Aurélie Fernandez

595 total citations · 1 hit paper
8 papers, 353 citations indexed

About

Aurélie Fernandez is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Aurélie Fernandez has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Aurélie Fernandez's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Aurélie Fernandez is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Aurélie Fernandez collaborates with scholars based in Germany and United Kingdom. Aurélie Fernandez's co-authors include Wilfried Roth, Sebastian Foersch, Ann-Christin Woerl, Daniel‐Christoph Wagner, Markus Eckstein, Arndt Hartmann, Philipp Stenzel, Christina Glasner, Stefan Schulz and Moritz Jesinghaus and has published in prestigious journals such as Nature Medicine, European Urology and Oncotarget.

In The Last Decade

Aurélie Fernandez

8 papers receiving 345 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.

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

2023 141 citations Sebastian Foersch, Christina Glasner et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aurélie Fernandez Germany	5	181	151	119	85	64	8	353
Ann-Christin Woerl Germany	4	219 1.2×	183 1.2×	134 1.1×	92 1.1×	73 1.1×	6	392
Kwangil Yim South Korea	13	124 0.7×	89 0.6×	160 1.3×	109 1.3×	46 0.7×	43	393
Toshiyuki Ishiba Japan	9	163 0.9×	123 0.8×	68 0.6×	68 0.8×	75 1.2×	35	331
Saba Shafi United States	10	126 0.7×	123 0.8×	135 1.1×	50 0.6×	49 0.8×	42	387
Kate Lillard Japan	6	136 0.8×	161 1.1×	145 1.2×	40 0.5×	57 0.9×	7	390
Christina Glasner Germany	3	153 0.8×	129 0.9×	93 0.8×	62 0.7×	53 0.8×	4	279
Philipp Stenzel Germany	8	117 0.6×	92 0.6×	122 1.0×	119 1.4×	58 0.9×	16	362
Si-Cong Ma China	9	150 0.8×	96 0.6×	190 1.6×	104 1.2×	76 1.2×	21	391
Charles Maussion France	4	178 1.0×	190 1.3×	67 0.6×	74 0.9×	57 0.9×	12	338
John Arne Nesheim Norway	5	266 1.5×	204 1.4×	217 1.8×	64 0.8×	82 1.3×	9	477

Countries citing papers authored by Aurélie Fernandez

Since Specialization

Citations

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

Fields of papers citing papers by Aurélie Fernandez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Fernandez

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Clusmann, Jan, Stefan Schulz, Dyke Ferber, et al.. (2025). Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology. NEJM AI. 2(6). 3 indexed citations

2.

Marion, Ingrid van, Stefan Schulz, Christina Glasner, et al.. (2025). Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma. Thyroid. 35(7). 771–780. 2 indexed citations

3.

Foersch, Sebastian, Christina Glasner, Ann-Christin Woerl, et al.. (2023). Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature Medicine. 29(2). 430–439. 141 indexed citations breakdown →

4.

Fernandez, Aurélie, Björn Konukiewitz, Mario Schindeldecker, et al.. (2022). Senescence-Associated Molecules and Tumor-Immune-Interactions as Prognostic Biomarkers in Colorectal Cancer. Frontiers in Medicine. 9. 865230–865230. 12 indexed citations

5.

Schulz, Stefan, Ann-Christin Woerl, Florian Jungmann, et al.. (2021). Multimodal Deep Learning for Prognosis Prediction in Renal Cancer. Frontiers in Oncology. 11. 788740–788740. 62 indexed citations

6.

Woerl, Ann-Christin, Markus Eckstein, Daniel‐Christoph Wagner, et al.. (2020). Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides. European Urology. 78(2). 256–264. 111 indexed citations

7.

Fernandez, Aurélie. (2018). Exploring the Post-Treatment Experiences of Childhood Cancer Survivors. Journal of Global Oncology. 4(Supplement 2). 119s–119s. 1 indexed citations

8.

Foersch, Sebastian, Mario Schindeldecker, Martina Keith, et al.. (2017). Prognostic relevance of androgen receptor expression in renal cell carcinomas. Oncotarget. 8(45). 78545–78555. 21 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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