Hanne A. Askautrud

1.9k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Hanne A. Askautrud is a scholar working on Oncology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Hanne A. Askautrud has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Cancer Research and 5 papers in Obstetrics and Gynecology. Recurrent topics in Hanne A. Askautrud's work include Endometrial and Cervical Cancer Treatments (5 papers), Colorectal Cancer Surgical Treatments (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Hanne A. Askautrud is often cited by papers focused on Endometrial and Cervical Cancer Treatments (5 papers), Colorectal Cancer Surgical Treatments (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Hanne A. Askautrud collaborates with scholars based in Norway, United Kingdom and United States. Hanne A. Askautrud's co-authors include Mikala Egeblad, Zena Werb, Andrew J. Ewald, Andreas Kleppe, Tarjei S. Hveem, Håvard E. Danielsen, Manohar Pradhan, Elizabeth S. Nakasone, Neil A. Shepherd and Arild Nesbakken and has published in prestigious journals such as The Lancet, PLoS ONE and Cancer Cell.

In The Last Decade

Hanne A. Askautrud

20 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

2020 393 citations Ole-Johan Skrede, Sepp de Raedt et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanne A. Askautrud Norway	12	563	346	317	256	246	22	1.3k
Inka Zörnig Germany	15	618 1.1×	602 1.7×	352 1.1×	350 1.4×	469 1.9×	37	1.4k
Balázs Ács Sweden	17	563 1.0×	461 1.3×	230 0.7×	173 0.7×	436 1.8×	50	1.2k
C. Dilara Savci‐Heijink Netherlands	22	392 0.7×	227 0.7×	392 1.2×	148 0.6×	130 0.5×	57	1.5k
Altuna Halilović Netherlands	9	484 0.9×	157 0.5×	208 0.7×	395 1.5×	188 0.8×	14	921
Robin Edwards United States	12	492 0.9×	205 0.6×	493 1.6×	131 0.5×	195 0.8×	25	1.1k
Maeve Mullooly Ireland	17	614 1.1×	291 0.8×	343 1.1×	95 0.4×	213 0.9×	49	1.2k
Noah F. Greenwald United States	16	465 0.8×	138 0.4×	788 2.5×	222 0.9×	82 0.3×	29	1.9k
Farah Khalil United States	15	663 1.2×	143 0.4×	315 1.0×	452 1.8×	157 0.6×	37	1.3k
Panu E. Kovanen Finland	26	691 1.2×	415 1.2×	627 2.0×	755 2.9×	422 1.7×	44	2.3k
Timothy M. D’Alfonso United States	22	871 1.5×	187 0.5×	346 1.1×	280 1.1×	144 0.6×	69	1.8k

Countries citing papers authored by Hanne A. Askautrud

Since Specialization

Citations

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

Fields of papers citing papers by Hanne A. Askautrud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanne A. Askautrud. 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 Hanne A. Askautrud. The network helps show where Hanne A. Askautrud may publish in the future.

Co-authorship network of co-authors of Hanne A. Askautrud

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

All Works

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20 of 20 papers shown

1.

Pradhan, Manohar, Wanja Kildal, Ljiljana Vlatkovic, et al.. (2025). Prognostic value of tertiary lymphoid structures in molecular subgroups of endometrial carcinoma. International Journal of Gynecological Cancer. 35(7). 101915–101915. 1 indexed citations

2.

Ebner, Christoph, Kristina Lindemann, Gunnar B. Kristensen, et al.. (2025). Are brain metastases a special issue in POLE-mutated endometrial cancer? a case report series. Frontiers in Oncology. 15. 1568137–1568137.

3.

Lindemann, Kristina, Wanja Kildal, Andreas Kleppe, et al.. (2024). Real-world outcomes in molecular subgroups for patients with advanced or recurrent endometrial cancer treated with platinum-based chemotherapy. International Journal of Gynecological Cancer. 35(5). 101618–101618. 1 indexed citations

4.

Kleppe, Andreas, Kristina Lindemann, Wanja Kildal, et al.. (2024). Prognostic and therapeutic implication of molecular classification including L1CAM expression in high-risk endometrial cancer. Gynecologic Oncology. 192. 80–88. 3 indexed citations

5.

