Camilla Haslekås

19 total papers · 735 total citations
9 papers, 590 citations indexed

About

Camilla Haslekås is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Camilla Haslekås has authored 9 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Camilla Haslekås's work include Redox biology and oxidative stress (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and HER2/EGFR in Cancer Research (3 papers). Camilla Haslekås is often cited by papers focused on Redox biology and oxidative stress (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and HER2/EGFR in Cancer Research (3 papers). Camilla Haslekås collaborates with scholars based in Norway, Morocco and Spain. Camilla Haslekås's co-authors include Inger Helene Madshus, Espen Stang, Reidunn B. Aalen, Nina Marie Pedersen, Marte K. Viken, Silje Nord, Paul E. Grini, Francisco A. Culiáñez‐Macià, Robin A. P. Stacy and Kamilla Breen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and European Journal of Biochemistry.

In The Last Decade

Camilla Haslekås

8 papers receiving 582 citations

Author Peers

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

Author Last Decade Papers Cites
Camilla Haslekås 371 179 165 145 56 9 590
Udo Mallick 434 1.2× 55 0.3× 81 0.5× 63 0.4× 50 0.9× 11 639
William Burkhart 313 0.8× 246 1.4× 103 0.6× 26 0.2× 48 0.9× 10 608
Melvyn Hollis 497 1.3× 53 0.3× 111 0.7× 50 0.3× 32 0.6× 8 664
Annette Pöting 431 1.2× 50 0.3× 58 0.4× 36 0.2× 43 0.8× 13 586
Garabet G. Toby 445 1.2× 120 0.7× 37 0.2× 44 0.3× 103 1.8× 15 616
Zaruhi Poghosyan 345 0.9× 126 0.7× 138 0.8× 21 0.1× 51 0.9× 15 528
Jerry L. Hooker 379 1.0× 118 0.7× 95 0.6× 37 0.3× 41 0.7× 7 515
David N. Podell 258 0.7× 30 0.2× 39 0.2× 67 0.5× 36 0.6× 11 503
K J Einspahr 301 0.8× 165 0.9× 39 0.2× 38 0.3× 56 1.0× 9 547
Aristidis Sachpatzidis 501 1.4× 50 0.3× 167 1.0× 31 0.2× 118 2.1× 9 684

Countries citing papers authored by Camilla Haslekås

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Haslekås

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Haslekås

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Haslekås. A scholar is included among the top collaborators of Camilla Haslekås 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 Camilla Haslekås. Camilla Haslekås 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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2026