Caroline Diener

32 total papers · 1.6k total citations
17 papers, 929 citations indexed

About

Caroline Diener is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Caroline Diener has authored 17 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Caroline Diener's work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (4 papers). Caroline Diener is often cited by papers focused on MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (4 papers). Caroline Diener collaborates with scholars based in Germany, United States and Poland. Caroline Diener's co-authors include Andreas Keller, Eckart Meese, Hans‐Peter Lenhof, Martin Hart, Stefanie Rheinheimer, Tim Kehl, Tobias Fehlmann, Nicole Ludwig, Mustafa Kahraman and Christina Backes and has published in prestigious journals such as Nucleic Acids Research, Trends in Genetics and American Journal of Physiology-Gastrointestinal and Liver Physiology.

In The Last Decade

Caroline Diener

16 papers receiving 923 citations

Hit Papers

Emerging concepts of miRN... 2022 2026 2023 2024 2022 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
Caroline Diener 679 548 85 65 48 17 929
Giorgos Skoufos 954 1.4× 811 1.5× 101 1.2× 97 1.5× 44 0.9× 14 1.2k
Dimitra Karagkouni 929 1.4× 818 1.5× 94 1.1× 89 1.4× 42 0.9× 9 1.2k
Anas Khaleel 742 1.1× 642 1.2× 50 0.6× 57 0.9× 33 0.7× 15 945
Santosh Phuyal 736 1.1× 375 0.7× 84 1.0× 44 0.7× 33 0.7× 17 960
Yujuan Xiong 830 1.2× 775 1.4× 74 0.9× 70 1.1× 48 1.0× 24 1.1k
Amanda Formosa 747 1.1× 723 1.3× 61 0.7× 78 1.2× 35 0.7× 19 1.2k
Wei Wang 786 1.2× 575 1.0× 108 1.3× 35 0.5× 35 0.7× 20 925
Wei Zhang 820 1.2× 743 1.4× 39 0.5× 45 0.7× 46 1.0× 18 1.0k
Zhenyu Xu 833 1.2× 769 1.4× 51 0.6× 47 0.7× 57 1.2× 23 1.0k
Renata Héžová 551 0.8× 430 0.8× 98 1.2× 58 0.9× 103 2.1× 24 795

Countries citing papers authored by Caroline Diener

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Diener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Diener

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