakub W. Celler has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in Jakub W. Celler's work include Glycosylation and Glycoproteins Research (2 papers), Protein Tyrosine Phosphatases (2 papers) and T-cell and B-cell Immunology (2 papers). Jakub W. Celler is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Protein Tyrosine Phosphatases (2 papers) and T-cell and B-cell Immunology (2 papers). Jakub W. Celler collaborates with scholars based in Canada, Germany and Russia. Jakub W. Celler's co-authors include Ian P. Salt, Simon A. Hawley, Angela Woods, David Carling, Alan R. Prescott, D. Grahame Hardie, Lisa K. Hicks, Yo‐Chen Chang, Alison Connor and G E Wu and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical Journal.

In The Last Decade

Jakub W. Celler

8 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Jakub W. Celler 406 196 96 70 53 8 472
Emilia Zmuda‐Trzebiatowska 302 0.7× 108 0.6× 119 1.2× 37 0.5× 70 1.3× 9 453
Frances Moore 371 0.9× 83 0.4× 70 0.7× 29 0.4× 25 0.5× 11 465
Aaron Gould 314 0.8× 289 1.5× 58 0.6× 72 1.0× 89 1.7× 7 533
Wan-Ru Lee 276 0.7× 186 0.9× 40 0.4× 47 0.7× 72 1.4× 12 511
Kazuo Terai 301 0.7× 119 0.6× 58 0.6× 30 0.4× 19 0.4× 11 524
Priyanka Tibarewal 422 1.0× 93 0.5× 50 0.5× 31 0.4× 22 0.4× 11 484
Angela M. Whetzel 296 0.7× 104 0.5× 37 0.4× 108 1.5× 25 0.5× 7 432
Mohammed M. Al Gadban 417 1.0× 68 0.3× 123 1.3× 77 1.1× 30 0.6× 8 529
Raj Kishore 241 0.6× 89 0.5× 73 0.8× 160 2.3× 23 0.4× 11 515
Olga Zhelyabovska 327 0.8× 92 0.5× 108 1.1× 78 1.1× 32 0.6× 12 540

Countries citing papers authored by Jakub W. Celler

Since Specialization
Citations

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

Fields of papers citing papers by Jakub W. Celler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub W. Celler. 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 Jakub W. Celler. The network helps show where Jakub W. Celler may publish in the future.

Co-authorship network of co-authors of Jakub W. Celler

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub W. Celler. A scholar is included among the top collaborators of Jakub W. Celler 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 Jakub W. Celler. Jakub W. Celler 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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