Martina van Uelft

25 total papers · 512 total citations
3 papers, 42 citations indexed

About

Martina van Uelft is a scholar working on Molecular Biology, Biochemistry and Organic Chemistry. According to data from OpenAlex, Martina van Uelft has authored 3 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Biochemistry and 1 paper in Organic Chemistry. Recurrent topics in Martina van Uelft's work include Lipid metabolism and biosynthesis (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). Martina van Uelft is often cited by papers focused on Lipid metabolism and biosynthesis (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). Martina van Uelft collaborates with scholars based in Germany and United Kingdom. Martina van Uelft's co-authors include Dieter Hartmann, Klaus Willecke, Joachim Degen, Thomas Ulas, Joachim L. Schultze, Peter Dörmann, Bernadette Breiden, Konrad Sandhoff, Reinhard Bauer and Katharina Gutbrod and has published in prestigious journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Histochemistry and Cell Biology.

In The Last Decade

Martina van Uelft

2 papers receiving 42 citations

Author Peers

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

Author Last Decade Papers Cites
Martina van Uelft 38 17 6 5 4 3 42
Nicole Villaverde 27 0.7× 7 0.4× 2 0.3× 7 1.4× 7 1.8× 3 51
Henry G. Poncher 14 0.4× 16 0.9× 2 0.3× 6 1.2× 5 1.3× 4 54
Eshaan S. Rawat 36 0.9× 18 1.1× 6 1.0× 18 3.6× 1 0.3× 3 56
Tahrima Saiha Huq 22 0.6× 5 0.3× 4 0.7× 7 1.4× 3 0.8× 3 36
Travis R. Madaris 67 1.8× 14 0.8× 4 0.7× 4 0.8× 4 1.0× 3 73
Tom R. Walters 28 0.7× 15 0.9× 6 1.0× 2 0.4× 5 1.3× 5 228
Stephen S. Rekow 149 3.9× 10 0.6× 5 0.8× 5 1.0× 2 0.5× 5 227
John M. Newell 14 0.4× 10 0.6× 8 1.3× 2 0.4× 10 2.5× 4 55
Christopher D. Nogiec 26 0.7× 20 1.2× 2 0.3× 8 1.6× 4 1.0× 3 40
P. Flynn 19 0.5× 32 1.9× 6 1.0× 10 2.0× 14 3.5× 3 52

Countries citing papers authored by Martina van Uelft

Since Specialization
Citations

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

Fields of papers citing papers by Martina van Uelft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina van Uelft. 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 Martina van Uelft. The network helps show where Martina van Uelft may publish in the future.

Co-authorship network of co-authors of Martina van Uelft

This figure shows the co-authorship network connecting the top 25 collaborators of Martina van Uelft. A scholar is included among the top collaborators of Martina van Uelft 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 Martina van Uelft. Martina van Uelft 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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