Iwona Gumper

12 total papers · 1.5k total citations
10 papers, 1.2k citations indexed

About

Iwona Gumper is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Iwona Gumper has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in Iwona Gumper's work include Cellular transport and secretion (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Skin and Cellular Biology Research (3 papers). Iwona Gumper is often cited by papers focused on Cellular transport and secretion (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Skin and Cellular Biology Research (3 papers). Iwona Gumper collaborates with scholars based in United States, Switzerland and Japan. Iwona Gumper's co-authors include David D. Sabatini, Radek Dobrowolski, Edward M. De Robertis, Jean-Louis Plouhinec, Luis C. Fuentealba, Vincent Taelman, David M. Sabatini, Roberto Zoncu, Alejo Efeyan and Oktay Kirak and has published in prestigious journals such as Nature, Cell and Journal of Investigative Dermatology.

In The Last Decade

Iwona Gumper

10 papers receiving 1.2k citations

Hit Papers

Wnt Signaling Requires Se... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Iwona Gumper 879 363 183 119 113 10 1.2k
Zhi-Yang Tsun 911 1.0× 326 0.9× 250 1.4× 130 1.1× 86 0.8× 6 1.3k
Hervé Barrière 799 0.9× 352 1.0× 123 0.7× 117 1.0× 65 0.6× 17 1.3k
Alberto T. Gatta 831 0.9× 481 1.3× 121 0.7× 126 1.1× 77 0.7× 11 1.3k
George Talbott 789 0.9× 186 0.5× 192 1.0× 193 1.6× 144 1.3× 17 1.1k
Alexander Goginashvili 748 0.9× 175 0.5× 146 0.8× 95 0.8× 176 1.6× 15 1.0k
Constantinos Demetriades 597 0.7× 255 0.7× 170 0.9× 132 1.1× 164 1.5× 25 1.0k
Venugopal D. Talkad 660 0.8× 275 0.8× 71 0.4× 228 1.9× 106 0.9× 14 1.0k
Lawrence D. Schweitzer 913 1.0× 307 0.8× 199 1.1× 113 0.9× 81 0.7× 10 1.3k
Ofer Moldavski 649 0.7× 287 0.8× 159 0.9× 151 1.3× 89 0.8× 11 959
Aimee M. Powelka 612 0.7× 359 1.0× 122 0.7× 251 2.1× 75 0.7× 8 912

Countries citing papers authored by Iwona Gumper

Since Specialization
Citations

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

Fields of papers citing papers by Iwona Gumper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iwona Gumper

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