Andreas Heindl

1.6k total citations
19 papers, 776 citations indexed

About

Andreas Heindl is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Andreas Heindl has authored 19 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Andreas Heindl's work include Ovarian cancer diagnosis and treatment (5 papers), AI in cancer detection (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Andreas Heindl is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), AI in cancer detection (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Andreas Heindl collaborates with scholars based in United Kingdom, Austria and China. Andreas Heindl's co-authors include Yinyin Yuan, Konrad Koelble, Ivana Šestak, Jack Cuzick, Mitch Dowsett, Kuban D. Naidoo, Chunyan Lan, Daniel Nava Rodrigues, Susana Banerjee and Radhika Kandaswamy and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Andreas Heindl

19 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Heindl United Kingdom 12 290 246 202 173 171 19 776
Helen Bardwell United Kingdom 7 285 1.0× 188 0.8× 160 0.8× 240 1.4× 205 1.2× 8 654
Stephanie Robertson Sweden 14 430 1.5× 408 1.7× 296 1.5× 195 1.1× 298 1.7× 28 1.1k
Rachel L. Stewart United States 15 384 1.3× 342 1.4× 111 0.5× 281 1.6× 117 0.7× 31 942
Robin Edwards United States 12 493 1.7× 492 2.0× 205 1.0× 219 1.3× 195 1.1× 25 1.1k
Altuna Halilović Netherlands 9 208 0.7× 484 2.0× 157 0.8× 85 0.5× 188 1.1× 14 921
Benoît Plancoulaine France 14 143 0.5× 184 0.7× 166 0.8× 174 1.0× 217 1.3× 40 596
Artem Shmatko Germany 5 534 1.8× 177 0.7× 320 1.6× 256 1.5× 379 2.2× 5 1.1k
Ryan Hutchinson Australia 11 428 1.5× 144 0.6× 328 1.6× 87 0.5× 89 0.5× 18 688
Sami Blom Finland 14 159 0.5× 272 1.1× 92 0.5× 97 0.6× 71 0.4× 22 647
Rikke Riber‐Hansen Denmark 15 268 0.9× 349 1.4× 64 0.3× 125 0.7× 115 0.7× 34 654

Countries citing papers authored by Andreas Heindl

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Heindl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Heindl

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

All Works

19 of 19 papers shown
1.
Sharma, Nisha, A.Y. Ng, Jonathan J. James, et al.. (2023). Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms. BMC Cancer. 23(1). 460–460. 37 indexed citations
2.
Harvey, Hugh, et al.. (2020). Perceived Realism of High-Resolution Generative Adversarial Network–derived Synthetic Mammograms. Radiology Artificial Intelligence. 3(2). e190181–e190181. 17 indexed citations
3.
Li, Jin, Jessica K.R. Boult, Andreas Heindl, et al.. (2019). Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography. Cancer Research. 79(22). 5874–5883. 43 indexed citations
4.
Trahearn, Nicholas, Andreas Heindl, Susana Banerjee, et al.. (2019). Analysis of tumour ecological balance reveals resource-dependent adaptive strategies of ovarian cancer. EBioMedicine. 48. 224–235. 7 indexed citations
5.
Lan, Chunyan, Jinyuan Li, Xiaojia Huang, et al.. (2019). Stromal cell ratio based on automated image analysis as a predictor for platinum-resistant recurrent ovarian cancer. BMC Cancer. 19(1). 159–159. 7 indexed citations
6.
Heindl, Andreas, et al.. (2019). MammoGAN: High-Resolution Synthesis of Realistic Mammograms. 5 indexed citations
7.
Heindl, Andreas, Adnan Mujahid Khan, Daniel Nava Rodrigues, et al.. (2018). Microenvironmental niche divergence shapes BRCA1-dysregulated ovarian cancer morphological plasticity. Nature Communications. 9(1). 3917–3917. 30 indexed citations
8.
Heindl, Andreas, Ivana Šestak, Kuban D. Naidoo, et al.. (2017). Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER+ Breast Cancer. JNCI Journal of the National Cancer Institute. 110(2). 166–175. 114 indexed citations
9.
Hill, Deborah K., Andreas Heindl, David J. Collins, et al.. (2017). Non-Invasive Prostate Cancer Characterization with Diffusion-Weighted MRI: Insight from In silico Studies of a Transgenic Mouse Model. Frontiers in Oncology. 7. 290–290. 7 indexed citations
10.
Heindl, Andreas, Chunyan Lan, Daniel Nava Rodrigues, Konrad Koelble, & Yinyin Yuan. (2016). Similarity and diversity of the tumor microenvironment in multiple metastases: critical implications for overall and progression-free survival of high-grade serous ovarian cancer. Oncotarget. 7(44). 71123–71135. 23 indexed citations
11.
Lan, Chunyan, Andreas Heindl, Xin Huang, et al.. (2015). Quantitative histology analysis of the ovarian tumour microenvironment. Scientific Reports. 5(1). 16317–16317. 31 indexed citations
12.
Jäger, Roland, Gabriele Migliorini, Marc Henrion, et al.. (2015). Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci. Nature Communications. 6(1). 6178–6178. 146 indexed citations
13.
Heindl, Andreas, et al.. (2015). Beyond immune density: critical role of spatial heterogeneity in estrogen receptor-negative breast cancer. Modern Pathology. 28(6). 766–777. 103 indexed citations
14.
Heindl, Andreas, et al.. (2015). Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology. Laboratory Investigation. 95(4). 377–384. 162 indexed citations
15.
Hildebrandt, Achim, Sebastian Jäckle, Frieder Wolf, & Andreas Heindl. (2015). Methodologie, Methoden, Forschungsdesign. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
16.
Hill, Deborah K., Eugene Kim, Jose R. Teruel, et al.. (2015). Diffusion‐weighted MRI for early detection and characterization of prostate cancer in the transgenic adenocarcinoma of the mouse prostate model. Journal of Magnetic Resonance Imaging. 43(5). 1207–1217. 14 indexed citations
17.
Thalhammer, T., Ursula Thiem, Andreas Heindl, et al.. (2015). Quantitative Image Analysis of Epithelial and Stromal Area in Histological Sections of Colorectal Cancer: An Emerging Diagnostic Tool. BioMed Research International. 2015. 1–9. 21 indexed citations
18.
Heindl, Andreas, Alexander K. Seewald, Theresia Thalhammer, et al.. (2013). Automated REcognition of Tissue‐associated Erythrocytes (ARETE)—a new tool in tissue cytometry. Cytometry Part A. 83A(4). 363–374. 3 indexed citations
19.
Heindl, Andreas, Sabine Dekan, Isabella Ellinger, & Alexander K. Seewald. (2010). Towards a versatile automated cell-detection system for science and diagnostics. PubMed. 30. 3045–3048. 1 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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