Cairns, John, et al.. (2024). Is Risk-Stratifying Patients with Colorectal Cancer Using a Deep Learning-Based Prognostic Biomarker Cost-Effective?. PharmacoEconomics. 42(6). 679–691.

6.

Haug, Erik Skaaheim, Manohar Pradhan, Ljiljana Vlatkovic, et al.. (2024). DNA ploidy and PTEN as biomarkers for predicting aggressive disease in prostate cancer patients under active surveillance. British Journal of Cancer. 131(5). 895–904. 2 indexed citations

7.

Lindemann, Kristina, Wanja Kildal, Andreas Kleppe, et al.. (2024). Impact of molecular profile on prognosis and relapse pattern in low and intermediate risk endometrial cancer. European Journal of Cancer. 200. 113584–113584. 11 indexed citations

8.

Kleppe, Andreas, Ole-Johan Skrede, Sepp de Raedt, et al.. (2022). A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study. The Lancet Oncology. 23(9). 1221–1232. 50 indexed citations

9.

Kleppe, Andreas, Ljiljana Vlatkovic, Manohar Pradhan, et al.. (2021). PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer. Cancers. 13(17). 4291–4291. 6 indexed citations

10.

Skrede, Ole-Johan, Sepp de Raedt, Andreas Kleppe, et al.. (2020). Deep learning for prediction of colorectal cancer outcome: a discovery and validation study. The Lancet. 395(10221). 350–360. 393 indexed citations breakdown →

11.

Kildal, Wanja, Ljiljana Vlatkovic, Manohar Pradhan, et al.. (2019). Prognostic value of mitotic checkpoint protein BUB3, cyclin B1, and pituitary tumor-transforming 1 expression in prostate cancer. Modern Pathology. 33(5). 905–915. 23 indexed citations

12.

Fußer, Markus, Anders Øverbye, Abhilash Pandya, et al.. (2018). Cabazitaxel-loaded Poly(2-ethylbutyl cyanoacrylate) nanoparticles improve treatment efficacy in a patient derived breast cancer xenograft. Journal of Controlled Release. 293. 183–192. 43 indexed citations

13.

Kleppe, Andreas, Fritz Albregtsen, Ljiljana Vlatkovic, et al.. (2018). Chromatin organisation and cancer prognosis: a pan-cancer study. The Lancet Oncology. 19(3). 356–369. 56 indexed citations

14.

Danielsen, Håvard E., Tarjei S. Hveem, Enric Domingo, et al.. (2017). Prognostic markers for colorectal cancer: estimating ploidy and stroma. Annals of Oncology. 29(3). 616–623. 50 indexed citations

15.

Askautrud, Hanne A., Elisabet Gjernes, Gjermund Gunnes, et al.. (2014). Global Gene Expression Analysis Reveals a Link between NDRG1 and Vesicle Transport. PLoS ONE. 9(1). e87268–e87268. 27 indexed citations

16.

Nakasone, Elizabeth S., Hanne A. Askautrud, & Mikala Egeblad. (2013). Live Imaging of Drug Responses in the Tumor Microenvironment in Mouse Models of Breast Cancer. Journal of Visualized Experiments. e50088–e50088. 12 indexed citations

17.

Nakasone, Elizabeth S., Hanne A. Askautrud, & Mikala Egeblad. (2013). Live Imaging of Drug Responses in the Tumor Microenvironment in Mouse Models of Breast Cancer. Journal of Visualized Experiments. 3 indexed citations

18.

Nakasone, Elizabeth S., Hanne A. Askautrud, Tim Kees, et al.. (2012). Imaging Tumor-Stroma Interactions during Chemotherapy Reveals Contributions of the Microenvironment to Resistance. Cancer Cell. 21(4). 488–503. 381 indexed citations

19.

Nielsen, Boye Schnack, Mikala Egeblad, Fritz Rank, et al.. (2008). Matrix Metalloproteinase 13 Is Induced in Fibroblasts in Polyomavirus Middle T Antigen-Driven Mammary Carcinoma without Influencing Tumor Progression. PLoS ONE. 3(8). e2959–e2959. 25 indexed citations

20.

Størvold, Gro Leite, Elisabet Gjernes, Hanne A. Askautrud, et al.. (2007). A retroviral vector for siRNA expression in mammalian cells. Molecular Biotechnology. 35(3). 275–282. 8 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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