Andreas Kleppe

1.7k total citations · 2 hit papers
22 papers, 1.0k citations indexed

About

Andreas Kleppe is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Andreas Kleppe has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Andreas Kleppe's work include Prostate Cancer Treatment and Research (7 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Genetic factors in colorectal cancer (5 papers). Andreas Kleppe is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Genetic factors in colorectal cancer (5 papers). Andreas Kleppe collaborates with scholars based in Norway, United Kingdom and Switzerland. Andreas Kleppe's co-authors include Håvard E. Danielsen, Knut Liestøl, Ole-Johan Skrede, Sepp de Raedt, David Kerr, Tarjei S. Hveem, Manohar Pradhan, Hanne A. Askautrud, Arild Nesbakken and Neil A. Shepherd and has published in prestigious journals such as The Lancet, Nature reviews. Cancer and JNCI Journal of the National Cancer Institute.

In The Last Decade

Andreas Kleppe

21 papers receiving 1.0k 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 →
Designing deep learning studies in cancer diagnostics

2021 210 citations Andreas Kleppe, Ole-Johan Skrede et al. Nature reviews. Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Kleppe Norway	11	460	368	356	219	189	22	1.0k
Balázs Ács Sweden	17	461 1.0×	563 1.5×	436 1.2×	333 1.5×	230 1.2×	50	1.2k
Tarjei S. Hveem Norway	12	345 0.8×	332 0.9×	265 0.7×	211 1.0×	161 0.9×	21	841
Jeremias Krause Germany	3	489 1.1×	305 0.8×	466 1.3×	198 0.9×	109 0.6×	8	868
Richard Colling United Kingdom	18	263 0.6×	252 0.7×	318 0.9×	122 0.6×	124 0.7×	47	769
Matahi Moarii France	9	422 0.9×	215 0.6×	434 1.2×	251 1.1×	291 1.5×	12	1.1k
Manohar Pradhan Norway	15	311 0.7×	356 1.0×	240 0.7×	291 1.3×	252 1.3×	50	1.1k
Elodie Pronier United States	13	419 0.9×	194 0.5×	434 1.2×	216 1.0×	424 2.2×	17	1.2k
Thomas Clozel United States	13	463 1.0×	265 0.7×	439 1.2×	248 1.1×	332 1.8×	18	1.4k
Sara Kochanny United States	16	267 0.6×	341 0.9×	261 0.7×	205 0.9×	141 0.7×	37	1.0k
William T. Tran Canada	27	1.1k 2.3×	315 0.9×	486 1.4×	301 1.4×	157 0.8×	86	1.9k

Countries citing papers authored by Andreas Kleppe

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Kleppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kleppe

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

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

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

Kleppe, Andreas, Ole-Johan Skrede, Knut Liestøl, David Kerr, & Håvard E. Danielsen. (2024). Guidelines for study protocols describing predefined validations of prediction models in medical deep learning and beyond. Nature Machine Intelligence. 6(1). 2–3. 1 indexed citations

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

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

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

Lindemann, Kristina, et al.. (2023). Prospective evaluation of an enhanced recovery after surgery (ERAS) pathway in a Norwegian cohort of patients with suspected or advanced ovarian cancer. International Journal of Gynecological Cancer. 33(8). 1279–1286. 6 indexed citations

Yang, Li, Jinlin Yang, Andreas Kleppe, Håvard E. Danielsen, & David Kerr. (2023). Personalizing adjuvant therapy for patients with colorectal cancer. Nature Reviews Clinical Oncology. 21(1). 67–79. 52 indexed citations

Lindemann, Kristina, Brynhildur Eyjólfsdóttir, Odd Mjåland, et al.. (2023). Patient-reported nausea after implementation of an enhanced recovery after surgery protocol for gynae-oncology patients. International Journal of Gynecological Cancer. 33(8). 1287–1294.

10.

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

11.

Kleppe, Andreas, Ole-Johan Skrede, Sepp de Raedt, et al.. (2021). Designing deep learning studies in cancer diagnostics. Nature reviews. Cancer. 21(3). 199–211. 210 indexed citations breakdown →

12.

Nunes‐Xavier, Caroline E., Wanja Kildal, Andreas Kleppe, et al.. (2021). Immune checkpoint B7‐H3 protein expression is associated with poor outcome and androgen receptor status in prostate cancer. The Prostate. 81(12). 838–848. 20 indexed citations

13.

Kristensen, Gunnar B., et al.. (2021). Long-term oncological outcomes and recurrence patterns in early-stage cervical cancer treated with minimally invasive versus abdominal radical hysterectomy: The Norwegian Radium Hospital experience. Gynecologic Oncology. 162(2). 284–291. 13 indexed citations

14.

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

15.

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 →

16.

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

17.

Nielsen, Birgitte, Andreas Kleppe, Tarjei S. Hveem, et al.. (2018). Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers. JNCI Journal of the National Cancer Institute. 110(12). 1400–1408. 4 indexed citations

18.

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

19.

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

20.

Hveem, Tarjei S., Andreas Kleppe, Ljiljana Vlatkovic, et al.. (2016). Chromatin changes predict recurrence after radical prostatectomy. British Journal of Cancer. 114(11). 1243–1250. 9 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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