Jakub Jeż

24 total papers · 1.0k total citations
15 papers, 749 citations indexed

About

Jakub Jeż is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Jakub Jeż has authored 15 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biotechnology and 6 papers in Plant Science. Recurrent topics in Jakub Jeż's work include Transgenic Plants and Applications (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Jakub Jeż is often cited by papers focused on Transgenic Plants and Applications (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Jakub Jeż collaborates with scholars based in Austria, Germany and United States. Jakub Jeż's co-authors include Herta Steinkellner, Richard Strasser, Friedrich Altmann, Alexandra Castilho, Renate Kunert, Pia Gattinger, Josephine Grass, Heribert Quendler, Johannes Stadlmann and Martin Pabst and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Jakub Jeż

14 papers receiving 728 citations

Author Peers

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

Author						Papers	Cites
Jakub Jeż	549	465	258	206	140	15	749
Thomas Keitel	416 0.8×	243 0.5×	95 0.4×	74 0.4×	198 1.4×	12	665
Catherine Navarre	695 1.3×	461 1.0×	144 0.6×	271 1.3×	66 0.5×	27	853
Wouter Vervecken	685 1.2×	227 0.5×	153 0.6×	110 0.5×	151 1.1×	19	886
Joan E. Smallshaw	239 0.4×	463 1.0×	549 2.1×	68 0.3×	114 0.8×	21	688
Lynn F. Dickey	619 1.1×	293 0.6×	129 0.5×	294 1.4×	126 0.9×	19	770
Natarajan Sethuraman	647 1.2×	200 0.4×	79 0.3×	33 0.2×	229 1.6×	11	734
Anne‐Catherine Fitchette‐Lainé	604 1.1×	426 0.9×	209 0.8×	229 1.1×	46 0.3×	10	770
Karin Refsnes	383 0.7×	508 1.1×	691 2.7×	107 0.5×	35 0.3×	10	787
Betsy L. Lytle	528 1.0×	178 0.4×	83 0.3×	187 0.9×	31 0.2×	19	836
C. Fernández-Puentes	309 0.6×	288 0.6×	504 2.0×	131 0.6×	14 0.1×	10	649

Countries citing papers authored by Jakub Jeż

Since Specialization

Citations

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

Fields of papers citing papers by Jakub Jeż

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Jeż

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