Armin Meier

418 total citations
12 papers, 223 citations indexed

About

Armin Meier is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Armin Meier has authored 12 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Armin Meier's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Protein Structure and Dynamics (2 papers). Armin Meier is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Protein Structure and Dynamics (2 papers). Armin Meier collaborates with scholars based in United Kingdom, Germany and United States. Armin Meier's co-authors include Johannes Söding, Günter Schmidt, Katharina Nekolla, Nicolas Brieu, Nathalie Harder, Gabriele Madonna, Ralf Huss, Heike I. Grabsch, Takaki Yoshikawa and Ralf Schönmeyer and has published in prestigious journals such as Bioinformatics, Cancer Research and Scientific Reports.

In The Last Decade

Armin Meier

11 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armin Meier United Kingdom 7 93 79 68 61 27 12 223
Shaoping Ling China 5 80 0.9× 47 0.6× 40 0.6× 27 0.4× 30 1.1× 8 182
Pascal Notin United Kingdom 5 390 4.2× 45 0.6× 16 0.2× 31 0.5× 10 0.4× 7 603
G. Y. Srinivasarao United States 9 341 3.7× 25 0.3× 24 0.4× 25 0.4× 10 0.4× 9 426
Hassaan Maan Canada 7 314 3.4× 28 0.4× 14 0.2× 41 0.7× 9 0.3× 9 480
Avantika Lal United States 9 278 3.0× 16 0.2× 28 0.4× 21 0.3× 29 1.1× 16 404
Antonio Palmeri Italy 8 271 2.9× 19 0.2× 28 0.4× 14 0.2× 8 0.3× 12 386
Joseph Min United States 5 352 3.8× 36 0.5× 12 0.2× 22 0.4× 11 0.4× 6 520
Matthew B. O’Rourke Australia 11 218 2.3× 10 0.1× 85 1.3× 21 0.3× 6 0.2× 28 417
Aurelie Tomczak Germany 9 161 1.7× 8 0.1× 39 0.6× 12 0.2× 27 1.0× 12 283
Fabian Schmich Switzerland 9 168 1.8× 15 0.2× 17 0.3× 25 0.4× 5 0.2× 15 317

Countries citing papers authored by Armin Meier

Since Specialization
Citations

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

Fields of papers citing papers by Armin Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Meier

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

All Works

12 of 12 papers shown
1.
Sung, Matthew, Matthew E. Wilson, Dominik Vonficht, et al.. (2025). Abstract 7149: The role of TROP2 in the MoA of Dato-DXd and how it underpins the biologic rationale of the novel AI-guided biomarker TROP2 normalized membrane ratio. Cancer Research. 85(8_Supplement_1). 7149–7149.
2.
Brieu, Nicolas, Anatoliy Shumilov, Armin Meier, et al.. (2024). HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer. Scientific Reports. 14(1). 12129–12129. 16 indexed citations
3.
Meier, Armin, Keith E. Steele, Marlon C. Rebelatto, et al.. (2021). Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images. IEEE Transactions on Medical Imaging. 40(9). 2513–2523. 22 indexed citations
4.
Meier, Armin, et al.. (2021). Breast cancer patient stratification using domain adaptation based lymphocyte detection in HER2 stained tissue sections. 2 indexed citations
5.
Meier, Armin, Katharina Nekolla, Lindsay C. Hewitt, et al.. (2020). Hypothesis‐free deep survival learning applied to the tumour microenvironment in gastric cancer. The Journal of Pathology Clinical Research. 6(4). 273–282. 26 indexed citations
6.
Harder, Nathalie, Ralf Schönmeyer, Katharina Nekolla, et al.. (2019). Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma. Scientific Reports. 9(1). 7449–7449. 43 indexed citations
7.
Brieu, Nicolas, et al.. (2018). Machine Learning: A Data-Driven Approach to Image Analysis. 69–100. 1 indexed citations
8.
Meier, Armin, Katharina Nekolla, Lindsay C. Hewitt, et al.. (2018). End-to-end learning to predict survival in patients with gastric cancer using convolutional neural networks. Annals of Oncology. 29. viii23–viii23. 9 indexed citations
9.
Meier, Armin, Matthew Hale, Takaki Yoshikawa, et al.. (2017). Abstract 3958: The importance of co-localized resting CD8+ T cells and proliferating tumor cells in gastric cancer. Cancer Research. 77(13_Supplement). 3958–3958. 1 indexed citations
10.
Meier, Armin & Johannes Söding. (2015). Automatic Prediction of Protein 3D Structures by Probabilistic Multi-template Homology Modeling. PLoS Computational Biology. 11(10). e1004343–e1004343. 91 indexed citations
11.
Meier, Armin & Johannes Söding. (2014). Context similarity scoring improves protein sequence alignments in the midnight zone. Bioinformatics. 31(5). 674–681. 11 indexed citations
12.
Spichtin, Hanspeter, et al.. (1982). [Localized colitis cystica profunda].. PubMed. 112(42). 1458–62. 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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