Nanna Junker

13 total papers · 578 total citations
10 papers, 472 citations indexed

About

Nanna Junker is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Nanna Junker has authored 10 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Nanna Junker's work include Studies on Chitinases and Chitosanases (4 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Nanna Junker is often cited by papers focused on Studies on Chitinases and Chitosanases (4 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Nanna Junker collaborates with scholars based in Denmark, United States and Sweden. Nanna Junker's co-authors include Paul E.G. Kristjansen, Julia S. Johansen, Eva Løbner Lund, Claus Andersen, Lasse Tengbjerg Hansen, Christina Christoffersen, Lars B. Nielsen, T. Pedersen, Carsten H. Nielsen and Emil D. Bartels and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research and Cancer Letters.

In The Last Decade

Nanna Junker

10 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Nanna Junker 324 176 133 62 35 10 472
Marko Roblek 227 0.7× 212 1.2× 221 1.7× 76 1.2× 92 2.6× 17 521
Adonia E. Papathanassiu 271 0.8× 110 0.6× 47 0.4× 114 1.8× 19 0.5× 14 547
Justine Pascual 173 0.5× 198 1.1× 94 0.7× 88 1.4× 40 1.1× 6 441
Beth Walters 304 0.9× 128 0.7× 150 1.1× 111 1.8× 24 0.7× 15 548
A Lovas 306 0.9× 154 0.9× 136 1.0× 123 2.0× 12 0.3× 13 541
Sathish Kumar Maney 216 0.7× 102 0.6× 116 0.9× 51 0.8× 54 1.5× 9 422
Quanhui Zheng 356 1.1× 95 0.5× 111 0.8× 79 1.3× 25 0.7× 14 517
Hugh Gannon 365 1.1× 77 0.4× 159 1.2× 92 1.5× 28 0.8× 14 469
Jee Yun Han 243 0.8× 69 0.4× 82 0.6× 88 1.4× 36 1.0× 12 547
Yi Fu 431 1.3× 154 0.9× 49 0.4× 50 0.8× 34 1.0× 11 547

Countries citing papers authored by Nanna Junker

Since Specialization
Citations

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

Fields of papers citing papers by Nanna Junker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanna Junker

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