Diana Behrens

64 total papers · 796 total citations
27 papers, 618 citations indexed

About

Diana Behrens is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Diana Behrens has authored 27 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 15 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Diana Behrens's work include Pancreatic and Hepatic Oncology Research (11 papers), Cancer Cells and Metastasis (8 papers) and 3D Printing in Biomedical Research (4 papers). Diana Behrens is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Cancer Cells and Metastasis (8 papers) and 3D Printing in Biomedical Research (4 papers). Diana Behrens collaborates with scholars based in Germany, United Kingdom and Italy. Diana Behrens's co-authors include Iduna Fichtner, Wolfgang Walther, Jason H. Gill, Katrin Wenzel, Renate Stahn, Torben Redmer, Rita T. Lawlor, Yvonne Welte, Aldo Scarpa and Christopher Heeschen and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Diana Behrens

27 papers receiving 612 citations

Author Peers

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

Author Last Decade Papers Cites
Diana Behrens 338 278 94 94 92 27 618
Sandy Azzi 327 1.0× 200 0.7× 97 1.0× 135 1.4× 148 1.6× 18 685
Toby M. Ward 359 1.1× 202 0.7× 72 0.8× 169 1.8× 65 0.7× 19 614
Salam Kadhim 232 0.7× 194 0.7× 49 0.5× 71 0.8× 107 1.2× 21 600
Aaron M. LeBeau 314 0.9× 293 1.1× 67 0.7× 166 1.8× 67 0.7× 28 682
Francisco J. Cimas 325 1.0× 196 0.7× 71 0.8× 93 1.0× 78 0.8× 29 589
Margarite D. Matossian 310 0.9× 253 0.9× 46 0.5× 135 1.4× 51 0.6× 39 579
Jing Li 270 0.8× 215 0.8× 180 1.9× 184 2.0× 99 1.1× 25 692
Akifumi Mizutani 477 1.4× 270 1.0× 110 1.2× 115 1.2× 40 0.4× 30 693
Michela Cortesi 288 0.9× 189 0.7× 125 1.3× 79 0.8× 61 0.7× 24 644
Danfeng Luo 326 1.0× 160 0.6× 158 1.7× 95 1.0× 106 1.2× 31 650

Countries citing papers authored by Diana Behrens

Since Specialization
Citations

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

Fields of papers citing papers by Diana Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Behrens

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