Daniel Nebdal

997 total citations
16 papers, 433 citations indexed

About

Daniel Nebdal is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Daniel Nebdal has authored 16 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Daniel Nebdal's work include Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers) and Epigenetics and DNA Methylation (3 papers). Daniel Nebdal is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers) and Epigenetics and DNA Methylation (3 papers). Daniel Nebdal collaborates with scholars based in Norway, France and Finland. Daniel Nebdal's co-authors include Anne‐Lise Børresen‐Dale, Ole Christian Lingjærde, Åslaug Helland, Hege Edvardsen, Vessela N. Kristensen, Ann Rita Halvorsen, Jörg Tost, Anna Barbro Sætersdal, Hiroko Kato Solvang and Thomas Fleischer and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, International Journal of Cancer and Genomics.

In The Last Decade

Daniel Nebdal

15 papers receiving 429 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Nebdal Norway	10	242	194	152	81	72	16	433
Marcin Nicoś Poland	11	191 0.8×	157 0.8×	170 1.1×	164 2.0×	39 0.5×	43	417
Guowen Lin China	13	207 0.9×	162 0.8×	132 0.9×	224 2.8×	50 0.7×	20	466
Molykutty John‐Aryankalayil United States	9	201 0.8×	178 0.9×	104 0.7×	81 1.0×	134 1.9×	10	413
Monica Milano Italy	10	134 0.6×	176 0.9×	311 2.0×	138 1.7×	83 1.2×	22	489
Ingvild L. Tangen Norway	17	257 1.1×	145 0.7×	180 1.2×	102 1.3×	63 0.9×	26	684
P. Twardowski United States	8	227 0.9×	182 0.9×	109 0.7×	169 2.1×	58 0.8×	26	405
Jennifer Kane United States	11	152 0.6×	190 1.0×	191 1.3×	44 0.5×	37 0.5×	26	487
Matteo Repetto Italy	10	131 0.5×	114 0.6×	159 1.0×	126 1.6×	45 0.6×	23	360
Catherine J. Kennedy Australia	13	234 1.0×	119 0.6×	194 1.3×	176 2.2×	44 0.6×	25	560
Borgny Ytterhus Norway	11	192 0.8×	125 0.6×	178 1.2×	53 0.7×	71 1.0×	23	370

Countries citing papers authored by Daniel Nebdal

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Nebdal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nebdal

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

All Works

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16 of 16 papers shown

Lindemann, Kristina, Franziska Siegenthaler, Knut Lande, et al.. (2025). Prognostic value of assessing ctDNA in patients with endometrial carcinoma - an international multicenter study. Gynecologic Oncology. 195. 98–105.

Davidson, Ben, Daniel Nebdal, Arild Holth, et al.. (2024). Endometrial carcinomas with ambiguous histology often harbor TP53 mutations. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 486(4). 697–705. 1 indexed citations

Lingjærde, Ole Christian, et al.. (2024). Explainable multi-omics deep clustering model reveals an important role of DNA methylation in pancreatic ductal adenocarcinoma. 4(2). 26–42. 1 indexed citations

Silwal‐Pandit, Laxmi, Henrik J. Johansson, Georgios Mermelekas, et al.. (2022). Proteome Analysis of Pancreatic Tumors Implicates Extracellular Matrix in Patient Outcome. Cancer Research Communications. 2(6). 434–446. 5 indexed citations

Nebdal, Daniel, et al.. (2021). Dynamic changes in the T cell receptor repertoire during treatment with radiotherapy combined with an immune checkpoint inhibitor. Molecular Oncology. 15(11). 2958–2968. 9 indexed citations

Nebdal, Daniel, Marius Lund‐Iversen, Odd Terje Brustugun, et al.. (2020). Immune checkpoint blockade in the treatment of advanced non-small cell lung cancer – predictors of response and impact of previous radiotherapy. Acta Oncologica. 60(2). 149–156. 8 indexed citations

Aure, Miriam R. R., Mads H. Haugen, Kristine Kleivi Sahlberg, et al.. (2019). miRNA expression changes during the course of neoadjuvant bevacizumab and chemotherapy treatment in breast cancer. Molecular Oncology. 13(10). 2278–2296. 38 indexed citations

Halvorsen, Ann Rita, Daniel Nebdal, Marius Lund‐Iversen, et al.. (2019). The immune microenvironment in non‐small cell lung cancer is predictive of prognosis after surgery. Molecular Oncology. 13(5). 1166–1179. 51 indexed citations

Halvorsen, Ann Rita, Miriam R. R. Aure, Odd Terje Brustugun, et al.. (2019). Identification of microRNAs involved in pathways which characterize the expression subtypes of NSCLC. Molecular Oncology. 13(12). 2604–2615. 11 indexed citations

10.

Leivonen, Suvi‐Katri, Daniel Nebdal, Anna Git, et al.. (2018). miR-342-5p as a Potential Regulator of HER2 Breast Cancer Cell Growth. MicroRNA. 8(2). 155–165. 35 indexed citations

11.

Rye, Inga Hansine, Anne Trinh, Anna Barbro Sætersdal, et al.. (2018). Intratumor heterogeneity defines treatment‐resistant HER 2+ breast tumors. Molecular Oncology. 12(11). 1838–1855. 75 indexed citations

12.

Kaveh, Fatemeh, Lars O. Baumbusch, Daniel Nebdal, et al.. (2016). A systematic comparison of copy number alterations in four types of female cancer. BMC Cancer. 16(1). 913–913. 16 indexed citations

13.

Halvorsen, Ann Rita, Åslaug Helland, Thomas Fleischer, et al.. (2014). Differential DNA methylation analysis of breast cancer reveals the impact of immune signaling in radiation therapy. International Journal of Cancer. 135(9). 2085–2095. 28 indexed citations

14.

Dumeaux, Vanessa, Daniel Nebdal, Eiliv Lund, et al.. (2013). Genome-wide association study in breast cancer survivors reveals SNPs associated with gene expression of genes belonging to MHC class I and II. Genomics. 102(4). 278–287. 9 indexed citations

15.

Edvardsen, Hege, Kristin V. Reinertsen, Xi Zhao, et al.. (2013). SNP in TXNRD2 Associated With Radiation-Induced Fibrosis: A Study of Genetic Variation in Reactive Oxygen Species Metabolism and Signaling. International Journal of Radiation Oncology*Biology*Physics. 86(4). 791–799. 45 indexed citations

16.

Rønneberg, Jo Anders, Thomas Fleischer, Hiroko Kato Solvang, et al.. (2010). Methylation profiling with a panel of cancer related genes: Association with estrogen receptor, TP53 mutation status and expression subtypes in sporadic breast cancer. Molecular Oncology. 5(1). 61–76. 101 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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