Ineke Braakman

130 total papers · 10.5k total citations
100 papers, 8.3k citations indexed

About

Ineke Braakman is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Ineke Braakman has authored 100 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 42 papers in Cell Biology and 17 papers in Immunology. Recurrent topics in Ineke Braakman's work include Endoplasmic Reticulum Stress and Disease (36 papers), Cystic Fibrosis Research Advances (16 papers) and Drug Transport and Resistance Mechanisms (11 papers). Ineke Braakman is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (36 papers), Cystic Fibrosis Research Advances (16 papers) and Drug Transport and Resistance Mechanisms (11 papers). Ineke Braakman collaborates with scholars based in Netherlands, United States and United Kingdom. Ineke Braakman's co-authors include Ari Helenius, Roberto Sitia, Neil J. Bulleid, Bertrand Kleizen, Jonne Helenius, Henk F. Tabak, Craig Hammond, Ari Helenius, Daniel N. Hebert and Eelco van Anken and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ineke Braakman

98 papers receiving 8.2k citations

Hit Papers

Role of N-linked oligosac... 1994 2026 2004 2015 1994 2003 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ineke Braakman 5.2k 3.6k 1.4k 1.4k 619 100 8.3k
Lars Ellgaard 4.7k 0.9× 4.0k 1.1× 1.2k 0.8× 1.2k 0.9× 478 0.8× 62 7.5k
Maurizio Molinari 5.1k 1.0× 5.1k 1.4× 1.9k 1.3× 2.3k 1.6× 912 1.5× 114 9.2k
Gary Thomas 4.7k 0.9× 2.5k 0.7× 1.1k 0.8× 1.1k 0.8× 537 0.9× 79 8.0k
Roberto Sitia 7.5k 1.5× 5.0k 1.4× 3.2k 2.2× 1.9k 1.3× 931 1.5× 179 12.6k
Yusuke Maeda 4.0k 0.8× 2.0k 0.5× 956 0.7× 1.8k 1.3× 1.1k 1.9× 155 6.7k
David B. Williams 3.7k 0.7× 3.0k 0.8× 3.3k 2.3× 949 0.7× 375 0.6× 60 7.1k
Daniel N. Hebert 3.7k 0.7× 3.1k 0.9× 1.1k 0.8× 1.0k 0.7× 485 0.8× 101 6.3k
Michael G. Roth 7.5k 1.5× 3.9k 1.1× 957 0.7× 1.5k 1.1× 1.1k 1.7× 114 10.6k
Serge Y. Fuchs 6.3k 1.2× 1.4k 0.4× 2.8k 1.9× 1.2k 0.8× 380 0.6× 154 9.9k
Jacques Camonis 8.9k 1.7× 3.9k 1.1× 1.7k 1.2× 747 0.5× 505 0.8× 148 11.8k

Countries citing papers authored by Ineke Braakman

Since Specialization
Citations

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

Fields of papers citing papers by Ineke Braakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ineke Braakman

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