Ulrike Topf

26 total papers · 1.1k total citations
17 papers, 749 citations indexed

About

Ulrike Topf is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Ulrike Topf has authored 17 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Aging. Recurrent topics in Ulrike Topf's work include Mitochondrial Function and Pathology (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Ulrike Topf is often cited by papers focused on Mitochondrial Function and Pathology (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Ulrike Topf collaborates with scholars based in Poland, Germany and Switzerland. Ulrike Topf's co-authors include Agnieszka Chacińska, Lidia Wróbel, Bettina Warscheid, Piotr Chrościcki, Maciej Lirski, Silke Oeljeklaus, Andrzej Dziembowski, Elżbieta Januszewicz, Piotr Brągoszewski and Sebastian Wiese and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ulrike Topf

15 papers receiving 746 citations

Author Peers

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

Author Last Decade Papers Cites
Ulrike Topf 641 207 99 81 75 17 749
Karolina Szczepanowska 583 0.9× 148 0.7× 78 0.8× 122 1.5× 117 1.6× 19 724
Thomas Nowell 666 1.0× 213 1.0× 110 1.1× 142 1.8× 111 1.5× 16 829
Christoph U. Mårtensson 698 1.1× 127 0.6× 121 1.2× 142 1.8× 92 1.2× 13 818
Claire Pujol 667 1.0× 81 0.4× 51 0.5× 66 0.8× 104 1.4× 17 797
Takayuki Kanazawa 565 0.9× 87 0.4× 98 1.0× 158 2.0× 107 1.4× 17 685
Sevan Mattie 747 1.2× 137 0.7× 194 2.0× 126 1.6× 95 1.3× 11 862
Julia Philippou‐Massier 572 0.9× 149 0.7× 74 0.7× 42 0.5× 90 1.2× 14 740
Nadav Shai 658 1.0× 246 1.2× 93 0.9× 68 0.8× 115 1.5× 11 826
Weina Shang 496 0.8× 150 0.7× 112 1.1× 63 0.8× 92 1.2× 24 730
Till Klecker 587 0.9× 148 0.7× 74 0.7× 138 1.7× 32 0.4× 17 659

Countries citing papers authored by Ulrike Topf

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Topf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Topf

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