Bente Kierulf

828 total citations
11 papers, 495 citations indexed

About

Bente Kierulf is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Bente Kierulf has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Bente Kierulf's work include Extracellular vesicles in disease (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Bente Kierulf is often cited by papers focused on Extracellular vesicles in disease (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Bente Kierulf collaborates with scholars based in Norway, Russia and Israel. Bente Kierulf's co-authors include Axl Neurauter, Reidun Øvstebø, Alicia Llorente, Tore Skotland, Kari Bente Foss Haug, Beate Vestad, Peter Kierulf, Santosh Phuyal, Kirsten Sandvig and Ketil Winther Pedersen and has published in prestigious journals such as Clinical Chemistry, Biochemical Society Transactions and Clinical Therapeutics.

In The Last Decade

Bente Kierulf

11 papers receiving 485 citations

Peers

Bente Kierulf

MB

CR

IMMUN

BE

RNMI

Judy Ruckman United States

Erik F. Young United States

Naomi Saichi Japan

Zhi Qiao China

Axl Neurauter Norway

Phuong‐Hien Nguyen Germany

Elena Khomyakova Russia

Olga Shatnyeva Germany

Stefania Forti Italy

Tamiko Minamisawa Japan

Judy Ruckman United States

Bente Kierulf

733 ×1.7

MB

103 ×0.5

CR

51 ×0.6

IMMUN

85 ×1.5

BE

85 ×1.8

RNMI

Citations per year, relative to Bente Kierulf Bente Kierulf (= 1×) peers Judy Ruckman

Countries citing papers authored by Bente Kierulf

Since Specialization

Citations

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

Fields of papers citing papers by Bente Kierulf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bente Kierulf

This figure shows the co-authorship network connecting the top 25 collaborators of Bente Kierulf. A scholar is included among the top collaborators of Bente Kierulf 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 Bente Kierulf. Bente Kierulf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Pedersen, Ketil Winther, Bente Kierulf, & Axl Neurauter. (2017). Specific and Generic Isolation of Extracellular Vesicles with Magnetic Beads. Methods in molecular biology. 1660. 65–87. 28 indexed citations

2.

Vestad, Beate, Alicia Llorente, Axl Neurauter, et al.. (2017). Size and concentration analyses of extracellular vesicles by nanoparticle tracking analysis: a variation study. Journal of Extracellular Vesicles. 6(1). 1344087–1344087. 236 indexed citations

3.

Kierulf, Bente, et al.. (2015). Direct Isolation of Exosomes from Cell Culture: Simplifying Methods for Exosome Enrichment and Analysis. 6(2). 17 indexed citations

4.

Oksvold, Morten P., Lise Forfang, Bente Kierulf, et al.. (2014). Expression of B-Cell Surface Antigens in Subpopulations of Exosomes Released From B-Cell Lymphoma Cells. Clinical Therapeutics. 36(6). 847–862.e1. 135 indexed citations

5.

Norum, Lars F., et al.. (1998). Carcinoma-Associated MUC1 Detected by Immunoradiometric Assays. Tumor Biology. 19(Suppl. 1). 134–146. 14 indexed citations

6.

Nustad, Kjell, et al.. (1998). Specificity and Affinity of 30 Monoclonal Antibodies against Alpha-Fetoprotein. Tumor Biology. 19(4). 293–300. 9 indexed citations

7.

Rye, Philip D., et al.. (1995). Breast cancer-associated antibody LU BCRU G7 recognises the terminal disaccharide Galβ1-3GlcNAc and can be used to isolate tumour cells from body fluids by an immunomagnetic bead procedure. Biochemical Society Transactions. 23(4). 584S–584S. 3 indexed citations

8.

Frengen, Jomar, et al.. (1994). Demonstration and minimization of serum interference in flow cytometric two-site immunoassays.. PubMed. 40(3). 420–5. 14 indexed citations

9.

Frengen, Jomar, et al.. (1994). Demonstration and minimization of serum interference in flow cytometric two-site immunoassays. Clinical Chemistry. 40(3). 420–425. 15 indexed citations

10.

Frengen, Jomar, Ruth Schmid, Bente Kierulf, et al.. (1993). Homogeneous immunofluorometric assays of alpha-fetoprotein with macroporous, monosized particles and flow cytometry. Clinical Chemistry. 39(10). 2174–2181. 18 indexed citations

11.

Vergote, Ignace, et al.. (1992). B-Cell Hybridoma as Intraperitoneal Tumor Model: Correlation Between Tumor Growth and Monoclonal Antibody Production. Hybridoma. 11(3). 323–331. 6 indexed citations

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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