Heidelinde Jäkel

21 total papers · 844 total citations
16 papers, 686 citations indexed

About

Heidelinde Jäkel is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Heidelinde Jäkel has authored 16 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Heidelinde Jäkel's work include Cancer-related Molecular Pathways (6 papers), Lipid metabolism and disorders (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Heidelinde Jäkel is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Lipid metabolism and disorders (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Heidelinde Jäkel collaborates with scholars based in Austria, France and United States. Heidelinde Jäkel's co-authors include Ludger Hengst, Michael Kullmann, Jamila Fruchart‐Najib, Jean‐Charles Fruchart, Richard W. Kriwacki, Matthias Grimmler, Thomas Mund, M. Brett Waddell, Eva‐Maria Keidel and Yuefeng Wang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Heidelinde Jäkel

15 papers receiving 669 citations

Author Peers

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

Author Last Decade Papers Cites
Heidelinde Jäkel 453 281 113 108 98 16 686
Keren Bitton-Worms 408 0.9× 164 0.6× 80 0.7× 56 0.5× 83 0.8× 12 652
M.C.M. van Dijk 440 1.0× 76 0.3× 75 0.7× 109 1.0× 79 0.8× 16 688
Jessica K. Nelson 386 0.9× 94 0.3× 80 0.7× 165 1.5× 49 0.5× 23 660
Dany Gauthier 215 0.5× 86 0.3× 108 1.0× 224 2.1× 62 0.6× 15 595
David S. Calnek 342 0.8× 59 0.2× 112 1.0× 72 0.7× 58 0.6× 12 607
Stefania Santopietro 481 1.1× 147 0.5× 57 0.5× 66 0.6× 123 1.3× 9 612
Nankang Hong 256 0.6× 84 0.3× 78 0.7× 239 2.2× 83 0.8× 14 648
Shengyong Yang 552 1.2× 109 0.4× 61 0.5× 42 0.4× 30 0.3× 25 706
Jennifer Y. Lee 430 0.9× 100 0.4× 45 0.4× 91 0.8× 51 0.5× 21 643
Soumya Ullas 397 0.9× 139 0.5× 81 0.7× 57 0.5× 52 0.5× 11 644

Countries citing papers authored by Heidelinde Jäkel

Since Specialization
Citations

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

Fields of papers citing papers by Heidelinde Jäkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidelinde Jäkel

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